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Home My WebLink AboutResponse to Comments - Agenda Item No. 35 MEMORANDUM www.santa-ana.org Honorable Mayor, Mayor Pro Tem, and Members of the City Council November 19, 2024 To:Date: Minh Thai, Executive Director Planning and Building Agency From: CITY RESPONSES TO COMMENTS RECEIVED ON ORDINANCE AMENDMENT (OA) NO. 2024-04 FOR SHORT-TERM RENTALS Subject: Prior to the City Council meeting of Tuesday, November 19, 2024, the City had received two comments on OANo. 2024-01 for short-term rentals.Specifically, one comment challenges the City’s environmental analysis pursuant to the California Environmental Quality Act (CEQA).The City has prepared a response to thiscomment to address the specific topic(s) raised by the commenter. None of the comments raise any new information or bring forward any new information of substance that has not already been addressed by the staff report and environmental analysis prepared for the City Council’s consideration of the action. The City’s responses to the comments are included in this packet. The responses will also be uploaded to the online packet to form part of the project record. Enclosures: 1. Public Comment Receivedon CEQA Analysis, with Numbering Annotations 2. City Response RESPONSE TO COMMENTSMEMORANDUM–ITEM 35: OA NO. 2024-04 (SHORT-TERM RENTALS) DATE November 19, 2024 TO City of Santa Ana ADDRESS 20 Civic Center Plaza | P.O. Box 1988 |Santa Ana, CA 92702 CONTACT Ali Pezeshkpour, AICP, Planning Manager FROM Malia Durand, Associate Principal SUBJECT Response to Comments Received on the November 19, 2024,City Council Meeting Item No.35: Short-Term Rental Ordinance PROJECT NUMBER SNT-24.2 th A singlecommentwasreceivedprior to the November 19, 2024 public hearing before the City Council (see Table 1). This memo provides responses to the comment received.As an Addendum does not require public circulation, a formal comment-and-response process is not necessary.However, for consideration by the Council, a response was prepared to provide clarity regarding the environmental concerns raisedrelated to the City of Santa Ana Short-Term Rental Prohibition Ordinance (Modified Project). Section 41-190(a) of the Santa Ana Municipal Code is a permissive ordinance, meaning that those uses expressly listed in the Zoning Code are permissible, and those not listed are prohibited. The Santa Ana Municipal Codedoes not and has never listed short-term rentals as a permissible use in any zoning district. As such STRs are prohibited and unauthorized under the enforcement practice afforded by Section 41-190(a). The Modified Project would add Article XXI (Short-Term-Rentals) (Sections 8-3400–8-3402) to Chapter 8, Building and Standards, of the Santa Ana Municipal Code. Specifically, Article XXI would include Sections 8- 3400 through 8-3402 to provide definitions, identify prohibited uses, and identify violations of the Article. A description of each new section of Article XXI is provided in Attachment A of theEnvironmental Impact Report (EIR)Addendumprepared for the project. Concurrently, the City Council is proposing to adopt a resolution to set administrative fines for violations of local building codes and short-term rental laws, pursuant to Government Code Section 36900 and Santa Ana Municipal Code Sections 1-21 through 1-21.9. Table1Comments Received Number ReferenceCommenting Agency/PersonDate Organization O1Gaines & Stacy LLPNovember 18,2024 The original comment letterswithbrackets andnumber assignments for individual commentsare included as an attachment to this memorandum(Attachment A). Responsesare provided to each of the comments below. November 19,2024|Page 2 LetterO1–Gaines&StaceyLLP(171pages) O1.ResponsetoCommentstoAliciaB.BartleyfromGaines&StaceyLLP,datedNovember18,2024. O1-1This commentsummarizes the role of Gaines & Stacey LLP and requests the City repeal and reenact a prohibition on short-term rentals (STRs). No response is required. O1-2This comment summarizes the conclusions made in the comment letter. Specifically,that the Modified Projectwould adverselyimpactthe environment(vehicle miles traveled \[VMT\], air quality, energy consumption, and greenhouse gas emissions \[GHG\]), violate state and federal law, and infringe on the rights ofSTR hosts and their guests. The Environmental Impact Report (EIR)Addendum identified that the previously certified General PlanUpdate Final ProgramEIR(GPU PEIR)concluded significant and unavoidable impacts related to air quality and greenhouse gas emissions. Significant changes related to VMT and energy consumption would occur if the Modified Projectproposedwouldresult in significant expansionsor changes toexisting or former uses; these changes would deviate from the scope of the approved project, the impacts of which would not be covered by the certified General PlanUpdate FinalPEIR. The Modified Projectwould not result in a significant expansion of existing or former uses; the Modified Projectreaffirms existing lawwhich is that STRs are not permitted in any zone district of the Cityand were not permitted at the time the General Plan Update Final PEIR was certified. No development, redevelopment, or change to existing development type in the City is proposed or required to implement the Modified Project. The Modified Projectwould not result in any new or more severe significant impacts than previously analyzed in the certified General Plan Update FinalPEIR because STRs have never been an allowed use. The Modified Project affirms this conditionand establishes a mechanism to enforce removal of land uses inconsistent with this policy of the City.This comment does not identify a specific deficiency in the EIR Addendumnor a new or exacerbated potential significant environmental impact. No changes to the EIR Addendumand no additional CEQA documentation are required. O1-3This comment requests that the City repeal the existing Article XXI to Chapter 8 of the Santa Ana Municipal Code and requests that City Staff work with stakeholders to develop a new ordinance that underscores that STRs may continue operating. This comment does not identify a specific deficiency in the EIR Addendum nor a new or exacerbatedpotential significant environmental impact. No changes to the EIR Addendum and no additional CEQA documentation are required. O1-4This comment provides background information regarding the Santa Ana Short-Term Rental Alliance and challenge to the April 2024 STR Ordinance.This comment does not identify a specific deficiency in the EIR Addendum nor a new or exacerbated potential significant environmental impact. No changes to the EIR Addendum and no additional CEQA documentation are required. O1-5This comment provides a summary of the history and importance of STRs in the City.No further response is necessary. O1-6This comment states that the Modified Projectis unrelated to the approved project analyzed in the certified General Plan Update Final PEIR and that the Modified Project November 19,2024|Page 3 would result in significant environmental impacts that have not been evaluated under CEQA. As discussed on Page 7 of the EIR Addendum, Section 41-190(a) of the Santa Ana Municipal Code is a permissive ordinance, meaning that those uses expressly listed in the Section are permissible and those not listed are prohibited. The Santa Ana Municipal Code does not now, and has never listed STRs as permissible uses in any zone district, including those zoned for residential. According to the California Department of Housing and Community 1 , STRs decrease housing supply; thereby altering the existing Development (HCD) conditions established in the Geneal Plan EIR. The Modified Projectwould amend the Santa Ana Municipal Code to expressly prohibit short-term rentals within the City. The Modified Projectwould reaffirm existing law and solidify the existing conditions analyzed in the certified General Plan Update Final PEIR and would set administrative fines for violations of local building codes and short-term rental laws, pursuant to Government Code Section 36900 and Santa Ana Municipal Code Sections 1-21 through 1-21.9.The Modified Project would not result in a significant expansion of existing or former uses.No development, redevelopment, or change to existing development type in the City is proposed or required to implement the Modified Project. Therefore, the Modified Projectwould not significantly change the scope of the approved project analyzed in the certified General Plan Update Final PEIR. Ergo, the EIR Addendum prepared for the Modified Projectis the appropriate CEQA documentation as the Modified Projectis within the scope of the approved project. The commenter suggests that the Modified Project (permitted uses) would result in more severe impacts as compared to the existing illegal uses (STRs). This comment states that the following environmental topics will be adversely affected by the Modified Project based on conclusions identified in Attachment A (CAJA EnvironmentalServices, Significant Environmental Effects of BanningShort-Term Rentals in the City of Santa andRequirement Require Additional EnvironmentalAnalysis Under CEQA) of the comment letter: Air quality (mobile emissions) Energy (energy demand) GHG emissions(mobile emissions) Noise (traffic noise) Transportation (VMT) It should be noted that “Environmental Justice” is not an environmental topic included in Appendix G of the CEQA Guidelines. However, impacts on disadvantaged communities are discussed in the topics listed above. No response is required to address environmental justice. The commenter’s conclusions regarding the above listed topics are rooted in speculative data and assumptionsused in Attachment A. For example, Attachment A of the comment letter states that the Modified Project would force visitors and residents to find transient accommodations outside the Citywhich necessarily assumes that the visitors would ignore the many existing hotels and motels that already exist within the City.This comment is speculative as it is based on unsubstantiated assumptionrather than substantial evidence. CEQA Guidelines Section 21082.2 states that “argument, speculation, unsubstantiated opinion or narrative, evidence which is clearly inaccurate or erroneous,or evidence of 1 California Department of Housing and Community Development, California’s Housing Future 2040: The Next RHNA, https://www.hcd.ca.gov/sites/default/files/docs/planning-and-community/rhna/cahf-2040-rhna-report-2024.pdf November 19,2024|Page 4 social or economic impacts, which do not contribute to, or are not caused by, physical impacts on the environment, is not substantial evidence.”Additionally,CEQA Guidelines Section 15145 states that speculative analysis need not be included in impact discussions. The EIR Addendum identified that the previously certified General Plan Update Final PEIR concluded significant and unavoidable impacts related to air quality, GHGemissions, and noise. Significant changes related to VMT, and energy consumption would occur if the Modified Projectwould result in significant expansionsor changes to existing or former uses; these changes would deviate from the approved General Plan, the impacts of which would not be covered by the certified General Plan FinalUpdate PEIR. No development, redevelopment, or change to existing development types in the City are proposed or required to implement the Modified Project. The Modified Projectis not adding any new land use, and reaffirms the conditions in effect at the time of the certification of the General Plan Update Final PEIR. Nothing in the comment letter based on fact, or in the analysis in the Addendum point to any facet of the Modified Project that would result in any new or more severe significant impacts than previously analyzed in the certified General Plan Update Final PEIR. No changes to the EIR Addendum and no additional CEQA documentation are required. The comment also claims that an addendum is inappropriate because the Modified Project constitutes a new project that has not been previously reviewed and warrants new environmental review. CEQA includes a presumption against requiring any further environmental review once an EIR has been prepared for a project. (Pub. Resources Code, 21166.) As the court explained in Bowman v. City of Petaluma(1986) 185 Cal.App.3d 1065, 1073, “\[S\]ection 21166 comes into play precisely because in-depth review has already occurred, the time for challenging the sufficiency of the original EIR has long since expired \[21167(c)\], and the question is whether circumstances have changed enough to justify repeating a substantial portion of the process.” (emphasis added.) As discussed above and in the Addendum, the Modified Project does not change or alter in any way the existing land use designations citywide set forth in the General Plan and analyzed in the GP Final PEIR. In other words, contrary to the comment, the General Plan Update Final PEIRoffers information value because it already analyzed the land use conditions within the City as contemplated and proposed in the Modified Project. Thus, there are no substantial changes being made to the project or with respect to circumstances that warrant major revisions to the previous GP Final PEIR due to the involvement of new or more severe significant impacts, nor is there new information of substantial importance that shows there will be new or more severe significant impacts. An Addendum to the General PlanUpdate Final PEIR is therefore appropriate. For the same reasons as discussed above and in the EIR Addendum, the Modified Project also fits within the Class 1 exemption. The Modified Project would not result in a significant expansion of existing uses or former uses, and instead reaffirms the existing law. The comment raises no substantial evidence to suggest that the Modified Project does not fall within Class 1, or that any of the exceptions to the Class 1 exemptionunder State CEQA Guidelines section 15300.2 apply here. The Modified Project is therefore also exempt from further environmental review pursuant to the Class 1 exemption. O1-Attachment AThis attachment states that the City’s environmental analysis of theModified Project is inadequate and reiterates the statements summarized in Comment O1-6. The attachment’s conclusion is based on unsubstantiated data and assumptions. The November 19, 2024 | Page 5 attachment makes erroneous assumptions that the Modified Project would force visitors and residents to travel further and longer for transient accommodations and would indirectly cause the construction of hotels. These claims are baseless, speculativeand are not backed by substantial evidence. Additionally, the attachment states that theGeneral Plan Update Final PEIR did not analyze impacts related to STRs; therefore, does not include informational value related tothe STRs ban impacts on air quality, GHG emissions, noise, and VMT. Because STRs are not a permitted use and have never beena permitted use, the baseline used in the General Plan Update Final PEIR did not include STRs as an existing use; the General PlanUpdateFinal PEIR analyzed impacts related to legally conforming uses. If the STR ban were to be rescinded, impacts associated with the legal operation of STRs would be required to be analyzed under CEQA as these impacts would be considered a new use and would not be covered by the certified EIR and would result in changes to the approved General Plan. The conclusions identified in the attachment are based on argument, speculation and unsubstantiated opinions/narrative and do not provide substantial evidence to support the commenter’s conclusions.No changes to the EIR Addendum and no additional CEQA documentation are required. TheCitywill consider all comments and recommendations as part of its decision-making for this project. November 19,2024|Page 6 Attachment A: Bracketed Comment Letter November 19,2024|Page 7 5820 Canoga Avenue, Suite 300 Woodland Hills, CA 91367 T (818) 933-0200 F (818) 933-0222 www.gaineslaw.com November 18, 2024 VIA EMAIL eComment@santa-ana.org Mayor Valerie Amezcua Mayor Pro Tem Thai Viet Phan Councilmember Benjamin Vazquez Councilmember Jessie Lopez Councilmember Phil Bacerra Councilmember Johnathan Ryan Hernandez Councilmember David Penaloza Santa Ana City Council City Council Chamber 20 Civic Center PlazaM-30 Santa Ana, CA 92701 Re: November 19, 2024, City Council Meeting Item 35: Ordinance Amendment No. 2024- 04 Repealing and Reenacting in its Entirety Article XXI to Chapter 8 of the Santa Ana Municipal Code Prohibiting Short-Term Rentals, and Adopt Enhanced Fines for Violations of the Short-Term Rentals Ordinance Dear Mayor Amezcua and Honorable City Councilmembers, This law office represents the Santa Ana Short- members own and operate STRs within the City. Thank you for the opportunity to submit these comments onbehalf of the Rental Alliance on 2024-04,amending the Santa Ana Municipal Code (SAMC) to repeal and reenact a prohibition on short-term rentals(STRs). As we detail below, consistent withmany ofour prior comments, the prohibition of STRs would(a) result in significant environmental impacts,(b)violate state and federal law, and (c)unconstitutionally infringe on the rights of hosts and their guests.We also present new evidence by technical experts demonstratingthe STR ban will adversely impact the physical environment by causing reasonably foreseeable increases in vehicle miles traveled, air pollutants (and related adverse health consequences), greenhouse gasemissions, and fossil fuel consumption.As just one examplefrom the attached technical reports: when comparing visitors staying at a hotel compared to an STR, mobile emissions ofvolatile organic compounds, nitrogen oxides,and micro particulatesall scientifically provento contribute to smog and increase risks of cancer, asthma,lung damage,and other health impairmentswere calculated Santa Ana City Council November 18, 2024 Page 2 toincrease by over 400%.These impacts risk harming sensitive receptors and environmental justice communities contraryto state, regional, and local policies. is woefully inadequate inanalyzing and disclosing these impacts to the community. We respectfully request that you repeal the existing Article XXI to Chapter 8 of the SMC (which was adopted illegally in April 2024) and direct Staff to work with stakeholders to develop a new ordinance that underscores that STRs maycontinue operating,subject to reasonable regulations, . Backgroundon the Santa Ana Short-Term Rental Allianceand Challenge to the April 2024 STR Ordinance TheSanta Ana Short-Term Rental Alliancean unincorporated community association made up of hardworking residents of both the City of Santa Ana and Southern California that own and/or manage homes located within City limits rented on a short-term basis. Theycome from diverse backgrounds and call California home. In April2024, the City unlawfully enactedan ordinance banning STRs in the City with almost no public notice andwithout undertaking the environmental review required by the California Environmental Quality Act That action threatened to destroy security, closed the door to Santa Ana for countless would-be visitors, and disproportionately affected the individuals and families most in need of flexible housing options and who are often shut out of the long-term residential housing market. In response to that illegal action, this officefiled achallengeon behalf of the Rental Alliancein Orange County Superior Court (Santa Ana Short-Term Rental Alliance v. City of Santa Ana, No. TC24-5449 (Orange County Superior Court).While we are pleased that Staff has brought forward a proposal to rescind the illegally adopted ordinance, the Amended Ordinanceproposes to adopt the exact same ban on STRs as adopted in April.As summarized herein, the Amended Ordinance is legally flawed, and should the City move forward with readopting the ban,the Rental Alliance intends to challenge the Amended Ordinance. History and Importanceof STRs in Santa Ana STRs have always been lawful, residential uses in Santa Ana.Hostshave opened and shared their homes to transient renters for decades, providing important visitor-serving accommodations and offering guests authentic cultural experiences in all corners of the City. These rentals provide an opportunity for visitors to Orange Countyto meet and interact with locals who graciously share their homes. And with theexception of a brief 2015 moratorium that expired on its own terms, STRs havelongbeen a recognized activity in Santa Ana. Indeed, many of the Rental Alliance members have acquired a business license from the City for each rental unit that they own or manage. 2 Santa Ana City Council November 18, 2024 Page 3 STRs help to make housing affordable for those homeowners who are able to home shareand earn money by renting portions of their houses, or the entire house, for a period of time. This helps make homeownership possible for many Santa Ana residents who otherwise could not afford the high cost of housing. Homesharing has made communities throughout California accessible to more and more familieseven if only for a weekend. It fosters vibrant and diverse communities and supports a robust tourism economy statewide. Without STRs, many desirable vacation destinations, such as Orange County,would likely be less accessible for a wide variety of families. Home sharing also addresses full-time residents who are unable to pay steep residential move-in costs, which typically include advance payment of first and last monthsrent anda sizeable security deposit, can immediately occupy an STR without the substantial up-front cost. In this way, STRscan immediately supply housing tofill a critical gap in availability facing California cities. STRs also play an important role for aspiring residents seeking to sample, and then select, the type and location of their preferred long-term rental homeorhome purchase. extensive benefits is particularly troubling. The Prohibition of STRs Will Have Significant Environmental Impacts That Have Not Been Evaluated under CEQA The Amended Ordinance will have significant environmental impacts, and the City has failed to appropriately evaluate these impacts under CEQA. As summarized next, the evidence is clear that the STR ban will impact the physical environment, resulting in reasonably foreseeable direct increases in vehicle miles traveled, air pollutants (with adverse health consequences), greenhouse gasemissions, energy use (including fossil fuels), and more. The City has fallen far short of analyzing these direct impacts in conformance with CEQA. What is more, the City patently ignores reasonably foreseeable indirect effects spurred by the STR ban, such as new construction to account for increased hotel demand, and cumulative impacts resulting from cascading regional impacts from similar STR bans. Despite our strenuous requests during the April 2024 hearings and the subsequent litigation, the City continues to shirk its responsibilities under CEQA to analyze and disclose the true consequences of its actions. 1.The City inappropriately relies on an addendum to an EIR for a completely different, unrelated project. GP PEIR) is impermissible under CEQA because the AmendedOrdinance constitutes a new project that has not been previously reviewed, and the changes it introduces are substantial, requiring new environmental review. 3 Santa Ana City Council November 18, 2024 Page 4 CEQA provides that a changed project may only undergo a streamlined subsequent environmental review under certain circumstances that trigger either a subsequent EIR, a supplemental EIR, or an addendum to a previously certified EIR. (See CEQA Guidelines §§ 1516264.) An addendum to a previously certified EIR is appropriate only when the necessary changes or additions do not trigger a subsequent or supplementalEIR, meaning the changes or additions are minorand do not involve new significant environmental effects or a substantial increase in the severity of previously identified significant effects. (CEQA Guidelines §§ 15162 and 15164.) project that has been subject to environmental review; the provisions do not apply if the agency has proposed a new project not previously analyzed in the original environmental document (Martis Camp Community Association v. County of Placer(2020) 53 Cal.App.5th 569, 606 n.26 \[emphasis added\]; see also Friends of College of San Mateo Gardens v. San Mateo County Community College Dist.(2016) 1 Cal.5th 937, have no application if the agency has proposed a new project that has not previously been subject The Staff Report asks the City to certify an addendum based on the GP PEIR that did not review the environmental impacts of the AmendedOrdinance or even acknowledge the existence of STRs in the City. The Amended CEQA and the use of an addendum or any other subsequent environmental review pathway is insufficient to comply with CEQA. Further, Friends of College of San Mateo Gardensheld that in order for a lead agency to rely on a previously certified CEQA document, that document must Friends of College of San Mateo Gardens v. San Mateo County Community College Dist.(2017) 11 Cal.App.5th 596, 605.) Here, because the GP PEIR does not analyze the impacts of banning short term rentals or even mention short term rentals at all, it retains no informational value as to the AmendedOrdinance. Indeed, the GP PEIR offers no informational value on the reasonably foreseeable direct, indirect and cumulative impacts from the STR ban because the GP PEIR analysis completely ignores STRs. The Proposed Ordinance is a new project constitutinga substantial change from the conditions contemplated in zoning code had always prohibited STRs and instead held that an ordinance expressly banning STRs wa (Keen v. City of Manhattan Beach(2022) 77 Cal.App.5th 142,14849.) Here, like in Keen, the Amended the City cannot rely on previously approved documents that did not contemplate the impacts of theAmendedOrdinance. a program EIR is employed, if a later proposal is not either the same as or within the scope of the project described in the program EIR . . . it is treated as a ne (Save Our Access v. City of San Diego(2023) 92 Cal.App.5th 819, 845.) \[internal quotations and citations omitted\].) A program EIR that does not include anydiscussion or analysis of a later proposed activity is not adequate to inform the public of the environmental effects of that later activity such that the later activity is outside the scope of the program EIR. (Id. at 852-53.) The 4 Santa Ana City Council November 18, 2024 Page 5 GP PEIR does not discuss, analyze, or inform the public of the environmental effects associated with the AmendedOrdinance. Therefore, even if the City were to assess the AmendedOrdinance under the GP PEIR, the environmental impacts of the STR ban were adequately assessed by the scope of the GP PEIR and therefore the STR ban must be fully analyzed with a project-specific EIR. The evidence is clearthat an EIR is needed because the STR ban is likely to cause potentially significant impacts to the environment that were not covered by the GP PEIR. (Id employed, if a later proposal is not either the same as or within the scope of the project deferential substantial evidence standard\] \[emphasis added\].) In addition, even if the GP PEIR were relied upon, the high-level, programmatic nature of the GP PEIR translates to a lack of detail that requires much more than a short addendum to correct. Rather, a supplemental or subsequent EIR is needed because the STR ban cannot be addressed only permitted where minor changes are needed to the prior analysis. As detailed herein, the complete absence of prior analysis of STRs, let alone the STR ban, requires changes to many topic areas covered by CEQA and raises new potentially significant impacts that cannot be addressed with minor clarifications. AmendedOrdinance based on an addendum or any other subsequent, supplemental, or tiered analysis based on the GP PEIR would violate CEQA. 2.The potentially significant environmental impacts of an STR ban require the City to prepare a new EIR. Even if an addendum were appropriate, the 51-page Addendum falls far short of appropriately analyzing and disclosing impacts under CEQA. The GP PEIR is silent on STRs and the Addendum contains only a cursory, superficial, and unsupported analysis of the STR ban. As detailed in Attachment A to this letter (CAJA Environmental Services, Potential Significant Environmental Effects of Banning Short-Term Rentals in the City of Santa and Requirement Require Additional Environmental Analysis Under CEQA, November 14, there are several potentially significant direct environmental impacts that could result from a STR ban in the City, including but not limited to: Air quality. The STR ban would result in an increase in daily mobile emissions of approximately 443 percent of NOx and 444 percent of PMfrom guests of STRs 2.5 transitioning to using hotels. (CAJAReport,pp. 2-3.) NOx causes adverse health consequences including breathing difficulties and increased risk of chronic pulmonary fibrosis as well as bronchitis in children. PMcan damage the respiratory tract, increasing 2.5 the number and severity of asthma attacks, and aggravating bronchitis and other lung Ramboll Memo re Environmental Analysis of Short-Term Rental Regulation dated November 14, 2024, p. 3.) 5 Santa Ana City Council November 18, 2024 Page 6 Construction of new hotels without emissions mitigation would result in an excess cancer risk of 48 in a million for the maximum exposed individual exceeding by more than 4 . (CAJAReport, p. 2.) Environmental Justice Community impacts. The STR ban would disproportionately by regional pollution and localized traffic exposure are located near the existing hotel stock and would be directly impacted by increased hotel usage in response to the STR ban, increasing the known pollution contributors to respiratory and cardiovascular health risks in these communities. (CAJAReport, p. 3.) Traffic concentration and health impacts. The STR ban could increase traffic concentrated on roadways going to the hotels in the City by 7,560 vehicles per day, resulting in health impacts that would exceed the SCAQMD CEQA threshold of significance for cancer risk. (CAJAReport, p. 3.) Energy. The STR ban would increase energy demand because hotels use more energy per person than STRs (more than 5x more electricity, more than 2x more natural gas). (CAJA Report,p. 3.) By increasing VMT, the STR ban would also increase reliance on fossil fuels to power vehicle tripsthe daily mobile fuel consumption for hotels is more than five times greater for hotels compared to STRs for both gasoline and dieselinconsistent with regional and state climate goals. (CAJAReport, p. 3.) GHG emissions. The STR ban would result in an increase of daily mobile emissions of GHG by 443 percent, contributing to a significant increase in emissions in the area in direct conflict with regional and state goals to reduce VMT and GHG emissions from vehicle trips. (CAJA Report, p. 3.)Further, Ramboll concluded that the increased energy demand associated with hotels compared to STRs would result in a 179 percent increase in GHG emissions per person. (CAJAReport, p. 3.) Noise.The STR ban could concentrate traffic on roadways going to hotels in the area, since many hotels in the City are located in one concentrated area of the City, resulting in noise potentiallyexacerbating existing noise impacts or creating a new significant noise impact. (CAJA, p. 4.) There are also potential i new hotel space construction. The STR ban will cause potentially significant new impacts related to hotel construction including air quality and health impacts from construction emissions Report p. 4.) These and the other potentially significant environmental impacts summarized in Attachment A to this letter also mean the AmendedOrdinance is not eligible for a Class 1 exemption and that the City must prepare a full EIR. 6 Santa Ana City Council November 18, 2024 Page 7 If the City Council were to ignore the substantial evidence in the record of potential impacts and proceed with adopting the Amended Ordinance without first preparing an EIR to analyze these potentially significant impacts, alternatives to the STR ban that may result in lesser impacts, and mitigation measures to reduce the potential impacts, such an action would constitute an abuse of discretion. ProhibitingSTRs in Santa Ana Violates State and Federal Law The prohibition of STRs in the City violatesstate and federal laws in numerous ways.Specifically: 1.STRs have legally operatedfor decades. STRs have operated legally in the City for decadesandthe City has acknowledged the operation of STRs within its boundaries for years. For instance, on September 15, 2015, the City Council -day temporary moratorium on the establishment or expansion of any short term residen(Ordinance No. NS-2886.) do not clearly identify short-term residential rental uses or take into account the potential impacts associated with the establishment of STRs within existing residential zones. As such, provisions of . . . the Code . . . require review, study, and possible revision in order torespond to recent concerns relating to the impacts of these short-(Id., Section 1.B (emphasis added).)Importantly, the 2015emergency ordinance for the moratorium specially -term residential rental is permitted in a residential zone as defined in Article (Id.,Section 2.)Of course, this new prohibition would not have been necessary had STRs not been an existing lawful use in the City. On October 20, 2015, the City Council considered a recommendation to extend the moratorium adopted on September 15, 2015, but it declined to do so.The result was that STRs continued operating as lawful residential uses throughout the City. Then,after continuously issuing ministerial business licenses for hosts renting their property on a short-term basis and long after the temporary moratorium expired, the City changed its position. Around early 2022, the City suddenly claimed that STRs were pro and commencedenforcement actions against existing hosts.And now, the City states in the Staff Report thatSTRs are not, and have never been, a permitted use refore, STRs have always been prohibited by the City and this 4, Staff Report, p. 3.) - mentioned in the Municipal Code in the context of urban lot splits. The Municipal Code -tted in dwelling units on lots created by an urban lot split. (Santa Ana Mun. Code § 41.2109(l)(2); see alsoid. § 41- 2115(l)(2) \[same prohibition for dwelling units on lot for Two-Unit Projects\].) Notably, in both of these code provisions, the prohibitionon STRs on these types of lots is in a separate subpart 7 Santa Ana City Council November 18, 2024 Page 8 -. (SeeSanta Ana Mun. Code -only. No non-residential use is permitted on any lot created by urban -2115(l)(2) \[same\].) If STRs were not a residential property use, the separate prohibition would be superfluous. prohibited by omission throughout the entire City. After all, why would the City prohibit them explicitly in one placeif they were alreadyimpliedly prohibitedeverywhere? If they are prohibited in the entire City, sections 41-2109 and 41-2115 would be superfluousin violation of California law. (In re C.H., 53 Cal.4th 94, 102-03 (2011) \[California courts strive to give meaning to every word in a statute and avoid constructions that render words, phrases,or clauses superfluous.\]; Escamilla v. Vannucci, 97 Cal.App.5th 175, 187-88 (2023).) Homeowners cannot understand what is and is not prohibited if the City adopts such nonsensical readings of its ownzoning provisions. foreclosed Keen v. City of Manhattan Beach. (77 Cal. App. 5th 142 (Cal. Ct. App. 2022).) There, the court considered a permissive zoning ordinance -- did not say anything about STRs. (Id. quite some time, . . . rented residential units in Manhattan Beach on both long-and short-term mplaints about a rental Id.at 146.) Then, in 2015, Manhattan Beach passed an ordinance banning STRs and claimedmuch like Staff has done here Ibid.) The Court of Appeal squarely disagreed, holding always permitted short-term, as well as long-Id.at 148 (emphasis added).) The court explained that once the house or apartment building was built, anyone renter or owner distinction about the dura Id.at 148- Id.at 149.) As in Keen- on these residential uses. (Santa Ana Mun. Code, §41-184et seq.) And, just as in Keen, long-term rental of residential property is permitted under the existing Santa Ana code. And so, just as in Keen,without any durational requirement for rentals in the code, there is no justification for the unfounded claim that STRs are currently forbidden. 8 Santa Ana City Council November 18, 2024 Page 9 2.The Amended Ordinance would unlawfully terminateexisting, lawfulnonconforming uses . Hansen Bros. Enters., Inc. v. Bd. of Supervisors, 907 P.2d 1324, 1327 n.1 (Cal. 1996) (citing cases). The Id.California courts have long held that a party may continue to use their property even though such useis nonconforming. (Hill v. Manhattan Beach, 6 Cal.3d 279, 285-86 (Cal. 1971); Livingston Rock & Gravel Co. v. Los Angeles County, 43 Cal.2d 121, 127 (Cal. 1954); Edmonds v. Los Angeles County, 40 Cal.2d 642, 651 (Cal. 1953); E.B. Jones v. City of Los Angeles, 211 Cal.304, 310-311 (Cal. 1930).) The reason is simple: immediate termination of previously lawful (and now non-conforming) uses would be of doubtful constitutionality. (Livingston Rock & Gravel Co., 43 Cal. 2d at 127; Edmonds, 40 Cal. 2d at 651.) Th principles, which provide that when a zoning ordinance changes, a property owner may have a City of Ukiah v. County of Mendocino, 196 Cal.App. 3d 47, 56-57 (Cal. Ct. App. 1987).) are making lawful uses of their property, and they have made significant investments in their homes to offer them as STRs. Settled California law affords themnonconforming use rights to continue theirSTR use. The Amended Ordinancecannot legally withdraw those rights. that legal nonconforming land uses may continue subject to limitations on expansion or enlargement of the use, or abandonment of use. (SeeSanta Ana Mun. Code § 41-68341-689.) 3.Recent United States Supreme Court cases establish that the Amended Ordinance would result in a taking, entitling allhosts of the 700+ existing STRs in the City to compensation. The Due Process Clause of the Fourteenth Amendment safeguards rights deeply rooted in United with constitutional framers emphasizing private property as bulwark againstunlawful exercises of critical aspect of these rights, protected by the Takings Clause of the U.S. and California constitutions, which requires just compensation for property taken or damaged for public use. The Supreme Court recently expanded physical takings law to encompass temporary and intermittent physical invasionssimilar to deprivations of the right to lease. In Cedar Point Nursery v.Hassid, the Court held that a regulation requiring agricultural employers to allow union organizers to have periodic and temporary access to farm workers on the property constituted a physical (and not a regulatory) taking. (594 U.S. at 143.) for the enjoyment of third parties th (Id.at 149.)The ordinanceherenot only impedes on the corollary right to include, it also effectively requireshosts to allow renters 9 Santa Ana City Council November 18, 2024 Page 10 right to exclude. Importantly, the Federal District Court of Hawaii recently considered an ordinance similar to that proposed by Santa Ana that barred certain STRs. (-Term Rental All. v. City & Cnty. of Honolulu, 2022 WL 7471692, at *2-3 (D. Haw. Oct. 13, 2022).) motion for a preliminary injunction, the court held that the plaintiff would likely succeed on the merits of a takings claim under the Federal and Hawaii Constitutions. (Id.at *5.) Because the Ordinance impacts both the right to include and the right to exclude from property, all existing STR hosts would be entitled to compensation if the City Council were to adopt the Amended Ordinance. 4.The adoption of the Amended Ordinance would constitute arbitrary and capricious decision-making. There is no evidencein the record record. STRs play an important and environmentally sustainable role in the City, and provide significant benefits to the City, its residents, and its visitors, and these benefits are being completely ignored.The Staff Report provides no evidence that any STRs in the City contribute to nuisance- acknowledge that the SAMC already has several existing enforcement mechanisms to mitigate public nuisances. (SAMC, Chapter 17.) In reality, many STRs in the City are either owner-occupied, meaning that the host is on site while guests are present because they live there full-time and have an extra room/rooms, or are entire home STRs which are rented on a short-term basis because the owner travels or is in the City only on a seasonal basis and so cannot rent the property on a long-term basis (e.g., six-month or one- year lease). Further, as discussed in a recent study conducted by the Milken Institute on STRs in 1 A review of the Housing Element reveals that the City does not appear to mention STRs anywhere in that document. (See City of Santa Ana General Plan Housing Element). In the section of the at various factors influencing rehabilitation costs, availability of financing, and recent trends in foreclosures), governmental factors (land use regulations, development standards, building codes, permit procedures, and other local policies), and environmental factors (adequacy of infrastructure, public services, and water 1 Alissa Dubetz, Matt Horton, and Charlotte Kesteven, Staying Power: The Effects of Short-Term Rentals on ,M ILKEN I NSTITUTE(May 2022), https://milkeninstitute.org/sites/default/files/2022-05/Short_Term_Rentals_California.pdf. 10 Santa Ana City Council November 18, 2024 Page 11 supply to support new development). (Id. at A-47). Further, and as discussed in the Milken Institute -long housing shortage is primarily caused by failure to build enough housing due to rising construction costs, lengthy permitting times, and community opposition, which disincentivize construction of affordable housing. (Dubetz, p. 4.) As Professor Betsy Stevenson, the former Chief Economist at the U.S. Department of Labor and member of President rs, has written, banning STRs in fact undermines efforts to Ba Crisis, B LOOMBERG N EWS(July 8, 2024), https://www.bloomberg.com/opinion/articles/2024-07- 08/banning-airbnb-will-not-make-housing-more-affordable residents to rent out their homes can help them recoup some of their investment and make city Ibid.) decision-making. Because the City lacks any justification for adopting the Amended Ordinance, such an action would be arbitrary and capricious. (Strumsky v. San Diego County Employees Retirement Assn., 11 Cal.3d 28, 34 (1974); Avenida San Juan Partnership v. City of San Clemente, 201 Cal.App.4th 1256, 1268 (2011).) 5.The adoption of the Amended Ordinance would illegally impede on right to privacy. Constitution (Hill v. NCAA stay in their homes. (Coalition Advocating Legal Housing Options v. City of Santa Monica, 88 These constitutional privacy protections right to host STRs and invite guests into theirhome. In Coalition Advocating Legal Housing Options,supra, 88 Cal.App.4th at 454, 459, the Court of Appeal invalidated a local ordinance that limited occupants right to decide who may live in ths invite guests intotheirhomes while they would infringe on hostsconstitutional right to privacy,which includes theright to choose who can stay in homes. The City fails to provide any substantial justification to pass the heightened scrutiny applied to laws or regulations that infringe on the right to privacy and cannot do so because STRs have no demonstrable negative impact on the City compared to other residential uses, including long-term rentals. 11 Santa Ana City Council November 18, 2024 Page 12 6.The adoption of the Amended Ordinance would illegally infringetheright to contract. The Ordinance also violates right to contract under the California constitution, which prohibits laws impairing the obligation of contracts. (Cal. Const., Art I, § 9.) , 9 and the court required to evaluate whether Id. (citations omitted); see also Calfarm Ins. Co. v. Deukmejian, 48 Cal. 3d 805, 831 (1989).) Rental Alliance hosts have already agreed to rent their property on a short-term basis to guests in upcoming months. An immediate ban on STRs would invalidate those contractual obligations of STR owners in violation of this constitutional right. 7.The adoption of the Amended Ordinance would deprive hosts of their substantive due process rights. Termination of a lawful nonconforming use effects a deprivation of property without due process of law, and banning the ability of homeowners to rent their home to visitors more broadly violates their substantive due process rights under the California andU.S. constitutions by infringing on (United States v. Craft, 535 U.S. 274, 278 (2002).) 8.The proposed fines violate the United States Constitution. The administrative fines proposed by the Resolution are also so excessive as to raise federal constitutional concerns. The Eighth Amendment to the United States Constitution forbids the City from imposing excessive fines. The United States Supreme Court ha of the constitutional inquiry under the Excessive Fines Clause is the principle of proportionality: the amount of the forfeiture must bear some relationship to the gravity of the offense that it is United States v. Bajakajian, 524 U.S. 321, 334 (1998).)Here the Amended $5,000 for a third violation fail to meet the principle of proportionality. (See, e.g.,Kalthoff v. Douglas Cnty., of these fines \[for violations of short-term rental ordinance\] \[we\]re for several thousands of dollars enforcement of fines on constitutional grounds).) 12 Santa Ana City Council November 18, 2024 Page 13 The City Has Refused To Provide Evidence Surrounding its Treatment of STRs and the Basis for BanningSTRsin Violation of the California Public Records Act In April 2024, a Public Records Act request was filed with the City in an effort to understand what motivated the Citya total ban on STRs.Oversixmonths later, the City has still not produced a response to the PRA.(See PRA 24-715.)The City has responded to over 1,000 PRA requestAs such, the Cityappears to be concealing the true motivations for seeking to ban all STRs in the City. To date, the City has not provided anyevidence to support its claim that STRs in the City have a negative impact on public health, safety,and welfare, if any even exists. We strongly urge theCouncil to refrain from taking any action on the proposed STR prohibition until the City has responded to the Public Records Act request. Proposed Path Forward We urge the City Council to rescind the currentlyeffective andillegallyadopted Ordinance, reject the Amended Ordinance,and direct Staff to work with all stakeholders to develop a new ordinance that authorizes STRs to continue operating subject to reasonable regulations. Specifically, we City recommend establishing an Thistype of regulation strikes the appropriate balance while maintaining the ability of STR owners to operate in the City. While the Rental Alliance is ready and willing to work with the City, for the reasons summarized above, should the City Council move forward with adopting the Amended Ordinancewe will challenge this action in court to protect rights. Sincerely, GAINES & STACEY LLP Alicia B. Bartley By ALICIA B. BARTLEY cc:Jose Montoya (Via Email -jmontoya@santa-ana.org) Amy Hoyt (Via Email -Amy.Hoyt@bbklaw.com) Hannah Park (Via Email -Hannah.Park@bbklaw.com) Attachments Attachment ACAJA Environmental Services, Potential Significant Environmental Effects of Banning Short-Term Rentals in the City of Santa and Requirement Require Additional Environmental Analysis Under CEQA,November 14, 2024. 13 O1- Attachment A Attachment A CAJA Environmental Services, Potential Significant Environmental Effects of Banning Short-Term Rentals in the City of Santa and Requirement Require Additional Environmental Analysis Under CEQA, November 14, 2024. 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 o 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 o o o 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 o 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 9410 Topanga Canyon Blvd., Suite 101 Chatsworth, CA 91311 Phone 310-469-6700Fax 310-806-9801 MEMO To File From Eric C. Lu, Sarah Manzano, and Brent Ferren Subject ENVIRONMENTAL ANALYSIS OF SHORT-TERM RENTAL REGULATION Date: November 14, 2024 Ramboll Americas Engineering Solutions, Inc. (Ramboll) evaluated potential air quality, greenhouse gas (GHG), energy and noise environmental impacts of a potential ban on short-term rentals (STR) in Santa Ana, California. As discussed throughout this memo, Ramboll found that the ban of STRs in Santa Ana has the potential to increase emissions and noise that should be evaluated further. The increase in emissions and noise have the potential to cause a significant impact in relation to California Environmental Quality Act (CEQA). RambollÓs analysis was Ramboll informed by the economic analysis performed by RambollÓs Stefanie OÓGorman 250 Montgomery St., (see Exhibit A). Suite 1200 San Francisco, CA 94104 US USA 1 Overview T+1 510 655 7400 As a result of the proposed STR ban, individuals would be unable to enjoy the F+1 510 655 9517 https://ramboll.com benefits of STRs within Santa Ana, which will increase demand for local hotels as the only option for short term stays within Santa Ana. As a result, individuals will be forced to travel greater distances to other commercials centers in the region to find available STRs and available/affordable hotels, introducing additional vehicle miles traveled (VMT). In particular, increased travel to and from hotels and STRs in the region because of the unavailability of STR in Santa Ana could increase emissions relative to South Coast Air Quality Management District (SCAQMD) thresholds for criteria air pollutants (CAPs), with the potential to cause short-term and long-term health impacts to sensitive receptors, exceedances of appliable air quality standards, and inconsistencies with applicable air quality and climate plans, all of which create a fair argument of environmental impacts that need to be studied further under CEQA. The ban of STRs will also likely result in increased traffic congestion and noise impacts that require further study under 1, 2 CEQA. 1 Airbtics reports approximately 1,000 short-term rentals in Santa Ana, which is referenced throughout this analysis. However, conclusions herein are largely based on comparative impacts to the elimination of short-term rentals and are not dependent on the actual number of short term rentals in Santa Ana today. 2 https://app.airbtics.com/airbnb-data/united-states/CA/santa%20ana 1/14 ÐP 2 Health Impacts from Criteria Pollutants Criteria air pollutants (CAPs) are defined as pollutants for which the federal and state governments have established ambient air quality standards, or criteria, for outdoor concentrations to protect public health. The federal and state standards have been set, with an adequate margin of safety, at levels above which concentrations could be harmful to human health and welfare. These standards are designed to protect the most sensitive people from illness or discomfort. Pollutants of concern include ozone (O), nitrogen oxides (NO), carbon monoxide (CO), sulfur oxides (SO), particulate matter less 3xx than 10 microns in diameter (PM), and particulate matter less than 2.5 microns in diameter (PM). 102.5 The STR ban has the potential to increase emissions of these pollutants and their health impacts are discussed in the following paragraphs. Ozone O is a colorless gas that is formed in the atmosphere when volatile organic compounds (VOCs), 3 sometimes referred to as reactive organic gases (ROG), and oxides of nitrogen (NO) react in the x presence of ultraviolet sunlight. O is not a primary pollutant; it is a secondary pollutant formed by 3 complex interactions of two pollutants directly emitted into the atmosphere. The primary sources of VOCs and NO, the precursors of O, are automobile exhaust and industrial sources. Meteorology and X3 terrain play major roles in O formation, and ideal conditions occur during summer and early autumn on 3 days with low wind speeds or stagnant air, warm temperatures, and cloudless skies. Short-term exposures (lasting for a few hours) to O at levels typically observed in Southern California can result in 3 breathing pattern changes, reduction of breathing capacity, increased susceptibility to infections, inflammation of the lung tissue, and some immunological changes. Nitrogen Oxides Most NO, like O, is not directly emitted into the atmosphere but is formed by an atmospheric chemical 23 reaction between nitric oxide (NO) and atmospheric oxygen. NO and NO are collectively referred to as 2 NO and are major contributors to O formation. The primary sources of NO, the precursor to NO, X32 include automobile exhaust and industrial sources. High concentrations of NO can cause breathing 2 difficulties and result in a brownish-red cast to the atmosphere, causing reduced visibility. There is some indication of a relationship between NO and chronic pulmonary fibrosis, and some increase in bronchitis 2 in children (2 and 3 years old) has also been observed at concentrations below 0.3 parts per million by volume (ppm). Carbon Monoxide Carbon Monoxide (CO) is a colorless and odorless gas formed by the incomplete combustion of fossil fuels. CO is emitted almost exclusively from motor vehicles, power plants, refineries, industrial boilers, ships, aircraft, and trains. In urban areas, such as Santa Ana, automobile exhaust accounts for the majority of CO emissions. CO is a non-reactive air pollutant that dissipates relatively quickly; therefore, ambient CO concentrations generally follow the spatial and temporal distributions of vehicular traffic. CO concentrations are influenced by local meteorological conditions, primarily wind speed, topography, and atmospheric stability. CO from motor vehicle exhaust can become locally concentrated when surface- based temperature inversions are combined with calm atmospheric conditions, a typical situation at dusk in urban areas between November and February. The highest levels of CO typically occur during the colder months of the year when inversion conditions, where a layer of warm air sits atop cool air, 2/14 ÐP are more frequent and can trap pollutants close to the ground. In terms of health, CO competes with oxygen, often replacing it in the blood, thus reducing the bloodÓs ability to transport oxygen to vital organs. The results of excess CO exposure can be dizziness, fatigue, and impairment of central nervous system functions. Sulfur Oxides Sulfur Dioxide (SO) is a colorless, pungent gas formed primarily by the combustion of sulfur-containing 2 fossil fuels. The main sources of SO are coal and oil used in power plants and industries; as such, the 2 highest levels of SO are generally found near large industrial complexes. In recent years, SO 22 concentrations have been reduced by the increasingly stringent controls placed on stationary source emissions of SO and limits placed on the sulfur content of fuels. SO is an irritant gas that attacks the 22 throat and lungs and can cause acute respiratory symptoms and diminished ventilator function in children. SO can also yellow plant leaves and erode iron and steel. 2 Particulate Matter Particulate matter (PM) pollution consists of very small liquid and solid particles floating in the air, which can include smoke, soot, dust, salts, acids, and metals. Particulate matter can form when gases emitted from industries and motor vehicles undergo chemical reactions in the atmosphere. PM and PM 2.510 represent fractions of particulate matter. Fine particulate matter, or PM, is roughly 1/28 the diameter 2.5 of a human hair. PM results from fuel combustion (e.g., motor vehicles, power generation, and 2.5 industrial facilities), residential fireplaces, and woodstoves. In addition, PM can be formed in the 2.5 atmosphere from gases such as sulfur oxides (SO), NO, and VOCs. Inhalable or coarse particulate XX matter, or PM, is about one- seventh the thickness of a human hair. Major sources of PM include 1010 dust stirred up by vehicles traveling on roads; crushing or grinding operations; wood-burning stoves and fireplaces; dust from construction, landfills, and agriculture; wildfires and brush/waste burning; industrial sources; windblown dust from open lands; and atmospheric chemical and photochemical reactions. PM and PM pose a greater health risk than larger-size particles. When inhaled, these tiny particles 2.510 can penetrate the human respiratory systemÓs natural defenses and damage the respiratory tract. PM 2.5 and PM can increase the number and severity of asthma attacks, cause or aggravate bronchitis and 10 other lung diseases, and reduce the bodyÓs ability to fight infections. Very small particles of substances such as lead, sulfates, and nitrates can cause lung damage directly or be absorbed into the bloodstream, causing damage elsewhere in the body. Additionally, these substances can transport absorbed gases, such as chlorides or ammonium, into the lungs, also causing injury. Whereas PM 10 tends to collect in the upper portion of the respiratory system, PM is so tiny that it can penetrate 2.5 deeper into the lungs and damage lung tissues. Suspended particulates also damage and discolor surfaces on which they settle, as well as produce haze and reduce regional visibility. 3 An STR Ban Will Increase Air Pollutant Emissions and Greenhouse Gas Emissions There are approximately 1,000 active Airbnb listings in Santa Ana. Elimination of these Airbnb rentals and other short-term rentals in Santa Ana and the corresponding increase in guests at Santa Ana hotels 3/14 ÐP would result in an increased trip length, as potential guests would have fewer options to stay as close as possible to daily destinations during their stay in Santa Ana. In addition, the number of trips taken by guests to and from their site of accommodation would be higher for hotels than for short-term rentals, as evidenced by Institute of Transportation Engineers (ITE), introducing additional vehicle miles traveled. Recreational Homes (ITE Land Use Code 260) have an average weekday trip generation rate of 3.55 trips per day while the Hotel land use (ITE Land Use 310) has 7.99 trips per day. This increase in trips may be due to the need to leave the hotel for amenities, such as food, and increased worker trips. The increase in mobile emissions associated with short-term rentals compared to hotels is presented below in Table 1. Based on publicly available statistics on the current Airbnb listings in Santa Ana, the 3 average capacity per STR is 5.6 people and there are approximately 1,000 active Airbnb listings. This results in a service population of 5,600 people. As a result of the potential STR ban, this would require 1,867 hotel rooms to accommodate this same service population assuming one hotel room has a capacity of 3 people. The number of peak daily trips was estimated using the ITE trip rates for STRs and hotel rooms and the number of STRs and hotel rooms required to serve the same population. The number of daily miles traveled was estimated assuming a single trip to a hotel is 2 miles longer than a single trip to a STR since guests might have to stay farther from daily destinations if they stay at a hotel. These assumptions were used to determine daily mobile emissions. Mobile emissions from visitors staying at a hotel would generate up to 444 percent more criteria air 4 pollutant emissions and GHGs than from visitors staying at an STR. Therefore, the ban has the potential to considerably increase emissions in the area. The increase in VMT and greenhouse gas emissions is directly inconsistent with regional and state goals to reduce VMT and greenhouse gas emissions from vehicle trips. Additional calculation details can be found in Appendix A. Table 1. Emissions Increase due to Additional VMT Percent Increase in daily mobile Criteria Air Pollutant emissions from STR to hotel to serve the same population VOC 442% NO 443% x CO 443% SO 444% x PM 444% 10 PM 444% 2.5 GHG (COe) 443% 2 3 https://app.airbtics.com/airbnb-data/united-states/CA/santa%20ana 4 This percent increase is independent of the number of short-term rentals in Santa Ana. The number of short-term rentals and population are provided for illustrative purposes only. 4/14 ÐP 4 An STR Ban Will Disproportionally Burden Environmental Justice Communities The proposed STR ban in Santa Ana, CA, raises critical environmental justice concerns, particularly given the CityÓs existing pollution burdens from regional pollution and localized traffic exposure near the existing hotel stock, and the potential for increased hotel usage in response to restrictions on STRs. The existing hotels are predominately located near the I-5 and 55 freeways on the southeastern boundary of the City. This area shows elevated burden according to the California Office of Environmental Health 5 Hazard Assessment (OEHHA) CalEnviroScreen (CalEnviroScreen 4.0) data. CalEnviroScreen was developed as a mapping tool that identifies California communities most impacted by pollution and other environmental risks to identify vulnerability to adverse health effects from those sources. CalEnviroScreen takes into account environmental and socioeconomic factors to develop a percentile of burden across the State of California. Factors include indicators of pollution burden (including ozone, traffic, pesticides, drinking water) and population characteristics (including asthma, cardiovascular disease, education, poverty), which are each scored and weighted to derive a pollution burden score, population characteristic score, and the final CalEnviroScreen score. The Santa Ana tracts that border the I-5 and 55 freeways near the Southeastern boundaries of the city are identified as vulnerable tracts are also the current locations for the greatest density of hotels in Santa Ana. As shown in Figure 1, the CalEnviroScreen tool identifies Santa Ana, and particularly the freeway- th adjacent tracts, as highly burdened, being classified into the 80 percentile and above for the thrd CalEnviroScreen overall percentile, with tracts above the 90 percentile (Tract 6059074406 93 percentile as the maximum). This significant elevation in burden is driven by the pollution and exposure th burden; these freeway-adjacent tracts are ranked in the 90 percentile and above for pollution burden th (Tract 6059074003 99 percentile for pollution burden) and face extreme burden from air pollution th associated with vehicle traffic emissions, and direct traffic exposure (Tract 6059074406 99 percentile for traffic). Conversely, while central Santa Ana tracts still register as overburdened and pollution-impacted, tracts th in the center of the City are comparatively lower burdened and near the 70 percentile for overall burden. Further screening tools, the Council on Environmental QualityÓs Climate and Economic Justice Screening 6 Tool (CEJST), the US EPAÓs Environmental Justice Screening and Mapping Tool (EJScreen, Version 78 2.3), and the Public Health Alliance of Southern CaliforniaÓs California Health Places Index (HPI 3.0), each highlight significant environmental and health concerns for Santa Ana in almost all tracts, with traffic proximity and the associated vehicle traffic-generated air pollution as the driving metrics of those disadvantage and burden ratings. 5 OEHHA. CalEnviroScreen 4.0. May 2023. Available at: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-40. 6 Council on Environmental Quality. Climate and Economic Justice Screening Tool. Available at: https://screeningtool.geoplatform.gov/en/. 7 US EPA. Environmental Justice Screening and Mapping Tool. Available at: https://www.epa.gov/ejscreen. 8 Public Health Alliance of Southern California. Healthy Places Index (HPI) 3.0. 2022. Available at: https://www.healthyplacesindex.org/. 5/14 ÐP Figure 1. OEHHA CalEnviroScreen 4.0, Santa Ana, CA. Overall Percentile of Exposure and Burden. In Figure 2, the EJScreen-measured traffic proximity is expressed as the counts of vehicles per day divided by the distance between the vehicle(s) and tract, providing a percentile rank for total exposure. The data included demonstrates the extreme disparity for these near-freeway Santa Ana tracts, the same tracts in the Northeast and Southeast of Santa Ana where hotels are primarily located, as these tracts already experience among the most extreme traffic exposures in the state and country (Figure 2, the traffic proximity expressed as traffic volume and distance and displayed as state percentile by tract). These already traffic-exposure overburdened tracts risk further concentration of traffic from increased hotel use and potential new hotels (further discussed in Section 7). Therefore, the congestion and traffic density increases may be more impactful to this already overburdened area. 6/14 ÐP Figure 2. US EPA Environmental Justice Screening and Mapping Tool, Santa Ana, CA, environmental burden indicator of traffic proximity. The proposed STR could shift visitor accommodations in STRs from lower-burdened, dispersed residential areas to concentrated hotel zones in southeast Santa Ana, where pollution and traffic emission levels are already elevated. This shift in accommodation location could lead to increase vehicular traffic and hotel-generated emissions in an already-concentrated area facing significant air pollution exposure levels and health risks. Furthermore, the construction of more hotels in this area to meet the demands for visitors due to the STR ban could increase emissions from construction and additional operation to an area with higher burden. The relocation of accommodations could further the known pollution contributors to respiratory and cardiovascular health risks in these already overburdened communities. 5 An STR Ban Would Increase Energy Demands Because Hotels Use More Energy Per Person Than STRs The proposed STR ban could cause visitors who would have otherwise stayed in STRs to stay in hotels, which consume more energy per person than STRs. Using CalEEMod, Ramboll modeled the operational GHG emissions of hotels and STRs for comparison. The single-family home CalEEMod land use type was used a surrogate for STR. Assuming an occupancy rate of 3 people per hotel room and 5.6 people per STR, hotels have much higher associated GHG emissions per person. It was found that hotels consume 7/14 ÐP more electricity and natural gas per person than STRs, as shown in Table 2 and in the CalEEMod output 9 in Appendix B. Table 2. Operational Energy Use per Person Electricity Natural Gas Land Use kWh/yr/person kBTU/yr/person Hotel 6,773 13,974 Short Term Rentals 1,231 6,846 As a result of the increase in energy consumption when staying in a hotel instead of an STR, GHG emissions from energy consumption per person would increase by 179 percent. 6 An STR Ban Will Increase Fossil Fuel Usage In addition, increased VMT would require greater reliance on fossil fuels to power vehicle trips. Even with CaliforniaÓs policies to shift the vehicle fleet towards cleaner cars and trucks, vehicle usage will continue to rely on gasoline for car and truck trips for years to come. The STR ban therefore results in greater reliance on fossil fuels, inconsistent with regional and state climate policy. The estimated fuel use is summarized in Table 3 and utilizes the same assumptions from Table 1. Additional calculation 10 details can be found in Appendix A. Table 3. Daily Mobile Fuel Consumption Gasoline Diesel Land Use Gallons per day Gallons per day Hotels 6,916 197 Short Term Rentals 1,272 36 Percent Increase with Hotel Use 444% 447% 7 An STR Ban Could Concentrate Traffic Resulting in Potential Noise and Health Impacts The potential ban of short-term rentals in Santa Ana could result in concentrated traffic on roadways going to hotels in the area, which could have noise and health impacts to the surrounding land uses. As described above, removing short term rentals as a means for lodging in Santa Ana would result in visitors needing to rely on hotels for their stay. Currently, there are over 20 hotels in the city limits of Santa Ana and over half of them are located in one concentrated area in the southeastern part of the City along Highway 55. It can be assumed that if more people will need stay in hotels instead of STRs, then the traffic to this part of town would increase significantly as it is likely all of this traffic would be concentrated to the roadways surrounding the hotel zone area. In comparison, traffic caused from 9 The CalEEMod analysis is based on 134 dwelling units, which is the amount of STRs that would accommodate the same number of people as a 250 room hotel. However, the energy use per person and percent increase in GHG emission is independent of the absolute number of short-term rentals in Santa Ana. 10 The fuel usage is based on 1,000 STRs in Santa Ana. However, the percent increase is independent of the number of short-term rentals in Santa Ana. 8/14 ÐP visitors traveling to and from various STRs located throughout the City would result in more diversified traffic patterns as all visitors are not driving to one area. Furthermore, a potential new hotel constructed to meet the demand as a result of the STRs ban would likely be constructed in the area of Santa Ana with the majority of hotels, further concentrating traffic in this area. Health Risk Impacts from Traffic Ramboll performed a preliminary analysis that quantified the health risks from traffic emissions in order to assess the impact that increased hotel use in Santa Ana due to a ban on STRs could cause. A typical roadway with approximately 30,000 average annual daily trips (AADT) results in an excess cancer risk 11,12,13 of 40 in a million at a nearby residential receptor. According to ITE, hotels generate 7.99 trips per 14 day per hotel room. There are currently approximately 1,000 Airbnbs in Santa Ana, with other STRs 15 also available. Assuming this ban contributes to 950 more hotel rooms being used, traffic would increase by 7,560 vehicles per day, which results in health impacts that would exceed 10 in a million, which is the SCAQMD CEQA threshold of significance for cancer risk. This scaling approach also does not take into account increased truck traffic associated with deliveries to a hotel that would not occur to an STR. Therefore, banning STRs in Santa Ana could result in an increase in traffic on certain roadways that could be considered significant. If additional truck trips were taken into account, the number of hotel rooms that could cause an exceedance of the threshold of significance for cancer risk could be lower than 950 hotel rooms. It could be assumed that similar trends to cancer risk based on near-roadway traffic exposure would be true for particulate matter and toxic air contaminant emissions. Noise Impacts from Traffic Ramboll evaluated whether a potential traffic volume increase could cause a traffic noise increase that is considered either substantial (per CEQA guidelines) or increases the ambient conditions to a level above the Santa Ana General Plan Noise Element standard (65 dBA CNEL). Traffic noise analyses require specific knowledge of existing and future traffic volumes and vehicle mixes as well as project-related traffic volumes and mixes. In this case, this information is currently unknown. However, the following figure shows the current (2022) exterior levels of noise created by cars, trucks, or trains traveling along roadways and rail lines in the City. The CityÓs noise and land use compatibility standards (see Table N-1) consider exterior levels above 65 dBA (CNEL) to be generally incompatible for residential and other noise-sensitive land uses. If residential or other noise-sensitive areas within the City that are currently below the 65 dBA CNEL level experienced traffic volume increases, specifically due to an increased hotel demand resulting from 11 Health impacts obtained from highway 152 from the Bay Area Air Quality Management District (BAAQMD) Mobile Source Screening tool at a distance of 100 feet from the roadway. This was used as a surrogate to estimate general health risks from only traffic. The traffic volume along this road was obtained from CalTrans. 12 Bay Area Air Quality Management District (BAAQMD). 2022. CEQA Roadway Screening Tool - Cancer Risk. Available at: https://data.bayareametro.gov/Environment/CEQA-Roadway-Screening-Tool-Cancer-Risk/kz4a-ueki 13 CalTrans, Traffic Census Program. Available at: https://dot.ca.gov/programs/traffic-operations/census. 14 ITE. Trip Generation Manual 11th Edition. 15 https://app.airbtics.com/airbnb-data/united-states/CA/santa%20ana?payment-plan=pro&payment- duration=yearly 9/14 ÐP the proposed STR ban, and the traffic volume increase caused the CNEL level to now exceed 65 dBA, the STR ban could be considered to have caused a significant impact. The magnitude of a traffic noise increase is dependent on several factors including the traffic volume increase, the vehicle mix, and the local site conditions. Based on standard methodologies prescribed by the Federal Highway Administration (FHWA) and considering a vehicle mix typical of suburban/urban areas, traffic volume increases would be expected to result in the following traffic noise increases. Project-specific detailed analysis, including a traffic analysis, would be required to further evaluate. Nonetheless, the volume increases listed below suggest the traffic increases likely necessary to increase the existing traffic noise conditions would need to be significant.As shown in the Figure below, the existing hotel stock is in the area near Highway 55 that is either already above the noise standard of 65 dBA or near the standard. Therefore, adding additional traffic to this area due to the shiftto hotels as a result of the STR ban or the addition of new hotels to the area has the potential to exacerbate the existing noise impacts or create a new noise impact. Therefore, this should be studied in more detail. Figure 3.Contours from the Noise Element. Source: Noise Element, Santa Ana General Plan, Final, April 2022. 10/14 ÐP Table 4. Noise Impact from Traffic Increase Traffic Volume Increase Potential Traffic Noise Increase ЋЎі Њ ķ. ЎЉі Ћ ķ. ЊЉЉі Ќ ķ. 8 Elimination of Short-Term Rentals Could Cause the Construction of New Hotels to Meet Demand; the Construction of New Hotels Would Result in Numerous Environmental Impacts That Require Studying As detailed in the Ramboll memorandum ÐECONOMICS ANALYSIS OF SHORT-TERM RENTAL REGULATIONÑ, the prohibition of STRs, including those currently operating within the City, could compel tourists to seek alternative accommodations, increasing demand for hotels and potentially leading to the development of additional hotels as a reasonably foreseeable consequence of the STR ban. The construction of hotels has impacts on the environment that have not been studied. In particular, construction of hotels has potential noise and air quality impacts as discussed below. Potential Hotel Construction Air Quality and Health Impacts Resulting from STR Ban Ramboll performed a screening health risk assessment to determine the potential cancer risk resulting from construction activity of a hypothetical new hotel. The emissions associated with the construction of these hotels encompass on-site, off-road heavy equipment, off-site, on-road vehicle travel, architectural coating, paving, and fugitive dust. Ramboll utilized CalEEMod to estimate construction emissions from a 250-room hotel as shown in Appendix B, which is an average mid-size hotel. Ramboll used an existing hotel project site to model emissions in AERMOD as a surrogate for the space of hotel construction. Concentrations resulting from diesel particulate matter (DPM) emissions from off- road construction equipment in CalEEMod were modeled on receptors in a grid of 20 meters. The health 16 risk assessment used default exposure assumptions for residents as outlined by OEHHA. As indicated in Table 5, the construction of a hotel without emissions mitigation results in an excess cancer risk of 48 in a million for the maximum exposed individual (MEI), which exceeds the SCAQMDÓs threshold of 10 in a million. Cancer risks continue to exceed the threshold until a distance of 450 feet from the construction area. Table 5. Cancer Risk from Hotel Construction Source Cancer Risk (in a million) Construction of a 250 room Hotel 48 SCAQMD Threshold of Significance 10 Potential Hotel Construction Noise Impacts Resulting from STR Ban Construction of structures generates noise, which is regulated by the City of Santa Ana. 16 OEHHA. 2015. Air Toxics Hot Spots Program. Risk Assessment Guidelines. Guidance Manual for Preparation of Health Risk Assessments. February. 11/14 ÐP City of Santa Ana Noise Element California Government Code encourages each local government entity to implement a noise element as part of its general plan. In addition, the California GovernorÓs Office of Planning and Research has developed guidelines for preparing noise elements, which include recommendations for evaluating the compatibility of various land uses as a function of community noise exposure. The City of Santa Ana 17 has established a Noise Element as part of the Santa Ana General Plan. The Noise Element works to ensure that the City limits the exposure of the community to excessive noise levels in noise-sensitive areas and at noise-sensitive times of day. Specifically, the City has established standards for noise levels (Community Noise Equivalent Level\[CNEL\],dBA) for land uses as displayed in Table N-1. Additionally, all residential uses should be protected with sound insulation over and above that provided by normal building construction when constructed in areas exposed to greater than 60 dBA CNEL. Sound levels resulting from a project that exceed the standards listed in Table N-1 or that cause the existing conditions to increase above these standards would typically be considered to be impacting the surrounding community. Figure 4. Noise Standards from the Noise Element. Source: Noise Element, Santa Ana General Plan, Final, April 2022. City of Santa Ana Noise Ordinance The City of Santa Ana regulates noise emissions via the Santa Ana Municipal Code, specifically Chapter 18 18, Article 6 (Noise Control).The noise ordinance establishes that it isunlawful for any person at any location within the City of Santa Ana to create any noise, or to allow the creation of any noise on property owned, leased, occupied, or otherwise controlled by such person, which creates a soundlevel 17 https://www.santa-ana.org/documents/april-2022-general-plan-noise-element/ 18 https://library.municode.com/ca/santa_ana/codes/code_of_ordinances?nodeId=PTIITHCO_CH18HESA_ARTVINOC O 12/14 ÐP at aresidential propertythat exceeds the following exterior noise standards. The noise levels are based on a cumulative period of more than 30 minutes in any hour. Table 6. Santa Ana Noise Ordinance Source: Santa Ana Municipal Code, §18-312. Noise emissions from one property that propagate onto an adjacent or nearby residential property and exceed these limits are deemed to be noncompliant with the Santa Ana Municipal Code. Noise emissions related to construction activities are exempt from thelimits, provided the construction activitiesdo not occurplace between 8:00 p.m. and 7:00 a.m. on weekdays, including Saturday, or at any time on Sunday or a federal holiday. Analysis of New Hotel Construction The effect of construction noise impacts on nearby noise-sensitiveneighbors is dependent on the location and nature of the construction activities. Depending on the construction activities and neighboring land uses, there is a potential for possible significance threshold exceedances related to the resulting construction activities, particularly in relation to residential communities. While noise from construction activities is exempt from the Santa Ana Municipal Code during daytime hours, noise from construction activities occurring during the nighttime hours (as detailed in the previous section) must comply with the established limits. Additionally, the potential for substantial temporary increases to the existing ambient conditions could be considered relative to CEQA guidelines. Construction typically involves the use of heavy machinery that can be a significant source of noise and, while often temporary, can result in significant impacts. Construction equipment commonly includes air compressors, backhoes, concrete trucks, cranes,dump trucks, excavators, graders, pavers, tractors/dozers, vibratory rollers, portable generators, and water trucks. Depending on the phase of construction, project construction typically involves a combination of these types of off-road and portable construction equipment. Assuming a typical construction plan, common types of construction equipment, and typical construction equipment sound levels published by resources such as the U.S. Federal Highway Administration, the Federal Transit Administration, and manufacturers, potential overall sound levels can be estimated. Accordingly, construction sound levels could range from approximately 75 to 90 dBA assuming typical receptor distances of 500 ft to 50 ft. Construction activities also may need to occur at night due to various limitations. Examples include concrete pours that need to occur when other construction is not happening or would impede traffic, accelerated construction needs to meet hotel demand that may come with the Olympics in 2028, roadway construction work that needs to occur at nighttime. The table below outlines general construction phasing and equipment assumptions employed to estimate approximate sound pressure levels (SPL) for common construction phasesfor a hotel use as 19 generated in CalEEMod.It is anticipated that these sound pressure levels are above typical 19 California Air Pollution Control Officers Association (CAPCOA). California Emissions Estimator Model (CalEEMod®), Version 2022.1. Available online at https://www.caleemod.com/ . 13/14 ÐP suburban/urban ambient sound levels and therefore could cause a temporary increase above the threshold discussed above. For reference, typical suburban/urban background sound levels are 20 commonly on the order of 45 to 55 dBA during daytime hours and lower during nighttime hours. Because sound pressure levels from construction of a new hotel, which was needed due to a STR ban, have the potential to cause a temporary increase above the noise level threshold, more analysis is needed to evaluate specific impacts and potential mitigation. While construction may be exempt from the noise ordinance during daytime hours, the table below shows that the construction could have a significant noise impact on the community. Furthermore, if any nighttime construction activity is needed for the hotel, the noise levels below show that threshold for nighttime work in the noise ordinance would be exceeded. Table 7. Noise Impacts from Construction Activity Avg. Equip Equip Total Total Total Usage Lmax Acoustical Construction Size, SPL @ SPL @ SPL @ SPL @ Equipment Type Qty Hours SPL @ Use Phase Hp 50 ft 50 ft 50 ft 500 ft per 50 ft Factor dBA dBA dBA dBA Day dBA wǒĬĬĻƩ źƩĻķ 5ƚǩĻƩƭ Ќ Б ЌЏА БЎ ЍЉі БЊ БЏ {źƷĻ 89 79 ƩğĭƷƚƩƭΉ\[ƚğķĻƩƭΉ.ğĭ tƩĻƦğƩğƷźƚƓ Ѝ Б БЍ БЍ ЍЉі БЉ БЏ ƉŷƚĻƭ 9ǣĭğǝğƷƚƩƭ Ћ Б ЌЏ БЎ ЍЉі БЊ БЍ DƩğķĻƩƭ Њ Б ЊЍБ БЎ ЍЉі БЊ БЊ wǒĬĬĻƩ źƩĻķ 5ƚǩĻƩƭ Њ Б ЌЏА БЎ ЍЉі БЊ БЊ DƩğķźƓŭ 90 80 {ĭƩğƦĻƩƭ Ћ Б ЍЋЌ БЎ ЍЉі БЊ БЍ ƩğĭƷƚƩƭΉ\[ƚğķĻƩƭΉ.ğĭ Ћ Б БЍ БЍ ЍЉі БЉ БЌ ƉŷƚĻƭ /ƩğƓĻƭ Њ А ЌЏА БЌ ЊЏі АЎ АЎ CƚƩƉƌźŅƷƭ Ќ Б БЋ АЎ ЍЉі АЊ АЏ .ǒźƌķźƓŭ DĻƓĻƩğƷƚƩ {ĻƷƭ Њ Б ЊЍ БЋ ЎЉі АВ АВ 87 77 /ƚƓƭƷƩǒĭƷźƚƓ ƩğĭƷƚƩƭΉ\[ƚğķĻƩƭΉ.ğĭ Ќ А БЍ БЍ ЍЉі БЉ БЎ ƉŷƚĻƭ ĻƌķĻƩƭ Њ Б ЍЏ АЍ ЍЉі АЉ АЉ tğǝĻƩƭ Ћ Б БЊ БЎ ЎЉі БЋ БЎ tğǝźƓŭ tğǝźƓŭ 9ƨǒźƦƒĻƓƷ Ћ Џ БВ БЎ ЎЉі БЋ БЎ 89 79 wƚƌƌĻƩƭ Ћ Џ ЌЏ БЎ ЋЉі АБ БЊ 20 U.S. Environmental Protection Agency, Community Noise, December 31, 1971. 14/14 APPENDIX Confidential e 2 CO 443% 2.5 6 PM 10 PM x SO CO x Hotel to serve the same Population NO 443%443%444%444%444% sions-inventory/msei-modeling-tools Percent Increase of Operational Emissions from STR to VOC 442% r STR (Airbtics). In order to compare STR and Hotel VMT on an travel two additional miles to get to their Hotel compared to a umes on average one hotel room has a capacity of 3 people. STR - short term rentalVOC - volatile organic compounds VMT - vehicle miles traveled equivalents. Emissions were determined using EMFAC2021 emission p and gram per mile emission factors for each pollutant. 5 VMT Peak Daily (miles/day) 4 Trips ) (one-way trips/day) Peak Daily 2 3 Trips Rate (trips/day) 2 Trip (miles) Distance 1 - particulate matter less than 2.5 microns in diameter - particulate matter less than 10 microns in diameter - nitrogen oxide compounds (NO + NO 5,6008.87.9914,915131,086 - sulfur oxide compounds x x 2.510 Capacity Population NOPMPMSO Unit Hotel Rooms Quantity 1 5.61,000STRs5,6006.83.553,55024,101 Rate Population (per STR or hotel room) Ļ Ώ ĭğƩĬƚƓ ķźƚǣźķĻ ĻƨǒźǝğƌĻƓƷƭ Hotel3.01,867 Rental Ћ Land Use There are approximately 1,000 active short-term rentals within the City of Santa Ana and the average capacity is 5.6 people pe Trip distances assume CalEEMod default trip length assumptions in Santa Ana. For this comparison, it is assumed visitors must Daily trip rate for Recreational Homes (ITE Land Use 260) and Hotel (ITE Land Use 310). The number of peak daily trips were determined by multiplying the trip rate by the number of STRs or number of hotel rooms. The number of peak daily vehicle miles traveled (VMT) were determined by multiplying the daily trips by the trip length. The percent increase from short term rentals compared to hotels were calcuated for criteria air pollutants and carbon dioxide Short Term Appendix Table A1: VMT and Mobile Emissions Comparison of Short Term Rentals and Hotels 1 equivalent per capita basis, the number of hotel rooms required to accommodate the total STR capacity is 1,867 hotels. This ass 2 short term rental.3456 factors for Orange County in 2027. The variation in the percent increase between pollutants is due to the ratio of gram per triAbbreviations:CalEEMod - California Emissions Estimator ModelCO - carbon monoxideCOITE - Institute of Transportation EngineersReferences:https://app.airbtics.com/airbnb-data/united-states/CA/santa%20anaITE. Trip Generation Manual 11th Edition.California Air Resources Board (ARB) 2021. EMFAC2021. Available at: https://ww2.arb.ca.gov/our-work/programs/mobile-source-emis Appendix Table A2: VMT and Fuel Consumption Comparison of Short Term Rentals and Hotels 2 Fuel Consuption 1,2 Fuel Percent of Fleet (gallons per mile) 0.055 Gasoline95% Diesel5% 0.031 3 Gasoline Consumption Diesel Consumption Peak Daily VMT Land Use 44 (miles/day)(gal)(gal) Short Term Rental24,1011,27236 Hotel131,0866,916197 1 Gasoline includes gasoline fueled vehicles and plug-in hybrids. Natural gas is excluded from this analysis due to the negligible VMT from natural gas vehicles. 2 The fleet mix and fuel consumption per mile is determined using EMFAC2021 for Santa Ana in 2027. The fuel consumption rate is weighted based on fleet type. 3 The number of peak daily VMT were determined in Appendix Table A1. 4 Gasoline and diesel consumption are calculated by multiplying the VMT by the fuel-specific percentage and then by the weighted fuel consumption factor (gal/VMT) derived from EMFAC output. Abbreviations: STR - short term rental VMT - vehicle miles traveled gal - gallon References: California Air Resources Board (ARB) 2021. EMFAC2021. Available at: https://ww2.arb.ca.gov/our- work/programs/mobile-source-emissions-inventory/msei-modeling-tools APPENDIX Confidential HotelDetailedReport,11/13/2024 1 /45 HotelDetailedReport 1.1.BasicProjectInformation1.2.LandUseTypes1.3.User-SelectedEmissionReductionMeasuresbyEmissionsSector2.1.ConstructionEmissionsComparedAgainstThresholds2.2.ConstructionEmissionsbyYear,Unmitigated2.4. OperationsEmissionsComparedAgainstThresholds2.5.OperationsEmissionsbySector,Unmitigated3.1.SitePreparation(2026)-Unmitigated3.3.Grading(2026)-Unmitigated3.5.BuildingConstruction(2026)-Unmitigated3.7. BuildingConstruction(2027)-Unmitigated3.9.Paving(2027)-Unmitigated TableofContents 1.BasicProjectInformation2.EmissionsSummary3.ConstructionEmissionsDetails HotelDetailedReport,11/13/2024 2 /45 4.1.1.Unmitigated4.2.1.ElectricityEmissionsByLandUse-Unmitigated4.2.3.NaturalGasEmissionsByLandUse-Unmitigated4.3.1.Unmitigated4.4.1.Unmitigated4.5.1.Unmitigated4.6.1.Unmitigated4.7.1.Unmitigated 3.11.ArchitecturalCoating(2027)-Unmitigated4.1.MobileEmissionsbyLandUse4.2.Energy4.3.AreaEmissionsbySource4.4.WaterEmissionsbyLandUse4.5.WasteEmissionsbyLandUse4.6.RefrigerantEmissionsbyLandUse4.7.Of froadEmissionsByEquipmentType4.8.StationaryEmissionsByEquipmentType 4.OperationsEmissionsDetails HotelDetailedReport,11/13/2024 3 /45 4.8.1.Unmitigated4.9.1.Unmitigated4.10.1.SoilCarbonAccumulationByVegetationType-Unmitigated4.10.2.AboveandBelowgroundCarbonAccumulationbyLandUseType-Unmitigated4.10.3.AvoidedandSequesteredEmissionsby Species-Unmitigated5.2.1.Unmitigated5.3.1.Unmitigated5.4.1.ConstructionVehicleControlStrategies5.6.1.ConstructionEarthmovingActivities 4.9.UserDefinedEmissionsByEquipmentType4.10.SoilCarbonAccumulationByVegetationType5.1.ConstructionSchedule5.2.Off-RoadEquipment5.3.ConstructionVehicles5.4.Vehicles5.5.ArchitecturalCoatings5.6.DustMit igation 5.ActivityData HotelDetailedReport,11/13/2024 4 /45 5.10.1.1.Unmitigated 5.6.2.ConstructionEarthmovingControlStrategies5.9.1.Unmitigated5.10.1.Hearths5.10.2.ArchitecturalCoatings5.10.3.LandscapeEquipment5.11.1.Unmitigated5.12.1.Unmitigated5.13.1.Unmitigated5.14.1.Unmitiga ted 5.7.ConstructionPaving5.8.ConstructionElectricityConsumptionandEmissionsFactors5.9.OperationalMobileSources5.10.OperationalAreaSources5.11.OperationalEnergyConsumption5.12.OperationalWaterandWastewat erConsumption5.13.OperationalWasteGeneration5.14.OperationalRefrigerationandAirConditioningEquipment HotelDetailedReport,11/13/2024 5 /45 5.18.1.1.Unmitigated5.18.1.1.Unmitigated5.18.2.1.Unmitigated 5.15.1.Unmitigated5.16.1.EmergencyGeneratorsandFirePumps5.16.2.ProcessBoilers5.18.1.LandUseChange5.18.1.BiomassCoverType5.18.2.Sequestration 5.15.OperationalOff-RoadEquipment5.16.StationarySources5.17.UserDefined5.18.Vegetation6.1.ClimateRiskSummary6.2.InitialClimateRiskScores6.3.AdjustedClimateRiskScores6.4.ClimateRiskReductionMeasures 6.ClimateRiskDetailedReport HotelDetailedReport,11/13/2024 6 /45 7.1.CalEnviroScreen4.0Scores7.2.HealthyPlacesIndexScores7.3.OverallHealth&EquityScores7.4.Health&EquityMeasures7.5.EvaluationScorecard7.6.Health&EquityCustomMeasures 7.HealthandEquityDetails8.UserChangestoDefaultData Description Population HotelDetailedReport,11/13/2024 SpecialLandscapeArea(sqft) LandscapeArea(sqft) ValueHotel1/1/20262027ÏProject/site2.5018.6SantaAna,CA,USAOrangeSantaAnaSouthCoastAQMDSouthCoast59907SouthernCaliforniaEdisonSouthernCaliforniaGas2022.1.1.29 7 /45 BuildingArea(sqft) LotAcreage Unit Size DataFieldProjectNameConstructionStartDateOperationalYearLeadAgencyLandUseScaleAnalysisLevelforDefaultsCountyWindspeed(m/s)Precipitation(days)LocationCountyCityAirDistrictAirBasinTAZEDFZElectricUtilit yGasUtilityAppVersionLandUseSubtypeHotel250Room2.30363,0000.00ÏÏÏ 1.BasicProjectInformation 1.1.BasicProjectInformation1.2.LandUseTypes CO2eCO2e RR N2ON2O CH4CH4 HotelDetailedReport,11/13/2024 CO2TCO2T NBCO2NBCO2 BCO2BCO2 PM2.5TPM2.5T PM2.5DPM2.5D 8 /45 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx 250Space2.30100,0000.00ÏÏÏ ROGROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOG EnclosedParkingwithElevatorUn/Mit.Daily,Summer(Max)Unmit.17117112.924.40.040.403.193.590.370.781.14Ï7,3107,3100.250.4515.07,464Daily,Winter(Max)Unmit.14.74.8016889.60.812.6950.353.02.5918.621.2Ï118,0 90118,0908.7317.95.92123,638AverageDaily(Max)Unmit.9.899.7813.818.10.050.373.884.240.341.261.60Ï7,8607,8600.400.766.638,104Annual(Max)Unmit.1.801.792.523.300.010.070.710.770.060.230.29Ï1,3011,3010.07 0.131.101,342Year 1.3.User-SelectedEmissionReductionMeasuresbyEmissionsSector Nomeasuresselected 2.EmissionsSummary 2.1.ConstructionEmissionsComparedAgainstThresholds CriteriaPollutants(lb/dayfordaily,ton/yrforannual) andGHGs(lb/dayfordaily,MT/yrforannual)2.2.ConstructionEmissionsbyYear,Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) ÏCO2e ÏR ÏN2O ÏCH4 HotelDetailedReport,11/13/2024 ÏCO2T ÏNBCO2 ÏBCO2 ÏPM2.5T ÏPM2.5D 9 /45 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx ÏROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily-Summer(Max)20262.141.7812.924.40.040.403.193.590.370.781.14Ï7,3107,3100.250.4515.07,464202717117112.323.70.040.353.193.540.330.781.10Ï7,2237,2230.240.4313.57,371Daily-Winter(Max)202614.74.80168 89.60.812.6950.353.02.5918.621.2Ï118,090118,0908.7317.95.92123,63820272.061.6312.422.40.040.353.193.540.330.781.10Ï7,1047,1040.240.430.357,239AverageDaily20261.861.3413.818.10.050.373.884.240.341.261 .60Ï7,8607,8600.400.766.638,10420279.899.783.115.630.010.090.730.820.080.180.26Ï1,6711,6710.060.101.321,702AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ20260.340.252.523.300.010.070.710.770.060.230.29Ï1,3011,3010.070.131 .101,34220271.801.790.571.03<0.0050.020.130.150.020.030.05Ï2772770.010.020.22282Un/Mit.Daily,Summer(Max)Unmit.12.612.22.9822.50.020.250.000.250.240.000.2485.98,6518,7379.420.105679,568Daily,Winter(Ma x)Unmit.9.028.872.822.360.020.210.000.210.210.000.2185.98,5688,6549.410.105679,485AverageDaily(Max) 2.4.OperationsEmissionsComparedAgainstThresholds CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 10 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Unmit.11.511.12.9316.20.020.240.000.240.230.000.2385.98,6258,7119.420.105679,542Annual(Max)Unmit.2.092.030.532.95<0.0050.040.000.040.040.000.0414.21,4281,4421.560.0293.91,580SectorDaily,Summer(Max)Mo bile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area12.312.00.1720.1<0.0050.04Ï0.040.03Ï0.03Ï82.882.8<0.005<0.005Ï83.1Energy0.310.152.822.360.020.21Ï0.210.21Ï0.21Ï8,5278,5270 .790.07Ï8,566WaterÏÏÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3WasteÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567Total12.612.22.9822.50.020.250.000.250.240.000.2485.98,6518,7379.420.105679, 568Daily,Winter(Max)Mobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area8.718.71ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏEnergy0.310.152.822.360.020.21Ï0.210.21Ï0.21Ï8,5278,5270.790.07Ï8,566WaterÏÏ ÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3WasteÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567Total9.028.872.822.360.020.210.000.210.210.000.2185.98,5688,6549.410.105679,485AverageDaily 2.5.OperationsEmissionsbySector,Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 11 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Mobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area11.211.00.1213.8<0.0050.02Ï0.020.02Ï0.02Ï56.756.7<0.005<0.005Ï56.9Energy0.310.152.822.360.020.21Ï0.210.21Ï0.21Ï8,5278,52 70.790.07Ï8,566WaterÏÏÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3WasteÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567Total11.511.12.9316.20.020.240.000.240.230.000.2385.98,6258,7119.420.10567 9,542AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏMobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area2.042.000.022.52<0.005<0.005Ï<0.005<0.005Ï<0.005Ï9.399.39<0.005<0.005Ï9.42Energy0.060.030.5 10.43<0.0050.04Ï0.040.04Ï0.04Ï1,4121,4120.130.01Ï1,418WaterÏÏÏÏÏÏÏÏÏÏÏ2.016.788.790.21<0.005Ï15.4WasteÏÏÏÏÏÏÏÏÏÏÏ12.20.0012.21.220.00Ï42.7Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ93.993.9Total2.092.030.532.95<0.0050.0 40.000.040.040.000.0414.21,4281,4421.560.0293.91,580LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Daily,Winter(Max) 3.ConstructionEmissionsDetails 3.1.SitePreparation(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) 5,316 Ï 0.04 0.21 HotelDetailedReport,11/13/2024 5,298 5,298 Ï 1.14 Ï 12 /45 1.14 1.24 Ï 1.24 0.05 28.8 29.2 3.14 3.74ÏÏÏÏÏÏ20.320.3Ï10.210.2ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.100.090.800.79<0.0050.03Ï0.030.03Ï0.03Ï1451450.01<0.005Ï146ÏÏÏÏÏÏ0.560.56Ï0. 280.28ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.020.020.150.14<0.0050.01Ï0.010.01Ï0.01Ï24.024.0<0.005<0.005Ï24.1ÏÏÏÏÏÏ0.100.10Ï0.050.05ÏÏÏÏÏÏÏ0.000.000.000.000.000 .000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Off-RoadEquipmDustFromMaterialMovementOnsitetruckAverageDailyOff-RoadEquipmentDustFromMaterialMovementOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentDustFromMaterialMovementOnsitetruckOffsiteDai ly,Summer(Max) ÏCO2e ÏR ÏN2O ÏCH4 HotelDetailedReport,11/13/2024 ÏCO2T ÏNBCO2 ÏBCO2 ÏPM2.5T ÏPM2.5D 13 /45 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx ÏROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.961.6515.017.40.030.65Ï0.650.59Ï0.59Ï2,9602,9600.120.02Ï2,970 Daily,Winter(Max)Worker0.060.060.060.800.000.000.230.230.000.050.05Ï217217<0.0050.010.02219Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling10.91.5913960.00.761.4529. 731.21.458.349.78Ï112,575112,5758.5117.85.90118,102AverageDailyWorker<0.005<0.005<0.0050.020.000.000.010.010.00<0.005<0.005Ï6.026.02<0.005<0.0050.016.10Vendor0.000.000.000.000.000.000.000.000.000.000 .00Ï0.000.000.000.000.000.00Hauling0.300.043.851.630.020.040.810.850.040.230.27Ï3,0843,0840.230.492.693,238AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.005<0.0050.000.00<0.005<0.0050.00<0.005<0.005Ï1 .001.00<0.005<0.005<0.0051.01Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.050.010.700.30<0.0050.010.150.150.010.040.05Ï5115110.040.080.45536LocationOnsiteÏÏÏÏÏÏ ÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Daily,Winter(Max)Off-RoadEquipment 3.3.Grading(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) Ï Ï Ï Ï HotelDetailedReport,11/13/2024 Ï Ï Ï 3.42 3.42 14 /45 Ï 7.08 7.08 Ï Ï Ï Ï Ï Ï0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.160.141.231.43<0.0050.05Ï0.050.05Ï0.05Ï2432430.01<0.005Ï244ÏÏÏÏÏÏ0.580.58Ï0.280.28ÏÏÏÏÏÏÏ0.000.000.000.000.00 0.000.000.000.000.000.00Ï0.000.000.000.000.000.000.030.020.220.26<0.0050.01Ï0.010.01Ï0.01Ï40.340.3<0.005<0.005Ï40.4ÏÏÏÏÏÏ0.110.11Ï0.050.05ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000 .000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ DustFromMaterialMovementOnsitetruckAverageDailyOff-RoadEquipmentDustFromMaterialMovementOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentDustFromMaterialMovementOnsitetruckOffsiteDaily,Summer(Max) Daily,Winter(Max)Worker0.050.050.050.680.000.000.200.200.000.050.05Ï186186<0.0050.010.02188 CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 15 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.281.079.8513.00.020.38Ï0.380.35Ï0.35Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.281.079. 8513.00.020.38Ï0.380.35Ï0.35Ï2,3972,3970.100.02Ï2,405 Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker<0.005<0.005<0.0050.060.000.00 0.020.020.00<0.005<0.005Ï15.515.5<0.005<0.0050.0215.7Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.0 00.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.010.000.00<0.005<0.0050.00<0.005<0.005Ï2.562.56<0.005<0.005<0.0052.60Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipmentOnsitetruckDaily,Winter(Max)Off-RoadEquipment 3.5.BuildingConstruction(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) HotelDetailedReport,11/13/2024 16 /45 0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.770.655.967.840.010.23Ï0.230.21Ï0.21Ï1,4501,4500.060.01Ï1,4550.000.000.000.000.000.000.000.000.000.000.00Ï0.00 0.000.000.000.000.000.140.121.091.43<0.0050.04Ï0.040.04Ï0.04Ï2402400.01<0.005Ï2410.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ OnsitetruckAverageDailyOff-RoadEquipmentOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentOnsitetruckOffsiteDaily,Summer(Max)Worker0.670.660.5910.20.000.002.542.540.000.600.60Ï2,5322,5320.030.098.8 02,569Vendor0.190.052.421.210.020.020.650.670.020.180.20Ï2,3802,3800.120.346.152,489Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.670.660.688.84 0.000.002.542.540.000.600.60Ï2,4102,4100.030.090.232,438Vendor0.180.052.521.240.020.020.650.670.020.180.20Ï2,3812,3810.120.340.162,485Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000 .000.000.00AverageDailyWorker0.400.390.415.560.000.001.521.520.000.360.36Ï1,4771,4770.020.062.301,497Vendor0.110.031.540.740.010.010.390.400.010.110.12Ï1,4401,4400.070.201.611,503 CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 17 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.231.039.3912.90.020.34Ï0.340.31Ï0.31Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.231.039.3912.90.020.34Ï0.3 40.31Ï0.31Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.270.222.042.810.010.07Ï0.070.07Ï0.07Ï5215210.02<0.005Ï522 Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker0.070.070.071.010.000.000.280.280.000.060.06Ï245245<0.0050.010.38248Vendor0.020.010.280.14<0. 005<0.0050.070.07<0.0050.020.02Ï2382380.010.030.27249Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipmentOnsi tetruckDaily,Winter(Max)Off-RoadEquipmentOnsitetruckAverageDailyOff-RoadEquipment 3.7.BuildingConstruction(2027)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) HotelDetailedReport,11/13/2024 18 /45 0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.050.040.370.51<0.0050.01Ï0.010.01Ï0.01Ï86.286.2<0.005<0.005Ï86.50.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.0 00.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ OnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentOnsitetruckOffsiteDaily,Summer(Max)Worker0.650.560.589.620.000.002.542.540.000.600.60Ï2,4902,4900.030.097.892,526Vendor0.180.052.331.160.020.020.65 0.670.020.180.20Ï2,3362,3360.120.325.592,440Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.650.550.608.270.000.002.542.540.000.600.60Ï2,3692,3690 .030.090.212,398Vendor0.180.052.431.180.020.020.650.670.020.180.20Ï2,3372,3370.120.320.142,435Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker0.140.120.1 51.870.000.000.550.550.000.130.13Ï5225220.010.020.74529Vendor0.040.010.530.25<0.005<0.0050.140.14<0.0050.040.04Ï5085080.030.070.52529Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000. 000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker0.030.020.030.340.000.000.100.100.000.020.02Ï86.486.4<0.005<0.0050.1287.5Vendor0.01<0.0050.100.05<0.005<0.0050.030.03<0.0050.010.01Ï84.084.0<0.0050.010.0987.6H auling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 19 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.790.666.098.830.010.24Ï0.240.22Ï0.22Ï1,3501,3500.050.01Ï1,3550.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.040.040. 330.48<0.0050.01Ï0.010.01Ï0.01Ï74.074.0<0.005<0.005Ï74.20.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.010.010.060.09<0.005<0.005Ï<0.005<0.005Ï<0.005Ï12.312.3<0.005<0.005Ï12.3 0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipmentPaving0.300.30ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOnsitetruckDaily,Winter(Max)AverageDailyOff-RoadEquipmentPaving0.020.02ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOnsitetruckAnnua lÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentPaving<0.005<0.005ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOnsitetruck 3.9.Paving(2027)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 20 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.140.110.831.13<0.0050.02Ï0.020.02Ï0.02Ï1341340.01<0.005Ï134 OffsiteDaily,Summer(Max)Worker0.070.060.060.990.000.000.260.260.000.060.06Ï256256<0.0050.010.81260Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.0 00.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)AverageDailyWorker<0.005<0.005<0.0050.050.000.000.010.010.00<0.005<0.005Ï13.513.5<0.005<0.0050.0213.7Vendor0.000.000.000.000.000.000 .000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.010.000.00<0.005<0.0050.00<0. 005<0.005Ï2.242.24<0.005<0.005<0.0052.27Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Location OnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipment 3.11.ArchitecturalCoating(2027)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) Ï Ï Ï Ï HotelDetailedReport,11/13/2024 Ï Ï Ï Ï Ï 21 /45 Ï Ï Ï Ï Ï Ï Ï 171 1710.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.010.010.050.06<0.005<0.005Ï<0.005<0.005Ï<0.005Ï7.327.32<0.005<0.005Ï7.349.369.36ÏÏÏÏÏÏÏÏÏ ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00<0.005<0.0050.010.01<0.005<0.005Ï<0.005<0.005Ï<0.005Ï1.211.21<0.005<0.005Ï1.221.711.71ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000 .000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ArchitecturalOnsitetruckDaily,Winter(Max)AverageDailyOff-RoadEquipmentArchitecturalCoatingsOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentArchitecturalCoatingsOnsitetruckOffsiteDaily,Summer(Max) Worker0.130.110.121.920.000.000.510.510.000.120.12Ï4984980.010.021.58505Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 22 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)AverageDailyWorker0.010.010.010.090.000.000.030.030.000.010.01Ï26.326.3<0.005<0.0050.0426.7Vendor0.000.000 .000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.020.000.000.0 10.010.00<0.005<0.005Ï4.364.36<0.005<0.0050.014.41Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000. 00LandUseDaily,Summer(Max)HotelÏÏÏÏÏÏÏÏÏÏÏÏ4,8184,8180.460.06Ï4,846 4.OperationsEmissionsDetails 4.1.MobileEmissionsbyLandUse 4.1.1.Unmitigated MobilesourceemissionsresultsarepresentedinSections2.6.Nofurtherdetailedbreakdownofemissionsisavailable.4.2.Energy 4.2.1.ElectricityEmissionsByLandUse-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) 352CO2e ÏR <0.005N2O 0.03CH4 HotelDetailedReport,11/13/2024 350CO2T 350NBCO2 ÏBCO2 ÏPM2.5T ÏPM2.5D 23 /45 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx ÏROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ3503500.03<0.005Ï352ÏÏÏÏÏÏÏÏÏÏÏÏ58.058.00.01<0.005Ï58.3TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000.00Ï0.000.00Ï0.00Ï0.000.000.000.00Ï0.00 EnclosedTotalÏÏÏÏÏÏÏÏÏÏÏÏ5,1685,1680.490.06Ï5,198Daily,Winter(Max)HotelÏÏÏÏÏÏÏÏÏÏÏÏ4,8184,8180.460.06Ï4,846EnclosedParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏÏ5,1685,1680.490.06Ï5,198AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ HotelÏÏÏÏÏÏÏÏÏÏÏÏ7987980.080.01Ï802EnclosedParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏÏ8568560.080.01Ï861LandUseDaily,Summer(Max)Hotel0.310.152.822.360.020.21Ï0.210.21Ï0.21Ï3,3593,3590.300.01Ï3,368EnclosedPa rkingwithElevator 4.2.3.NaturalGasEmissionsByLandUse-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 24 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000.00Ï0.000.00Ï0.00Ï0.000.000.000.00Ï0.000.000.000.000.000.000.00Ï0.000.00Ï0.00Ï0.000.000.000.00Ï0.00TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ7.787.78ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Total0.310.152.822.360.020.21Ï0.210.21Ï0.21Ï3,3593,3590.300.01Ï3,368Daily,Winter(Max)Hotel0.310.152.822.360.020.21Ï0.210.21Ï0.21Ï3,3593,3590.300.01Ï3,368EnclosedParkingwithElevatorTotal0.310.152.822. 360.020.21Ï0.210.21Ï0.21Ï3,3593,3590.300.01Ï3,368AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏHotel0.060.030.510.43<0.0050.04Ï0.040.04Ï0.04Ï5565560.05<0.005Ï558EnclosedParkingwithElevatorTotal0.060.030.510.43<0.0050.04Ï0 .040.04Ï0.04Ï5565560.05<0.005Ï558SourceDaily,Summer(Max)ConsumerProducts 4.3.AreaEmissionsbySource 4.3.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) Ï Ï Ï Ï HotelDetailedReport,11/13/2024 Ï Ï Ï Ï Ï 25 /45 Ï Ï Ï Ï Ï Ï Ï 0.94 0.943.583.310.1720.1<0.0050.04Ï0.040.03Ï0.03Ï82.882.8<0.005<0.005Ï83.1ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ7.787.78ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.940.94ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.421.42ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.170.17ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.450.410.022.5 2<0.005<0.005Ï<0.005<0.005Ï<0.005Ï9.399.39<0.005<0.005Ï9.42 ArchitecturalCoatingsLandscapeEquipmentTotal12.312.00.1720.1<0.0050.04Ï0.040.03Ï0.03Ï82.882.8<0.005<0.005Ï83.1Daily,Winter(Max)ConsumerProductsArchitecturalCoatingsTotal8.718.71ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnual ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏConsumerProductsArchitecturalCoatingsLandscapeEquipmentTotal2.042.000.022.52<0.005<0.005Ï<0.005<0.005Ï<0.005Ï9.399.39<0.005<0.005Ï9.42 CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 26 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00 LandUseDaily,Summer(Max)HotelÏÏÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3EnclosedParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3Daily,Winter(Max)HotelÏÏÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3Enclosed ParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏ12.240.953.11.250.03Ï93.3AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏHotelÏÏÏÏÏÏÏÏÏÏÏ2.016.788.790.21<0.005Ï15.4EnclosedParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏ2.016.788.790.21<0.005Ï15.4 4.4.WaterEmissionsbyLandUse 4.4.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 27 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00 LandUseDaily,Summer(Max)HotelÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258EnclosedParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258Daily,Winter(Max)HotelÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258EnclosedPar kingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏ73.80.0073.87.370.00Ï258AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏHotelÏÏÏÏÏÏÏÏÏÏÏ12.20.0012.21.220.00Ï42.7EnclosedParkingwithElevatorTotalÏÏÏÏÏÏÏÏÏÏÏ12.20.0012.21.220.00Ï42.7 4.5.WasteEmissionsbyLandUse 4.5.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2eCO2e RR N2ON2O CH4CH4 HotelDetailedReport,11/13/2024 CO2TCO2T NBCO2NBCO2 BCO2BCO2 PM2.5TPM2.5T PM2.5DPM2.5D 28 /45 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx ROGROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ LandUseDaily,Summer(Max)HotelÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567Daily,Winter(Max)HotelÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ567567AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏHotelÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ93.99 3.9TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ93.993.9EquipmentTypeDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 4.6.RefrigerantEmissionsbyLandUse 4.6.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.7.OffroadEmissionsByEquipmentType 4.7.1.UnmitigatedCriteri aPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) ÏCO2eCO2e ÏRR ÏN2ON2O ÏCH4CH4 HotelDetailedReport,11/13/2024 ÏCO2TCO2T ÏNBCO2NBCO2 ÏBCO2BCO2 ÏPM2.5TPM2.5T ÏPM2.5DPM2.5D 29 /45 ÏPM2.5EPM2.5E ÏPM10TPM10T ÏPM10DPM10D ÏPM10EPM10E ÏSO2SO2 ÏCOCO ÏNOxNOx ÏROGROG ÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOG Daily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏEquipmentTypeDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏ ÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏEquipmentType 4.8.StationaryEmissionsByEquipmentType 4.8.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.9.UserDefinedEmissionsByEquipmentType 4.9.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2eCO2e RR N2ON2O CH4CH4 HotelDetailedReport,11/13/2024 CO2TCO2T NBCO2NBCO2 BCO2BCO2 PM2.5TPM2.5T PM2.5DPM2.5D 30 /45 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx ROGROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOG Daily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏVegetationDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)Total ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏLandUse 4.10.SoilCarbonAccumulationByVegetationType 4.10.1.SoilCarbonAccumulationByVegetationType-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.10.2.Abo veandBelowgroundCarbonAccumulationbyLandUseType-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 HotelDetailedReport,11/13/2024 CO2T NBCO2 BCO2 PM2.5T PM2.5D 31 /45 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSpeciesDaily,Summer(Max)AvoidedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSequesteredSubt otalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏRemovedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)AvoidedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 4.10.3.AvoidedandSequesteredEmissionsbySpecies-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) Ï Ï PhaseDescription Ï Ï HotelDetailedReport,11/13/2024 Ï WorkDaysperPhase Ï Ï Ï DaysPerWeek Ï 32 /45 Ï EndDate Ï Ï Ï StartDate Ï Ï Ï PhaseType Ï ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ SequesteredSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏRemovedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAvoidedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSequesteredSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏRemovedSubtotalÏ ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏPhaseNameSitePreparationSitePreparation1/1/20261/14/20265.0010.0ÏGradingGrading1/15/20262/25/20265.0030.0ÏBuildingConstructionBuildingConstruction2/26/20264/21/202 75.00300ÏPavingPaving4/22/20275/19/20275.0020.0ÏArchitecturalCoatingArchitecturalCoating5/20/20276/16/20275.0020.0Ï 5.ActivityData 5.1.ConstructionSchedule5.2.Off-RoadEquipment LoadFactor VehicleMix HotelDetailedReport,11/13/2024 Horsepower HoursPerDay MilesperTrip NumberperDay 33 /45 One-WayTripsperDay EngineTier FuelTypeDieselAverage4.008.0084.00.37DieselAverage3.008.0084.00.37DieselAverage3.007.0084.00.37DieselAverage2.006.0010.00.56DieselAverage1.008.0084.00.37 TripType EquipmentTypehoeshoeshoesMixershoes PhaseNameSitePreparationRubberTiredDozersDieselAverage3.008.003670.40SitePreparationTractors/Loaders/BackGradingExcavatorsDieselAverage1.008.0036.00.38GradingGradersDieselAverage1.008.001480.41Gradin gRubberTiredDozersDieselAverage1.008.003670.40GradingTractors/Loaders/BackBuildingConstructionCranesDieselAverage1.007.003670.29BuildingConstructionForkliftsDieselAverage3.008.0082.00.20BuildingConst ructionGeneratorSetsDieselAverage1.008.0014.00.74BuildingConstructionTractors/Loaders/BackBuildingConstructionWeldersDieselAverage1.008.0046.00.45PavingPaversDieselAverage1.008.0081.00.42PavingPaving EquipmentDieselAverage2.006.0089.00.36PavingRollersDieselAverage2.006.0036.00.38PavingCementandMortarPavingTractors/Loaders/BackArchitecturalCoatingAirCompressorsDieselAverage1.006.0037.00.48PhaseNam e 5.2.1.Unmitigated 5.3.ConstructionVehicles 5.3.1.Unmitigated HotelDetailedReport,11/13/2024 34 /45 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ SitePreparationSitePreparationWorker17.518.5LDA,LDT1,LDT2SitePreparationVendorÏ10.2HHDT,MHDTSitePreparationHauling1,64220.0HHDTSitePreparationOnsitetruckÏÏHHDTGradingGradingWorker15.018.5LDA,LDT1,LDT 2GradingVendorÏ10.2HHDT,MHDTGradingHauling0.0020.0HHDTGradingOnsitetruckÏÏHHDTBuildingConstructionBuildingConstructionWorker19418.5LDA,LDT1,LDT2BuildingConstructionVendor75.910.2HHDT,MHDTBuildingCons tructionHauling0.0020.0HHDTBuildingConstructionOnsitetruckÏÏHHDTPavingÏÏÏÏPavingWorker20.018.5LDA,LDT1,LDT2PavingVendorÏ10.2HHDT,MHDTPavingHauling0.0020.0HHDTPavingOnsitetruckÏÏHHDTArchitecturalCoati ngArchitecturalCoatingWorker38.918.5LDA,LDT1,LDT2ArchitecturalCoatingVendorÏ10.2HHDT,MHDTArchitecturalCoatingHauling0.0020.0HHDTArchitecturalCoatingOnsitetruckÏÏHHDT 5.4.Vehicles ParkingAreaCoated(sqft)AcresPaved(acres) N2O HotelDetailedReport,11/13/2024 Non-ResidentialExteriorAreaCoated(sqft)MaterialDemolished(sq.ft.)%Asphalt CH4 Non-ResidentialInteriorAreaCoated(sqft)AcresGraded(acres) 35 /45 CO2 ResidentialExteriorAreaCoated(sqft)MaterialExported(CubicYards)AreaPaved(acres) kWhperYear ResidentialInteriorAreaCoated(sqft)MaterialImported(CubicYards) PhaseNameArchitecturalCoating0.000.00549,008182,0016,011PhaseNameSitePreparation0.00131,37315.00.00ÏGrading0.000.0090.00.00ÏPaving0.000.000.000.002.30LandUseHotel0.000%EnclosedParkingwithElevator2.30 100%Year20260.005320.03<0.005 5.4.1.ConstructionVehicleControlStrategies Non-applicable.Nocontrolstrategiesactivatedbyuser.5.5.ArchitecturalCoatings5.6.DustMitigation 5.6.1.ConstructionEarthmovingActivities5.6.2.ConstructionEarth movingControlStrategies Non-applicable.Nocontrolstrategiesactivatedbyuser.5.7.ConstructionPaving5.8.ConstructionElectricityConsumptionandEmissionsFactors kWhperYearandEmissionFactor(lb/MWh) VMT/Year NaturalGas(kBTU/yr) ParkingAreaCoated(sqft) VMT/Sunday HotelDetailedReport,11/13/2024 VMT/SaturdayValueN2O Non-ResidentialExteriorAreaCoated(sqft) VMT/Weekday CH4 36 /45 Trips/Year Non-ResidentialInteriorAreaCoated(sqft) Trips/SundayUnitCO2 Trips/Saturday ResidentialExteriorAreaCoated(sqft) Electricity(kWh/yr) Trips/Weekday 20270.005320.03<0.005LandUseTypeTotalallLandUses0.000.000.000.000.000.000.000.00ResidentialInteriorAreaCoated(sqft)00.00549,008182,0016,011SeasonSnowDaysday/yr0.00SummerDaysday/yr250LandUse 5.9.OperationalMobileSources 5.9.1.Unmitigated 5.10.OperationalAreaSources 5.10.1.Hearths5.10.1.1.Unmitigated5.10.2.ArchitecturalCoatings5.10.3.LandscapeEquipment 5.11.OperationalEnergyConsumption 5.11.1.UnmitigatedElectricity(kWh/yr)andCO2andCH4andN2OandNaturalGas(kBTU/yr) TimesServiced HotelDetailedReport,11/13/2024 ServiceLeakRate OutdoorWater(gal/year)Cogeneration(kWh/year) OperationsLeakRate Quantity(kg) 37 /45 GWP IndoorWater(gal/year)Waste(ton/year) RefrigerantR-134a1,4300.000.600.001.00R-410A2,0881.804.004.0018.0R-404A3,922<0.0057.507.5020.0 369,1433460.03300.00400.00 EquipmentTyperefrigeratorsand/orfreezersandheatpumpsandfreezers Hotel5,079,7143460.03300.004010,480,427EnclosedParkingwithElevatorLandUseHotel6,341,6930.00EnclosedParkingwithElevator0.000.00LandUseHotel137ÏEnclosedParkingwithElevator0.00ÏLandUseTypeHotelHousehold HotelOthercommercialA/CHotelWalk-inrefrigerators 5.12.OperationalWaterandWastewaterConsumption 5.12.1.Unmitigated 5.13.OperationalWasteGeneration 5.13.1.Unmitigated 5.14.OperationalRefrigerationandAirConditioningEquipment 5.14.1.Unmitigated LoadFactorLoadFactor AnnualHeatInput(MMBtu/yr) HotelDetailedReport,11/13/2024 FinalAcres HorsepowerHorsepower DailyHeatInput(MMBtu/day)FinalAcres HoursPerDayHoursperYear BoilerRating(MMBtu/hr)FuelTypeInitialAcres 38 /45 NumberperDayHoursperDay NumberInitialAcres EngineTierNumberperDay VegetationSoilType FuelType FuelTypeFuelType EquipmentTypeEquipmentTypeEquipmentTypeEquipmentTypeVegetationLandUseTypeBiomassCoverType 5.15.OperationalOff-RoadEquipment 5.15.1.Unmitigated 5.16.StationarySources 5.16.1.EmergencyGeneratorsandFirePumps5.16.2.ProcessBoilers 5.17.UserDefined5.18.Vegetation 5.18.1.LandUseChange5.18.1.1.Un mitigated5.18.1.BiomassCoverType5.18.1.1.Unmitigated VulnerabilityScore .7miles(mi)by3.7mi. ouldbelighttomoderaterainfallif etal.,2017,CEC-500-2017-008),and derRCP8.5),andconsiderhistoricaldata rise,0.5meter,1.0meter,1.41meters oncentrationPathway(RCP)8.5which Averageconditions(CanESM2),Rangeof ymaximum/minimumtemperaturesfrom HotelDetailedReport,11/13/2024 ialwildfireprobabilitiesforthegridcell.The ncrementsofsealevelrisecoupledwith NaturalGasSaved(btu/year) Unit AdaptiveCapacityScore ElectricitySaved(kWh/year) 39 /45 SensitivityScore ResultforProjectLocation Number ExposureScore100N/A TreeTypeClimateHazardTemperatureandExtremeHeat9.03annualdaysofextremeheatExtremePrecipitation3.50annualdayswithprecipitationabove20mmSeaLevelRiseÏmetersofinundationdepthWildfire1.31annualhectaresburn edClimateHazardTemperatureandExtremeHeatExtremePrecipitationN/AN/AN/AN/ASeaLevelRise100N/A 5.18.2.Sequestration5.18.2.1.Unmitigated 6.ClimateRiskDetailedReport 6.1.ClimateRiskSummary Cal-Adaptmidcentury2040Î2059averageprojectionsforfourhazardsarereportedbelowforyourprojectlocation.Theseare underRepresentationCassumesGHGemissionswillcontinuetorisestronglythrough2050andthenplateauaround2100.TemperatureandExtremeHeatdataareforgridcellinwhichyourprojectarelocated.Theprojectionisbasedonthe9 8thhistoricalpercentileofdailobservedhistoricaldata(32climatemodelensemblefromCal-Adapt,2040Î2059averageunderRCP8.5). Eachgridcellis6kilometers(km)by6km,or3ExtremePrecipitationdataareforthegridcellin whichyourprojectarelocated.Thethresholdof20mmisequivalenttoabout¾aninchofrain,whichwreceivedoverafulldayorheavyrainifreceivedoveraperiodof2to4hours.Eachgridcellis6kilometers(km)by6km,or3.7miles(mi)by 3.7mi.SeaLevelRisedataareforthegridcellinwhichyourprojectarelocated.TheprojectionsarefromRadkeetal.(2017),asreportedinCal-Adapt(RadkeconsiderinundationlocationanddepthfortheSanFranciscoBay,theSacrame nto-SanJoaquinRiverDeltaandCaliforniacoastresultingdifferentiextremestormevents.Usersmayselectfromfourscenariostoviewtherangeinpotentialinundationdepthforthegridcell.Thefourscenariosare:NoWildfiredat aareforthegridcellinwhichyourprojectarelocated.TheprojectionsarefromUCDavis,asreportedinCal-Adapt(2040Î2059averageunofclimate,vegetation,populationdensity,andlarge(>400ha)firehistory.Usersmayselectfr omfourmodelsimulationstoviewtherangeinpotentfoursimulationsmakedifferentassumptionsaboutexpectedrainfallandtemperatureare:Warmer/drier(HadGEM2-ES),Cooler/wetter(CNRM-CM5),differentrainfallandtemperat urepossibilities(MIROC5).Eachgridcellis6kilometers(km)by6km,or3.7miles(mi)by3.7mi.6.2.InitialClimateRiskScores VulnerabilityScore 1to5,withascoreof5representingthe1to5,withascoreof5representingthe udeimplementationofclimateriskreduction plementationofclimateriskreduction HotelDetailedReport,11/13/2024 tedonascaleof1to5,withascoreof5tedonascaleof1to5,withascoreof5 AdaptiveCapacityScore 40 /45 SensitivityScore 100N/A000N/AExposureScore111211121112 WildfireFloodingN/AN/AN/AN/ADroughtN/AN/AN/AN/ASnowpackReductionN/AN/AN/AN/AAirQualityDegradationClimateHazardTemperatureandExtremeHeatExtremePrecipitationN/AN/AN/AN/ASeaLevelRise1112WildfireFlooding N/AN/AN/AN/ADroughtN/AN/AN/AN/ASnowpackReductionN/AN/AN/AN/AAirQualityDegradation Thesensitivityscorereflectstheextenttowhichaprojectwouldbeadverselyaffectedbyexposuretoaclimatehazard.Exposureisratedonascaleofgreatestexposure.Theadaptivecapacityofaprojectreferstoitsabilitytomanage andreducevulnerabilitiesfromprojectedclimatehazards.Adaptivecapacityisrarepresentingthegreatestabilitytoadapt.Theoverallvulnerabilityscoresarecalculatedbasedonthepotentialimpactsandadaptivecapacityas sessmentsforeachhazard.Scoresdonotinclmeasures.6.3.AdjustedClimateRiskScores Thesensitivityscorereflectstheextenttowhichaprojectwouldbeadverselyaffectedbyexposuretoaclimatehazard.Exposureisratedonasc aleofgreatestexposure.Theadaptivecapacityofaprojectreferstoitsabilitytomanageandreducevulnerabilitiesfromprojectedclimatehazards.Adaptivecapacityisrarepresentingthegreatestabilitytoadapt.Theoverallvu lnerabilityscoresarecalculatedbasedonthepotentialimpactsandadaptivecapacityassessmentsforeachhazard.Scoresincludeimmeasures.6.4.ClimateRiskReductionMeasures 7.HealthandEquityDetails estate. HotelDetailedReport,11/13/2024 ResultforProjectCensusTractÏ57.073.578.346.577.70.0087.544.2Ï94.80.000.0066.7Ï55.545.888.097.988.796.992.849.9 41 /45 IndicatorExposureIndicatorsAQ-OzoneAQ-PMAQ-DPMDrinkingWaterLeadRiskHousingPesticidesToxicReleasesTrafficEffectIndicatorsCleanUpSitesGroundwaterHazWasteFacilities/Generators86.4ImpairedWaterBodiesSoli dWasteSensitivePopulationAsthmaCardio-vascularLowBirthWeightsSocioeconomicFactorIndicatorsÏEducationHousingLinguisticPovertyUnemployment 7.1.CalEnviroScreen4.0Scores ThemaximumCalEnviroScreenscoreis100.Ahighscore(i.e.,greaterthan50)reflectsahigherpollutionburdencomparedtoothercensustractsinth actsinthestate. HotelDetailedReport,11/13/2024 ResultforProjectCensusTractÏ5.4151161349.839599645.838573078Ï10.6120877710045.81034262Ï2.66906197993.17336071Ï61.863210574.401385859Ï16.2710124535.8141922296.3557038494.2512511220.51841396Ï5.80007699 24.516874118 42 /45 IndicatorEconomicAbovePovertyEmployedMedianHIEducationBachelor'sorhigherHighschoolenrollmentPreschoolenrollmentTransportationAutoAccessActivecommutingSocial2-parenthouseholdsVotingNeighborhoodAlcohol availabilityParkaccessRetaildensitySupermarketaccessTreecanopyHousingHomeownershipHousinghabitabilityLow-inchomeownerseverehousingcostburden15.57808289Low-increnterseverehousingcostburden43.07712049 7.2.HealthyPlacesIndexScores ThemaximumHealthPlacesIndexscoreis100.Ahighscore(i.e.,greaterthan50)reflectshealthiercommunityconditionscomparedtoothercensustr HotelDetailedReport,11/13/2024 1.680995765Ï1.86064416854.349.458.087.614.811.995.739.745.17.314.819.994.317.3Ï57.09.30.00.0 43 /45 UncrowdedhousingHealthOutcomesInsuredadultsArthritisAsthmaERAdmissionsHighBloodPressureCancer(excludingskin)AsthmaCoronaryHeartDisease23.5ChronicObstructivePulmonaryDisease17.9DiagnosedDiabetesLifeEx pectancyatBirthCognitivelyDisabledPhysically DisabledHeartAttackERAdmissions78.5MentalHealthNotGoodChronicKidneyDiseaseObesityPedestrianInjuriesPhysicalHealthNotGood7.3StrokeHealthRiskBehaviorsBingeD rinkingCurrentSmokerNoLeisureTimeforPhysicalActivity3.2ClimateChangeExposuresÏWildfireRiskSLRInundationArea tractsinthestate. thestate. HotelDetailedReport,11/13/2024 0.569.31.393.321.655.323.0Ï96.6Ï31.1ResultforProjectCensusTract 44 /45 ChildrenElderlyEnglishSpeakingForeign-bornOutdoorWorkersClimateChangeAdaptiveCapacityÏImperviousSurfaceCover11.1TrafficDensityTrafficAccessOtherIndicesHardshipOtherDecisionSupport2016VotingMetricCalE nviroScreen4.0ScoreforProjectLocation(a)90.0HealthyPlacesIndexScoreforProjectLocation(b)12.0ProjectLocatedinaDesignatedDisadvantagedCommunity(SenateBill535)YesProjectLocatedinaLow-IncomeCommunity(Ass emblyBill1550)YesProjectLocatedinaCommunityAirProtectionProgramCommunity(AssemblyBill617)No 7.3.OverallHealth&EquityScores a:ThemaximumCalEnviroScreenscoreis100.Ahighscore(i.e.,greaterthan50)reflectsahigherpollutionburdencomparedtoothercensustractsinb:ThemaximumHealthPlacesIndexscoreis100.A highscore(i.e.,greaterthan50)reflectshealthiercommunityconditionscomparedtoothercensus 7.4.Health&EquityMeasures NoHealth&EquityMeasuresselected.7.5.EvaluationScorecard Health&EquityEvaluationScoreca rdnotcompleted. HotelDetailedReport,11/13/2024 JustificationMorereflectiveofSantaAnaLotAcreage 45 /45 ScreenConstruction:ConstructionPhasesremoveddemolition.LandUseConstruction:DustFromMaterialMovementMorerepresentativeofSantaAna 7.6.Health&EquityCustomMeasures NoHealth&EquityCustomMeasurescreated.8.UserChangestoDefaultData SingleFamilyResidenceDetailedReport,11/13/2024 1 /52 SingleFamilyResidenceDetailedReport 1.1.BasicProjectInformation1.2.LandUseTypes1.3.User-SelectedEmissionReductionMeasuresbyEmissionsSector2.1.ConstructionEmissionsComparedAgainstThresholds2.2.ConstructionEmissionsbyYear,Unmitigated2.4. OperationsEmissionsComparedAgainstThresholds2.5.OperationsEmissionsbySector,Unmitigated3.1.Demolition(2026)-Unmitigated3.3.SitePreparation(2026)-Unmitigated3.5.Grading(2026)-Unmitigated3.7.BuildingCo nstruction(2026)-Unmitigated3.9.BuildingConstruction(2027)-Unmitigated TableofContents 1.BasicProjectInformation2.EmissionsSummary3.ConstructionEmissionsDetails SingleFamilyResidenceDetailedReport,11/13/2024 2 /52 4.1.1.Unmitigated4.2.1.ElectricityEmissionsByLandUse-Unmitigated4.2.3.NaturalGasEmissionsByLandUse-Unmitigated4.3.1.Unmitigated4.4.1.Unmitigated4.5.1.Unmitigated4.6.1.Unmitigated 3.11.BuildingConstruction(2028)-Unmitigated3.13.BuildingConstruction(2029)-Unmitigated3.15.Paving(2029)-Unmitigated3.17.ArchitecturalCoating(2029)-Unmitigated4.1.MobileEmissionsbyLandUse4.2.Energy4.3 .AreaEmissionsbySource4.4.WaterEmissionsbyLandUse4.5.WasteEmissionsbyLandUse4.6.RefrigerantEmissionsbyLandUse 4.OperationsEmissionsDetails SingleFamilyResidenceDetailedReport,11/13/2024 3 /52 4.7.1.Unmitigated4.8.1.Unmitigated4.9.1.Unmitigated4.10.1.SoilCarbonAccumulationByVegetationType-Unmitigated4.10.2.AboveandBelowgroundCarbonAccumulationbyLandUseType-Unmitigated4.10.3.AvoidedandSeque steredEmissionsbySpecies-Unmitigated5.2.1.Unmitigated5.3.1.Unmitigated5.4.1.ConstructionVehicleControlStrategies 4.7.OffroadEmissionsByEquipmentType4.8.StationaryEmissionsByEquipmentType4.9.UserDefinedEmissionsByEquipmentType4.10.SoilCarbonAccumulationByVegetationType5.1.ConstructionSchedule5.2.Off-RoadEquipmen t5.3.ConstructionVehicles5.4.Vehicles 5.ActivityData SingleFamilyResidenceDetailedReport,11/13/2024 4 /52 5.10.1.1.Unmitigated 5.6.1.ConstructionEarthmovingActivities5.6.2.ConstructionEarthmovingControlStrategies5.9.1.Unmitigated5.10.1.Hearths5.10.2.ArchitecturalCoatings5.10.3.LandscapeEquipment5.11.1.Unmitigated5.12.1.Unmit igated 5.5.ArchitecturalCoatings5.6.DustMitigation5.7.ConstructionPaving5.8.ConstructionElectricityConsumptionandEmissionsFactors5.9.OperationalMobileSources5.10.OperationalAreaSources5.11.OperationalEnergy Consumption5.12.OperationalWaterandWastewaterConsumption5.13.OperationalWasteGeneration SingleFamilyResidenceDetailedReport,11/13/2024 5 /52 5.18.1.1.Unmitigated5.18.1.1.Unmitigated5.18.2.1.Unmitigated 5.13.1.Unmitigated5.14.1.Unmitigated5.15.1.Unmitigated5.16.1.EmergencyGeneratorsandFirePumps5.16.2.ProcessBoilers5.18.1.LandUseChange5.18.1.BiomassCoverType5.18.2.Sequestration 5.14.OperationalRefrigerationandAirConditioningEquipment5.15.OperationalOff-RoadEquipment5.16.StationarySources5.17.UserDefined5.18.Vegetation6.1.ClimateRiskSummary 6.ClimateRiskDetailedReport SingleFamilyResidenceDetailedReport,11/13/2024 6 /52 6.2.InitialClimateRiskScores6.3.AdjustedClimateRiskScores6.4.ClimateRiskReductionMeasures7.1.CalEnviroScreen4.0Scores7.2.HealthyPlacesIndexScores7.3.OverallHealth&EquityScores7.4.Health&EquityMeasure s7.5.EvaluationScorecard7.6.Health&EquityCustomMeasures 7.HealthandEquityDetails8.UserChangestoDefaultData Description Population SpecialLandscapeArea(sqft) SingleFamilyResidenceDetailedReport,11/13/2024 LandscapeArea(sqft) ValueSingleFamilyResidence1/1/20262027ÏProject/site2.5018.6SantaAna,CA,USAOrangeSantaAnaSouthCoastAQMDSouthCoast59907SouthernCaliforniaEdisonSouthernCaliforniaGas2022.1.1.29 7 /52 BuildingArea(sqft) LotAcreage Unit Size134DwellingUnit43.5261,3001,569,523Ï750Ï DataFieldProjectNameConstructionStartDateOperationalYearLeadAgencyLandUseScaleAnalysisLevelforDefaultsCountyWindspeed(m/s)Precipitation(days)LocationCountyCityAirDistrictAirBasinTAZEDFZElectricUtilit yGasUtilityAppVersionLandUseSubtypeSingleFamilyHousing 1.BasicProjectInformation 1.1.BasicProjectInformation1.2.LandUseTypes CO2eCO2e RR N2ON2O CH4CH4 CO2TCO2T NBCO2NBCO2 BCO2BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5TPM2.5T PM2.5DPM2.5D 8 /52 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx ROGROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ParkingLot134Space1.210.000.00ÏÏÏUn/Mit.Daily,Summer(Max)Unmit.30.230.129.229.70.061.2419.921.11.1410.211.3Ï6,8596,8590.270.113.346,885Daily,Winter(Max)Unmit.30.230.129.229.60.051.2419.921.11.1410.21 1.3Ï5,5155,5150.220.110.095,536AverageDaily(Max)Unmit.5.105.0013.815.40.030.563.824.370.511.662.17Ï3,3363,3360.130.070.933,355Annual(Max)Unmit.0.930.912.522.810.010.100.700.800.090.300.40Ï5525520.020 .010.15555YearDaily-Summer(Max) 1.3.User-SelectedEmissionReductionMeasuresbyEmissionsSector Nomeasuresselected 2.EmissionsSummary 2.1.ConstructionEmissionsComparedAgainstThresholds CriteriaPollutants(lb/dayfordaily,ton/yrforannual) andGHGs(lb/dayfordaily,MT/yrforannual)2.2.ConstructionEmissionsbyYear,Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 9 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 20263.803.2029.229.70.061.2419.921.11.1410.211.3Ï6,8596,8590.270.113.346,88520271.431.189.9815.50.030.340.751.090.310.180.49Ï3,4563,4560.130.103.013,49220281.371.139.4715.40.030.300.751.060.280.180.4 6Ï3,4353,4350.130.082.703,465202930.230.19.1115.20.030.280.751.030.260.180.44Ï3,4133,4130.130.082.403,443Daily-Winter(Max)20263.803.2029.229.60.051.2419.921.11.1410.211.3Ï5,5155,5150.220.110.095,5362 0271.431.1810.0015.20.030.340.751.090.310.180.49Ï3,4263,4260.130.100.083,46020281.371.139.5115.10.030.300.751.060.280.180.46Ï3,4063,4060.130.100.073,440202930.230.19.1314.90.030.280.751.030.260.180.4 4Ï3,3843,3840.130.100.063,418AverageDaily20261.871.5813.815.40.030.563.824.370.511.662.17Ï3,3363,3360.130.050.563,35520271.020.847.1610.90.020.240.530.770.220.130.35Ï2,4532,4530.090.070.932,47820280. 980.816.8110.90.020.220.530.750.200.130.33Ï2,4452,4450.090.070.842,47020295.105.003.986.540.010.130.280.410.120.070.18Ï1,3611,3610.050.040.381,373AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ20260.340.292.522.810.010.100 .700.800.090.300.40Ï5525520.020.010.0955520270.190.151.311.99<0.0050.040.100.140.040.020.06Ï4064060.010.010.1541020280.180.151.241.98<0.0050.040.100.140.040.020.06Ï4054050.020.010.1440920290.930.910. 731.19<0.0050.020.050.070.020.010.03Ï2252250.010.010.06227Un/Mit.Daily,Summer(Max)Unmit.45.741.84.1576.30.189.670.009.679.500.009.501,3725,1436,51515.70.081.876,934 2.4.OperationsEmissionsComparedAgainstThresholds CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 10 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Winter(Max)Unmit.45.041.14.0868.70.189.670.009.679.500.009.501,3725,1226,49415.70.081.876,914AverageDaily(Max)Unmit.9.348.981.5410.40.020.760.000.760.750.000.752032,9023,10512.20.041.873,425Ann ual(Max)Unmit.1.701.640.281.90<0.0050.140.000.140.140.000.1433.64805142.020.010.31567SectorDaily,Summer(Max)Mobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area45.641.72.85 75.80.179.57Ï9.579.39Ï9.391,2552,4193,6743.740.05Ï3,781Energy0.150.081.300.550.010.10Ï0.100.10Ï0.10Ï2,5662,5660.230.01Ï2,576WaterÏÏÏÏÏÏÏÏÏÏÏ9.641581671.000.03Ï200WasteÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï37 5Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.871.87Total45.741.84.1576.30.189.670.009.679.500.009.501,3725,1436,51515.70.081.876,934Daily,Winter(Max)Mobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000. 000.00Area44.941.12.7868.10.179.57Ï9.579.39Ï9.391,2552,3983,6533.740.05Ï3,761Energy0.150.081.300.550.010.10Ï0.100.10Ï0.10Ï2,5662,5660.230.01Ï2,576 2.5.OperationsEmissionsbySector,Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 11 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOG WaterÏÏÏÏÏÏÏÏÏÏÏ9.641581671.000.03Ï200WasteÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï375Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.871.87Total45.041.14.0868.70.189.670.009.679.500.009.501,3725,1226,49415.70.081.876,914AverageDail yMobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area9.198.900.249.880.010.66Ï0.660.65Ï0.6586.01782640.26<0.005Ï272Energy0.150.081.300.550.010.10Ï0.100.10Ï0.10Ï2,5662,5660. 230.01Ï2,576WaterÏÏÏÏÏÏÏÏÏÏÏ9.641581671.000.03Ï200WasteÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï375Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.871.87Total9.348.981.5410.40.020.760.000.760.750.000.752032,9023,10512.20.041.873,425A nnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏMobile0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Area1.681.620.041.80<0.0050.12Ï0.120.12Ï0.1214.229.543.70.04<0.005Ï45.0Energy0.030.010.240.10<0.0050. 02Ï0.020.02Ï0.02Ï4254250.04<0.005Ï427WaterÏÏÏÏÏÏÏÏÏÏÏ1.6026.127.70.17<0.005Ï33.1WasteÏÏÏÏÏÏÏÏÏÏÏ17.80.0017.81.770.00Ï62.1Refrig.ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.310.31Total1.701.640.281.90<0.0050.140.000.140.140.00 0.1433.64805142.020.010.31567LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 3.ConstructionEmissionsDetails 3.1.Demolition(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) SingleFamilyResidenceDetailedReport,11/13/2024 12 /52 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ2.722.2920.719.00.030.84Ï0.840.78Ï0.78Ï3,4273,4270.140.03Ï3,438ÏÏÏÏÏÏ0.000.00Ï0.000.00ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Ï ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.370.312.832.60<0.0050.12Ï0.120.11Ï0.11Ï4694690.02<0.005Ï471ÏÏÏÏÏÏ0.000.00Ï0.000.00ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.070.060.520.48<0.005 0.02Ï0.020.02Ï0.02Ï77.777.7<0.005<0.005Ï78.0ÏÏÏÏÏÏ0.000.00Ï0.000.00ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Summer(Max)Daily,Winter(Max)Off-RoadEquipmentDemolitionOnsitetruckAverageDailyOff-RoadEquipmentDemolitionOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentDemolitionOnsitetruckOffsiteDaily,Su mmer(Max) CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 13 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ3.743.1429.228.80.051.24Ï1.241.14Ï1.14Ï5,2985,2980.210.04Ï5,316ÏÏÏÏÏÏ19.719.7Ï10.110.1ÏÏÏÏÏÏÏ Daily,Winter(Max)Worker0.050.050.050.680.000.000.200.200.000.050.05Ï186186<0.0050.010.02188Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000. 000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker0.010.010.010.100.000.000.030.030.000.010.01Ï25.825.8<0.005<0.0050.0426.2Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000. 000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.020.000.00<0.005<0.0050.00<0.005<0.005Ï4.274.27<0.005<0.0050.01 4.33Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer (Max)Off-RoadEquipmentDustFromMaterialMovement 3.3.SitePreparation(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) 0.00 0.00 0.00 0.00 0.00 0.00 Ï SingleFamilyResidenceDetailedReport,11/13/2024 0.00 0.00 14 /52 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ3.743.1429.228.80.051.24Ï1.241.14Ï1.14Ï5,2985,2980.210.04Ï5,316ÏÏÏÏÏÏ19.719.7Ï10.110.1ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ÏÏÏ0.310.262.402.37<0.0050.10Ï0.100.09Ï0.09Ï4354350.02<0.005Ï437ÏÏÏÏÏÏ1.621.62Ï0.830.83ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.060.050.440.43<0.0050.02Ï0.020.02Ï 0.02Ï72.172.1<0.005<0.005Ï72.3ÏÏÏÏÏÏ0.290.29Ï0.150.15ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 OnsitetruckDaily,Winter(Max)Off-RoadEquipmentDustFromMaterialMovementOnsitetruckAverageDailyOff-RoadEquipmentDustFromMaterialMovementOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentDustFromMateri alMovementOnsitetruck CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 15 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ OffsiteDaily,Summer(Max)Worker0.060.060.050.920.000.000.230.230.000.050.05Ï228228<0.0050.010.79231Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.0 00.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.060.060.060.800.000.000.230.230.000.050.05Ï217217<0.0050.010.02219Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.0 00.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker<0.005<0.0050.010.070.000.000.020.020.00<0.005<0.005Ï18.118.1<0.005<0.0050.0318.3Vendor0 .000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.010.0 00.00<0.005<0.0050.00<0.005<0.005Ï2.992.99<0.005<0.005<0.0053.03Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.00 0.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max) 3.5.Grading(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) 6,621 Ï 0.05 0.27 6,599 6,599 Ï SingleFamilyResidenceDetailedReport,11/13/2024 1.03 Ï 16 /52 1.03 1.12 Ï 1.12 0.06 27.6 27.2 3.04 3.62ÏÏÏÏÏÏ9.209.20Ï3.653.65ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.740.635.595.670.010.23Ï0.230.21Ï0.21Ï1,3561,3560.060.01Ï1, 361ÏÏÏÏÏÏ1.891.89Ï0.750.75ÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.140.111.021.03<0.0050.04Ï0.040.04Ï0.04Ï2242240.01<0.005Ï225ÏÏÏÏÏÏ0.350.35Ï0.140.14ÏÏÏÏÏÏÏ0.000. 000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Off-RoadDustFromMaterialMovementOnsitetruckDaily,Winter(Max)AverageDailyOff-RoadEquipmentDustFromMaterialMovementOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentDustFromMaterialMovementOnsitetruc kOffsite ÏCO2e ÏR ÏN2O ÏCH4 ÏCO2T ÏNBCO2 ÏBCO2 SingleFamilyResidenceDetailedReport,11/13/2024 ÏPM2.5T ÏPM2.5D 17 /52 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx ÏROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.281.079.8513.00.020.38Ï0.380.35Ï0.35Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 Daily,Summer(Max)Worker0.070.070.061.050.000.000.260.260.000.060.06Ï260260<0.0050.010.91264Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000. 000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)AverageDailyWorker0.010.010.010.190.000.000.050.050.000.010.01Ï51.651.6<0.005<0.0050.0852.3Vendor0.000.000.000.000.000.000.000.000.000.000. 00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.040.000.000.010.010.00<0.005<0.005Ï8.558.55<0. 005<0.0050.018.66Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ÏDaily,Summer(Max)Off-RoadEquipmentOnsitetruck 3.7.BuildingConstruction(2026)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) SingleFamilyResidenceDetailedReport,11/13/2024 18 /52 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.281.079.8513.00.020.38Ï0.380.35Ï0.35Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.360.302.803.680.010.11Ï0.110. 10Ï0.10Ï6806800.030.01Ï6830.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.070.060.510.67<0.0050.02Ï0.020.02Ï0.02Ï113113<0.005<0.005Ï1130.000.000.000.000.000.000.000.000.000.000 .00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Winter(Max)Off-RoadEquipmentOnsitetruckAverageDailyOff-RoadEquipmentOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentOnsitetruckOffsiteDaily,Summer(Max)Worker0.170.160.152.540.000.000.630.63 0.000.150.15Ï6286280.010.022.18637Vendor0.040.010.460.23<0.005<0.0050.120.13<0.0050.030.04Ï4494490.020.061.16470Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winte r(Max)Worker0.170.160.172.190.000.000.630.630.000.150.15Ï5985980.010.020.06605 CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 19 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.231.039.3912.90.020.34Ï0.340.31Ï0.31Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.231.039. 3912.90.020.34Ï0.340.31Ï0.31Ï2,3972,3970.100.02Ï2,405 Vendor0.030.010.480.23<0.005<0.0050.120.13<0.0050.030.04Ï4504500.020.060.03469Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker0.050.050.050.650.000.000.1 80.180.000.040.04Ï172172<0.0050.010.27174Vendor0.01<0.0050.140.07<0.005<0.0050.030.04<0.0050.010.01Ï1281280.010.020.14133Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00An nualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker0.010.010.010.120.000.000.030.030.000.010.01Ï28.528.5<0.005<0.0050.0428.8Vendor<0.005<0.0050.020.01<0.005<0.0050.010.01<0.005<0.005<0.005Ï21.121.1<0.005<0.0050.0222.0Hauli ng0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipmentOnsitetruckDaily,Winter(Max)Off-RoadEquipment 3.9.BuildingConstruction(2027)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) SingleFamilyResidenceDetailedReport,11/13/2024 20 /52 0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.880.746.719.240.020.24Ï0.240.22Ï0.22Ï1,7121,7120.070.01Ï1,7180.000.000.000.000.000.000.000.000.000.000.00Ï0.00 0.000.000.000.000.000.160.131.221.69<0.0050.04Ï0.040.04Ï0.04Ï2832830.01<0.005Ï2840.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ OnsitetruckAverageDailyOff-RoadEquipmentOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentOnsitetruckOffsiteDaily,Summer(Max)Worker0.160.140.142.390.000.000.630.630.000.150.15Ï6186180.010.021.96627 Vendor0.030.010.440.22<0.005<0.0050.120.13<0.0050.030.04Ï4414410.020.061.05461Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.160.140.152.050.000. 000.630.630.000.150.15Ï5885880.010.020.05595Vendor0.030.010.460.22<0.005<0.0050.120.13<0.0050.030.04Ï4414410.020.060.03460Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00A verageDailyWorker0.110.100.121.530.000.000.450.450.000.100.10Ï4264260.010.020.60431Vendor0.020.010.330.16<0.005<0.0050.090.09<0.0050.020.03Ï3153150.020.040.32329 CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 21 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.180.998.9212.90.020.30Ï0.300.28Ï0.28Ï2,3972,3970.100.02Ï2,4060.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.180.998.9212.90.020.30Ï0.3 00.28Ï0.28Ï2,3972,3970.100.02Ï2,4060.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.850.716.399.260.020.22Ï0.220.20Ï0.20Ï1,7171,7170.070.01Ï1,723 Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker0.020.020.020.280.000.000.080.080.000.020.02Ï70.570.5<0.005<0.0050.1071.4Vendor<0.005<0.0050. 060.03<0.005<0.0050.020.02<0.005<0.005<0.005Ï52.252.2<0.0050.010.0554.4Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off -RoadEquipmentOnsitetruckDaily,Winter(Max)Off-RoadEquipmentOnsitetruckAverageDailyOff-RoadEquipment 3.11.BuildingConstruction(2028)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) SingleFamilyResidenceDetailedReport,11/13/2024 22 /52 0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.150.131.171.69<0.0050.04Ï0.040.04Ï0.04Ï2842840.01<0.005Ï2850.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ OnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentOnsitetruckOffsiteDaily,Summer(Max)Worker0.160.130.122.250.000.000.630.630.000.150.15Ï6076070.01<0.0051.75609Vendor0.030.010.420.21<0.005<0.0050.12 0.13<0.0050.030.04Ï4314310.020.060.95450Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.160.130.151.930.000.000.630.630.000.150.15Ï5775770.010.020 .05584Vendor0.030.010.440.22<0.005<0.0050.120.13<0.0050.030.04Ï4314310.020.060.02450Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker0.110.100.101.450.000 .000.450.450.000.100.10Ï4194190.010.020.54425Vendor0.020.010.320.15<0.005<0.0050.090.09<0.0050.020.03Ï3093090.020.040.29322Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker0.020.020.020.260.000.000.080.080.000.020.02Ï69.469.4<0.005<0.0050.0970.3Vendor<0.005<0.0050.060.03<0.005<0.0050.020.02<0.005<0.005<0.005Ï51.151.1<0.0050.010.0553.3Hauli ng0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00 CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 23 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.150.978.5812.90.020.28Ï0.280.25Ï0.25Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.150.978.5812.90.020.28Ï0.2 80.25Ï0.25Ï2,3972,3970.100.02Ï2,4050.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.360.302.704.060.010.09Ï0.090.08Ï0.08Ï7557550.030.01Ï7580.000.000.000.000.00 0.000.000.000.000.000.00Ï0.000.000.000.000.000.000.070.060.490.74<0.0050.02Ï0.020.01Ï0.01Ï1251250.01<0.005Ï125 LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipmentOnsitetruckDaily,Winter(Max)Off-RoadEquipmentOnsitetruckAverageDailyOff-RoadEquipmentOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquip ment 3.13.BuildingConstruction(2029)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 24 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG 0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOG OnsitetruckOffsiteDaily,Summer(Max)Worker0.150.130.122.120.000.000.630.630.000.150.15Ï5965960.01<0.0051.56599Vendor0.030.010.400.20<0.005<0.0050.120.13<0.0050.030.04Ï4194190.020.060.85439Hauling0.000 .000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.150.130.121.820.000.000.630.630.000.150.15Ï5685680.010.020.04575Vendor0.030.010.420.21<0.005<0.0050.120.13<0.0 050.030.04Ï4204200.020.060.02438Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker0.050.040.040.600.000.000.200.200.000.050.05Ï181181<0.0050.010.21184Vendo r0.01<0.0050.130.06<0.005<0.0050.040.04<0.0050.010.01Ï1321320.010.020.12138Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker0.010.010.010.110. 000.000.040.040.000.010.01Ï30.030.0<0.005<0.0050.0430.4Vendor<0.005<0.0050.020.01<0.005<0.0050.010.01<0.005<0.005<0.005Ï21.921.9<0.005<0.0050.0222.9Hauling0.000.000.000.000.000.000.000.000.000.000.00 Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 3.15.Paving(2029)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) Ï Ï Ï Ï Ï Ï Ï SingleFamilyResidenceDetailedReport,11/13/2024 Ï Ï 25 /52 Ï Ï Ï Ï Ï Ï Ï Ï Ï0.800.676.469.920.010.24Ï0.240.22Ï0.22Ï1,5111,5110.060.01Ï1,5160.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.120.100.971.49<0.0050.04Ï0.0 40.03Ï0.03Ï2282280.01<0.005Ï2280.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.000.020.020.180.27<0.0050.01Ï0.010.01Ï0.01Ï37.737.7<0.005<0.005Ï37.80.000.000.000.000.000.000.000.000 .000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Summer(Max)Off-RoadEquipmentPaving0.060.06ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOnsitetruckDaily,Winter(Max)AverageDailyOff-RoadEquipmentPaving0.010.01ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquip mentPaving<0.005<0.005ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOnsitetruckOffsiteDaily,Summer(Max)Worker0.050.040.040.660.000.000.200.200.000.050.05Ï185185<0.005<0.0050.48186 CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 26 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.120.100.791.11<0.0050.01Ï0.010.01Ï0.01Ï1341340.01<0.005Ï13430.030.0ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.00 0.000.000.00 Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)AverageDailyWorker0.010.010.010 .090.000.000.030.030.000.010.01Ï27.027.0<0.005<0.0050.0327.3Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.00 0.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.020.000.000.010.010.00<0.005<0.005Ï4.464.46<0.005<0.0050.014.52Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.0 0Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00LocationOnsiteÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Summer(Max)Off-RoadEquipmentArchitecturalCoatingsOnsitetruck 3.17.ArchitecturalCoating(2029)-Unmitigated CriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) SingleFamilyResidenceDetailedReport,11/13/2024 27 /52 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.120.100.791.11<0.0050.01Ï0.010.01Ï0.01Ï1341340.01<0.005Ï13430.030.0ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.020.020 .120.17<0.005<0.005Ï<0.005<0.005Ï<0.005Ï20.120.1<0.005<0.005Ï20.24.524.52ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00<0.005<0.0050.020.03<0.005<0.005Ï<0.005<0 .005Ï<0.005Ï3.333.33<0.005<0.005Ï3.340.830.83ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Winter(Max)Off-RoadEquipmentArchitecturalCoatingsOnsitetruckAverageDailyOff-RoadEquipmentArchitecturalCoatingsOnsitetruckAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏOff-RoadEquipmentArchitecturalCoatingsOnsitetruc kOffsite SingleFamilyResidenceDetailedReport,11/13/2024 28 /52 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Summer(Max)Worker0.030.030.020.420.000.000.130.130.000.030.03Ï119119<0.005<0.0050.31120Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.00 0.000.000.000.000.00Ï0.000.000.000.000.000.00Daily,Winter(Max)Worker0.030.030.020.360.000.000.130.130.000.030.03Ï114114<0.005<0.0050.01115Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000. 000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AverageDailyWorker<0.005<0.005<0.0050.060.000.000.020.020.00<0.005<0.005Ï17.317.3<0.005<0.0050.0217.6Vendor0. 000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏWorker<0.005<0.005<0.0050.010.00 0.00<0.005<0.0050.00<0.005<0.005Ï2.872.87<0.005<0.005<0.0052.91Vendor0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000.000.000.000.00Hauling0.000.000.000.000.000.000.000.000.000.000.00Ï0.000.000 .000.000.000.00 4.OperationsEmissionsDetails 4.1.MobileEmissionsbyLandUse 4.1.1.Unmitigated MobilesourceemissionsresultsarepresentedinSections2.6.Nofurtherdetailedbreakdownofemissionsisavailable.4.2.Energy CO2e R N2O CH4 CO2T NBCO2 BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5T PM2.5D 29 /52 PM2.5E PM10T PM10D PM10E SO2 CO NOx ROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ8768760.080.01Ï881ÏÏÏÏÏÏÏÏÏÏÏÏ43.643.6<0.005<0.005Ï43.9ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ8768760.080.01Ï881ÏÏÏÏÏÏÏÏÏÏÏÏ43.643.6<0.005<0.005Ï43.9ÏÏÏÏÏÏÏÏÏÏÏÏ1451450.01<0.0 05Ï146ÏÏÏÏÏÏÏÏÏÏÏÏ7.237.23<0.005<0.005Ï7.27 LandUseDaily,Summer(Max)SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏÏ9209200.090.01Ï925Daily,Winter(Max)SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏÏ9209200.090.01Ï925AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSingle FamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏÏ1521520.01<0.005Ï153 4.2.1.ElectricityEmissionsByLandUse-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.2.3.NaturalGasEmissionsByLandUse-UnmitigatedCriteriaPollutants (lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2eCO2e RR N2ON2O CH4CH4 CO2TCO2T NBCO2NBCO2 BCO2BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5TPM2.5T PM2.5DPM2.5D 30 /52 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx ROGROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.150.081.300.550.010.10Ï0.100.10Ï0.10Ï1,6461,6460.15<0.005Ï1,6510.000.000.000.000.000.00Ï0.000.00Ï0.00Ï0.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.150.081.300.550.010.10Ï0.100.10Ï0 .10Ï1,6461,6460.15<0.005Ï1,6510.000.000.000.000.000.00Ï0.000.00Ï0.00Ï0.000.000.000.00Ï0.000.030.010.240.10<0.0050.02Ï0.020.02Ï0.02Ï2732730.02<0.005Ï2730.000.000.000.000.000.00Ï0.000.00Ï0.00Ï0.000.000 .000.00Ï0.00TOG LandUseDaily,Summer(Max)SingleFamilyHousingParkingLotTotal0.150.081.300.550.010.10Ï0.100.10Ï0.10Ï1,6461,6460.15<0.005Ï1,651Daily,Winter(Max)SingleFamilyHousingParkingLotTotal0.150.081.300.550.010.10Ï 0.100.10Ï0.10Ï1,6461,6460.15<0.005Ï1,651AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSingleFamilyHousingParkingLotTotal0.030.010.240.10<0.0050.02Ï0.020.02Ï0.02Ï2732730.02<0.005Ï273Source 4.3.AreaEmissionsbySource 4.3.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) Ï Ï Ï Ï Ï Ï Ï SingleFamilyResidenceDetailedReport,11/13/2024 Ï Ï 31 /52 Ï Ï Ï Ï Ï Ï Ï Ï Ï5.605.60ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.450.45ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.700.670.077.61<0.005<0.005Ï<0.005<0.005Ï<0.005Ï20.320.3<0.005<0.005Ï20.4ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ5.605.60ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.450.45ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.021.02ÏÏ ÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Summer(Max)Hearths38.835.02.7868.10.179.57Ï9.579.39Ï9.391,2552,3983,6533.740.05Ï3,761ConsumerProductsArchitecturalCoatingsLandscapeEquipmentTotal45.641.72.8575.80.179.57Ï9.579.39Ï9.391,2552,419 3,6743.740.05Ï3,781Daily,Winter(Max)Hearths38.835.02.7868.10.179.57Ï9.579.39Ï9.391,2552,3983,6533.740.05Ï3,761ConsumerProductsArchitecturalCoatingsTotal44.941.12.7868.10.179.57Ï9.579.39Ï9.391,2552,39 83,6533.740.05Ï3,761AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏHearths0.490.440.030.85<0.0050.12Ï0.120.12Ï0.1214.227.241.40.04<0.005Ï42.6ConsumerProducts ÏCO2e ÏR ÏN2O ÏCH4 ÏCO2T ÏNBCO2 ÏBCO2 SingleFamilyResidenceDetailedReport,11/13/2024 ÏPM2.5T ÏPM2.5D 32 /52 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx 0.08ROG 0.080.090.080.010.95<0.005<0.005Ï<0.005<0.005Ï<0.005Ï2.302.30<0.005<0.005Ï2.31TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ9.641581671.000.03Ï200ÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ9. 641581671.000.03Ï200ÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00 ArchitecturalLandscapeEquipmentTotal1.681.620.041.80<0.0050.12Ï0.120.12Ï0.1214.229.543.70.04<0.005Ï45.0LandUseDaily,Summer(Max)SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏ9.641581671.000.03Ï200Daily ,Winter(Max)SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏ9.641581671.000.03Ï200AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 4.4.WaterEmissionsbyLandUse 4.4.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) 33.1CO2e ÏR <0.005N2O 0.17CH4 27.7CO2T 26.1NBCO2 1.60BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 ÏPM2.5T ÏPM2.5D 33 /52 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx ÏROG ÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï375ÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï375ÏÏÏÏÏÏÏÏÏÏÏ0.000.000. 000.000.00Ï0.00 SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏ1.6026.127.70.17<0.005Ï33.1LandUseDaily,Summer(Max)SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï375Daily,Winter(Max)SingleFamilyHousing ParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏ1070.0010710.70.00Ï375AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 4.5.WasteEmissionsbyLandUse 4.5.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) 62.1CO2e ÏR 0.00N2O 1.77CH4 17.8CO2T 0.00NBCO2 17.8BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 ÏPM2.5T ÏPM2.5D 34 /52 ÏPM2.5E ÏPM10T ÏPM10D ÏPM10E ÏSO2 ÏCO ÏNOx ÏROG ÏÏÏÏÏÏÏÏÏÏÏÏ0.000.000.000.000.00Ï0.00TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.871.87ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.871.87ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.310.31 SingleFamilyHousingParkingLotTotalÏÏÏÏÏÏÏÏÏÏÏ17.80.0017.81.770.00Ï62.1LandUseDaily,Summer(Max)SingleFamilyHousingTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ1.871.87Daily,Winter(Max)SingleFamilyHousingTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 1.871.87AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSingleFamilyHousingTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ0.310.31 4.6.RefrigerantEmissionsbyLandUse 4.6.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2eCO2e RR N2ON2O CH4CH4 CO2TCO2T NBCO2NBCO2 BCO2BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5TPM2.5T PM2.5DPM2.5D 35 /52 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx ROGROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ EquipmentTypeDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏEquipmentTypeDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily, Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 4.7.OffroadEmissionsByEquipmentType 4.7.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.8.StationaryEmissionsByEquipmentType 4.8.1.UnmitigatedCr iteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) CO2eCO2e RR N2ON2O CH4CH4 CO2TCO2T NBCO2NBCO2 BCO2BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 PM2.5TPM2.5T PM2.5DPM2.5D 36 /52 PM2.5EPM2.5E PM10TPM10T PM10DPM10D PM10EPM10E SO2SO2 COCO NOxNOx ROGROG TOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ AnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏEquipmentTypeDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏVegetationDa ily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 4.9.UserDefinedEmissionsByEquipmentType 4.9.1.UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.10.SoilCarbonAccumulationByVegetationType 4.10.1.SoilCarbonAccumulationByVegetationType-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) ÏCO2eCO2e ÏRR ÏN2ON2O ÏCH4CH4 ÏCO2TCO2T ÏNBCO2NBCO2 ÏBCO2BCO2 SingleFamilyResidenceDetailedReport,11/13/2024 ÏPM2.5TPM2.5T ÏPM2.5DPM2.5D 37 /52 ÏPM2.5EPM2.5E ÏPM10TPM10T ÏPM10DPM10D ÏPM10EPM10E ÏSO2SO2 ÏCOCO ÏNOxNOx ÏROGROG ÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTOGÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ Daily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏTotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏLandUseDaily,Summer(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)TotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏT otalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSpeciesDaily,Summer(Max)AvoidedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSequestered 4.10.2.AboveandBelowgroundCarbonAccumulationbyLandUseType-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual)4.10.3.AvoidedandSequesteredEmissionsbySpe cies-UnmitigatedCriteriaPollutants(lb/dayfordaily,ton/yrforannual)andGHGs(lb/dayfordaily,MT/yrforannual) SingleFamilyResidenceDetailedReport,11/13/2024 38 /52 ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ SubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏRemovedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏDaily,Winter(Max)AvoidedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSequesteredSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏRemovedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ ÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAnnualÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏAvoidedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏSequesteredSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏRemovedSubtotalÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ 5.ActivityData LoadFactor PhaseDescription Horsepower WorkDaysperPhase SingleFamilyResidenceDetailedReport,11/13/2024 HoursPerDay DaysPerWeek NumberperDay 39 /52 EndDate EngineTier StartDate FuelTypeDieselAverage1.008.0033.00.73DieselAverage4.008.0084.00.37DieselAverage2.008.0084.00.37 PhaseType EquipmentTypeSawshoeshoes PhaseNameDemolitionDemolition1/1/20263/12/20265.0050.0ÏSitePreparationSitePreparation3/13/20264/24/20265.0030.0ÏGradingGrading4/25/20268/8/20265.0075.0ÏBuildingConstructionBuildingConstruction8/9/202 66/10/20295.00740ÏPavingPaving6/11/20298/27/20295.0055.0ÏArchitecturalCoatingArchitecturalCoating8/28/202911/13/20295.0055.0ÏPhaseNameDemolitionConcrete/IndustrialDemolitionExcavatorsDieselAverage3.0 08.0036.00.38DemolitionRubberTiredDozersDieselAverage2.008.003670.40SitePreparationRubberTiredDozersDieselAverage3.008.003670.40SitePreparationTractors/Loaders/BackGradingExcavatorsDieselAverage2.008 .0036.00.38GradingGradersDieselAverage1.008.001480.41GradingRubberTiredDozersDieselAverage1.008.003670.40GradingScrapersDieselAverage2.008.004230.48GradingTractors/Loaders/BackBuildingConstructionCra nesDieselAverage1.007.003670.29BuildingConstructionForkliftsDieselAverage3.008.0082.00.20BuildingConstructionGeneratorSetsDieselAverage1.008.0014.00.74 5.1.ConstructionSchedule5.2.Off-RoadEquipment 5.2.1.Unmitigated VehicleMix SingleFamilyResidenceDetailedReport,11/13/2024 MilesperTrip 40 /52 One-WayTripsperDay TripTypeÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏÏ BuildingConstructionTractors/Loaders/BackDieselAverage3.007.0084.00.37BuildingConstructionWeldersDieselAverage1.008.0046.00.45PavingPaversDieselAverage2.008.0081.00.42PavingPavingEquipmentDieselAvera ge2.008.0089.00.36PavingRollersDieselAverage2.008.0036.00.38ArchitecturalCoatingAirCompressorsDieselAverage1.006.0037.00.48PhaseNameDemolitionDemolitionWorker15.018.5LDA,LDT1,LDT2DemolitionVendorÏ10. 2HHDT,MHDTDemolitionHauling0.0020.0HHDTDemolitionOnsitetruckÏÏHHDTSitePreparationSitePreparationWorker17.518.5LDA,LDT1,LDT2SitePreparationVendorÏ10.2HHDT,MHDTSitePreparationHauling0.0020.0HHDTSitePre parationOnsitetruckÏÏHHDTGradingGradingWorker20.018.5LDA,LDT1,LDT2GradingVendorÏ10.2HHDT,MHDTGradingHauling0.0020.0HHDTGradingOnsitetruckÏÏHHDTBuildingConstructionBuildingConstructionWorker48.218.5LD A,LDT1,LDT2 5.3.ConstructionVehicles 5.3.1.Unmitigated ParkingAreaCoated(sqft)AcresPaved(acres) Non-ResidentialExteriorAreaCoated(sqft)MaterialDemolished(sq.ft.) SingleFamilyResidenceDetailedReport,11/13/2024 Non-ResidentialInteriorAreaCoated(sqft)AcresGraded(acres) 41 /52 ResidentialExteriorAreaCoated(sqft)MaterialExported(cy) ÏÏÏÏ ResidentialInteriorAreaCoated(sqft)MaterialImported(cy) BuildingConstructionVendor14.310.2HHDT,MHDTBuildingConstructionHauling0.0020.0HHDTBuildingConstructionOnsitetruckÏÏHHDTPavingÏÏÏÏPavingWorker15.018.5LDA,LDT1,LDT2PavingVendorÏ10.2HHDT,MHDTPavingHauli ng0.0020.0HHDTPavingOnsitetruckÏÏHHDTArchitecturalCoatingArchitecturalCoatingWorker9.6518.5LDA,LDT1,LDT2ArchitecturalCoatingVendorÏ10.2HHDT,MHDTArchitecturalCoatingHauling0.0020.0HHDTArchitecturalCoa tingOnsitetruckÏÏHHDTPhaseNameArchitecturalCoating529,133176,3780.000.003,152PhaseNameDemolition0.000.000.00ÏÏ 5.4.Vehicles 5.4.1.ConstructionVehicleControlStrategies Non-applicable.Nocontrolstrategiesactivatedbyuser.5.5.ArchitecturalCoatings5.6.DustMitigation 5.6.1.ConstructionEarthmovingActivities VMT/Year N2O VMT/Sunday %AsphaltVMT/Saturday SingleFamilyResidenceDetailedReport,11/13/2024 CH4 VMT/Weekday 42 /52 Trips/Year CO2 AreaPaved(acres)Trips/Sunday Trips/Saturday kWhperYear Trips/Weekday SitePreparationÏÏ45.00.00ÏGradingÏÏ2250.00ÏPaving0.000.000.000.002.68LandUseSingleFamilyHousing1.480%ParkingLot1.21100%Year20260.005320.03<0.00520270.005320.03<0.00520280.005320.03<0.00520290.005320. 03<0.005LandUseTypeTotalallLandUses0.000.000.000.000.000.000.000.00 5.6.2.ConstructionEarthmovingControlStrategies Non-applicable.Nocontrolstrategiesactivatedbyuser.5.7.ConstructionPaving5.8.ConstructionElectricityConsumptionandEmissionsFactors kWhperYearandEmissionF actor(lb/MWh)5.9.OperationalMobileSources 5.9.1.Unmitigated 5.10.OperationalAreaSources ParkingAreaCoated(sqft) Value SingleFamilyResidenceDetailedReport,11/13/2024 Non-ResidentialExteriorAreaCoated(sqft) Unmitigated(number)Ï7114001370 43 /52 Non-ResidentialInteriorAreaCoated(sqft) Unit ResidentialExteriorAreaCoated(sqft) HearthTypeSingleFamilyHousingWoodFireplacesGasFireplacesPropaneFireplacesElectricFireplacesNoFireplacesConventionalWoodStoves0CatalyticWoodStovesNon-CatalyticWoodStoves7PelletWoodStovesResidentialInt eriorAreaCoated(sqft)529132.5176,3780.000.003,152SeasonSnowDaysday/yr0.00SummerDaysday/yr250 5.10.1.Hearths5.10.1.1.Unmitigated5.10.2.ArchitecturalCoatings5.10.3.LandscapeEquipment 5.11.OperationalEnergyConsumption 5.11.1.Unmitigated TimesServiced NaturalGas(kBTU/yr) ServiceLeakRate N2OOutdoorWater(gal/year)Cogeneration(kWh/year) SingleFamilyResidenceDetailedReport,11/13/2024 OperationsLeakRate CH4Quantity(kg) 44 /52 GWP CO2IndoorWater(gal/year)Waste(ton/year) RefrigerantR-410A2,088<0.0052.502.5010.0R-134a1,4300.120.600.001.00 Electricity(kWh/yr) EquipmentTypeOtherresidentialA/Candheatpumpsrefrigeratorsand/orfreezers LandUseSingleFamilyHousing923,9493460.03300.00405,136,936ParkingLot46,0193460.03300.00400.00LandUseSingleFamilyHousing5,028,43724,861,959ParkingLot0.00ÏLandUseSingleFamilyHousing199ÏParkingLot0.00ÏLa ndUseTypeSingleFamilyHousingAverageroomA/C&SingleFamilyHousingHousehold Electricity(kWh/yr)andCO2andCH4andN2OandNaturalGas(kBTU/yr)5.12.OperationalWaterandWastewaterConsumption 5.12.1.Unmitigated 5.13.OperationalWasteGeneration 5.13.1.Unmitigated 5.14.OperationalRefriger ationandAirConditioningEquipment 5.14.1.Unmitigated LoadFactorLoadFactor AnnualHeatInput(MMBtu/yr) FinalAcres HorsepowerHorsepower DailyHeatInput(MMBtu/day)FinalAcres SingleFamilyResidenceDetailedReport,11/13/2024 HoursPerDayHoursperYear BoilerRating(MMBtu/hr)FuelTypeInitialAcres 45 /52 NumberperDayHoursperDay NumberInitialAcres EngineTierNumberperDay VegetationSoilType FuelType FuelTypeFuelType EquipmentTypeEquipmentTypeEquipmentTypeEquipmentTypeVegetationLandUseTypeBiomassCoverType 5.15.OperationalOff-RoadEquipment 5.15.1.Unmitigated 5.16.StationarySources 5.16.1.EmergencyGeneratorsandFirePumps5.16.2.ProcessBoilers 5.17.UserDefined5.18.Vegetation 5.18.1.LandUseChange5.18.1.1.Un mitigated5.18.1.BiomassCoverType5.18.1.1.Unmitigated VulnerabilityScore .7miles(mi)by3.7mi. ouldbelighttomoderaterainfallif etal.,2017,CEC-500-2017-008),and derRCP8.5),andconsiderhistoricaldata rise,0.5meter,1.0meter,1.41meters oncentrationPathway(RCP)8.5which Averageconditions(CanESM2),Rangeof ymaximum/minimumtemperaturesfrom ialwildfireprobabilitiesforthegridcell.The ncrementsofsealevelrisecoupledwith NaturalGasSaved(btu/year) Unit SingleFamilyResidenceDetailedReport,11/13/2024 AdaptiveCapacityScore ElectricitySaved(kWh/year) 46 /52 SensitivityScore ResultforProjectLocation Number ExposureScore100N/A TreeTypeClimateHazardTemperatureandExtremeHeat9.03annualdaysofextremeheatExtremePrecipitation3.50annualdayswithprecipitationabove20mmSeaLevelRiseÏmetersofinundationdepthWildfire1.31annualhectaresburn edClimateHazardTemperatureandExtremeHeatExtremePrecipitationN/AN/AN/AN/ASeaLevelRise100N/A 5.18.2.Sequestration5.18.2.1.Unmitigated 6.ClimateRiskDetailedReport 6.1.ClimateRiskSummary Cal-Adaptmidcentury2040Î2059averageprojectionsforfourhazardsarereportedbelowforyourprojectlocation.Theseare underRepresentationCassumesGHGemissionswillcontinuetorisestronglythrough2050andthenplateauaround2100.TemperatureandExtremeHeatdataareforgridcellinwhichyourprojectarelocated.Theprojectionisbasedonthe9 8thhistoricalpercentileofdailobservedhistoricaldata(32climatemodelensemblefromCal-Adapt,2040Î2059averageunderRCP8.5). Eachgridcellis6kilometers(km)by6km,or3ExtremePrecipitationdataareforthegridcellin whichyourprojectarelocated.Thethresholdof20mmisequivalenttoabout¾aninchofrain,whichwreceivedoverafulldayorheavyrainifreceivedoveraperiodof2to4hours.Eachgridcellis6kilometers(km)by6km,or3.7miles(mi)by 3.7mi.SeaLevelRisedataareforthegridcellinwhichyourprojectarelocated.TheprojectionsarefromRadkeetal.(2017),asreportedinCal-Adapt(RadkeconsiderinundationlocationanddepthfortheSanFranciscoBay,theSacrame nto-SanJoaquinRiverDeltaandCaliforniacoastresultingdifferentiextremestormevents.Usersmayselectfromfourscenariostoviewtherangeinpotentialinundationdepthforthegridcell.Thefourscenariosare:NoWildfiredat aareforthegridcellinwhichyourprojectarelocated.TheprojectionsarefromUCDavis,asreportedinCal-Adapt(2040Î2059averageunofclimate,vegetation,populationdensity,andlarge(>400ha)firehistory.Usersmayselectfr omfourmodelsimulationstoviewtherangeinpotentfoursimulationsmakedifferentassumptionsaboutexpectedrainfallandtemperatureare:Warmer/drier(HadGEM2-ES),Cooler/wetter(CNRM-CM5),differentrainfallandtemperat urepossibilities(MIROC5).Eachgridcellis6kilometers(km)by6km,or3.7miles(mi)by3.7mi.6.2.InitialClimateRiskScores VulnerabilityScore 1to5,withascoreof5representingthe1to5,withascoreof5representingthe udeimplementationofclimateriskreduction plementationofclimateriskreduction tedonascaleof1to5,withascoreof5tedonascaleof1to5,withascoreof5 SingleFamilyResidenceDetailedReport,11/13/2024 AdaptiveCapacityScore 47 /52 SensitivityScore 100N/A000N/AExposureScore111211121112 WildfireFloodingN/AN/AN/AN/ADroughtN/AN/AN/AN/ASnowpackReductionN/AN/AN/AN/AAirQualityDegradationClimateHazardTemperatureandExtremeHeatExtremePrecipitationN/AN/AN/AN/ASeaLevelRise1112WildfireFlooding N/AN/AN/AN/ADroughtN/AN/AN/AN/ASnowpackReductionN/AN/AN/AN/AAirQualityDegradation Thesensitivityscorereflectstheextenttowhichaprojectwouldbeadverselyaffectedbyexposuretoaclimatehazard.Exposureisratedonascaleofgreatestexposure.Theadaptivecapacityofaprojectreferstoitsabilitytomanage andreducevulnerabilitiesfromprojectedclimatehazards.Adaptivecapacityisrarepresentingthegreatestabilitytoadapt.Theoverallvulnerabilityscoresarecalculatedbasedonthepotentialimpactsandadaptivecapacityas sessmentsforeachhazard.Scoresdonotinclmeasures.6.3.AdjustedClimateRiskScores Thesensitivityscorereflectstheextenttowhichaprojectwouldbeadverselyaffectedbyexposuretoaclimatehazard.Exposureisratedonasc aleofgreatestexposure.Theadaptivecapacityofaprojectreferstoitsabilitytomanageandreducevulnerabilitiesfromprojectedclimatehazards.Adaptivecapacityisrarepresentingthegreatestabilitytoadapt.Theoverallvu lnerabilityscoresarecalculatedbasedonthepotentialimpactsandadaptivecapacityassessmentsforeachhazard.Scoresincludeimmeasures.6.4.ClimateRiskReductionMeasures 7.HealthandEquityDetails estate. SingleFamilyResidenceDetailedReport,11/13/2024 ResultforProjectCensusTractÏ57.073.578.346.577.70.0087.544.2Ï94.80.000.0066.7Ï55.545.888.097.988.796.992.849.9 48 /52 IndicatorExposureIndicatorsAQ-OzoneAQ-PMAQ-DPMDrinkingWaterLeadRiskHousingPesticidesToxicReleasesTrafficEffectIndicatorsCleanUpSitesGroundwaterHazWasteFacilities/Generators86.4ImpairedWaterBodiesSoli dWasteSensitivePopulationAsthmaCardio-vascularLowBirthWeightsSocioeconomicFactorIndicatorsÏEducationHousingLinguisticPovertyUnemployment 7.1.CalEnviroScreen4.0Scores ThemaximumCalEnviroScreenscoreis100.Ahighscore(i.e.,greaterthan50)reflectsahigherpollutionburdencomparedtoothercensustractsinth actsinthestate. SingleFamilyResidenceDetailedReport,11/13/2024 ResultforProjectCensusTractÏ5.4151161349.839599645.838573078Ï10.6120877710045.81034262Ï2.66906197993.17336071Ï61.863210574.401385859Ï16.2710124535.8141922296.3557038494.2512511220.51841396Ï5.80007699 24.516874118 49 /52 IndicatorEconomicAbovePovertyEmployedMedianHIEducationBachelor'sorhigherHighschoolenrollmentPreschoolenrollmentTransportationAutoAccessActivecommutingSocial2-parenthouseholdsVotingNeighborhoodAlcohol availabilityParkaccessRetaildensitySupermarketaccessTreecanopyHousingHomeownershipHousinghabitabilityLow-inchomeownerseverehousingcostburden15.57808289Low-increnterseverehousingcostburden43.07712049 7.2.HealthyPlacesIndexScores ThemaximumHealthPlacesIndexscoreis100.Ahighscore(i.e.,greaterthan50)reflectshealthiercommunityconditionscomparedtoothercensustr SingleFamilyResidenceDetailedReport,11/13/2024 1.680995765Ï1.86064416854.349.458.087.614.811.995.739.745.17.314.819.994.317.3Ï57.09.30.00.0 50 /52 UncrowdedhousingHealthOutcomesInsuredadultsArthritisAsthmaERAdmissionsHighBloodPressureCancer(excludingskin)AsthmaCoronaryHeartDisease23.5ChronicObstructivePulmonaryDisease17.9DiagnosedDiabetesLifeEx pectancyatBirthCognitivelyDisabledPhysically DisabledHeartAttackERAdmissions78.5MentalHealthNotGoodChronicKidneyDiseaseObesityPedestrianInjuriesPhysicalHealthNotGood7.3StrokeHealthRiskBehaviorsBingeD rinkingCurrentSmokerNoLeisureTimeforPhysicalActivity3.2ClimateChangeExposuresÏWildfireRiskSLRInundationArea tractsinthestate. thestate. SingleFamilyResidenceDetailedReport,11/13/2024 0.569.31.393.321.655.323.0Ï96.6Ï31.1ResultforProjectCensusTract 51 /52 ChildrenElderlyEnglishSpeakingForeign-bornOutdoorWorkersClimateChangeAdaptiveCapacityÏImperviousSurfaceCover11.1TrafficDensityTrafficAccessOtherIndicesHardshipOtherDecisionSupport2016VotingMetricCalE nviroScreen4.0ScoreforProjectLocation(a)90.0HealthyPlacesIndexScoreforProjectLocation(b)12.0ProjectLocatedinaDesignatedDisadvantagedCommunity(SenateBill535)YesProjectLocatedinaLow-IncomeCommunity(Ass emblyBill1550)YesProjectLocatedinaCommunityAirProtectionProgramCommunity(AssemblyBill617)No 7.3.OverallHealth&EquityScores a:ThemaximumCalEnviroScreenscoreis100.Ahighscore(i.e.,greaterthan50)reflectsahigherpollutionburdencomparedtoothercensustractsinb:ThemaximumHealthPlacesIndexscoreis100.A highscore(i.e.,greaterthan50)reflectshealthiercommunityconditionscomparedtoothercensus 7.4.Health&EquityMeasures NoHealth&EquityMeasuresselected.7.5.EvaluationScorecard Health&EquityEvaluationScoreca rdnotcompleted. SingleFamilyResidenceDetailedReport,11/13/2024 JustificationAsperAirbnbanalyticsdata 52 /52 ScreenLandUse 7.6.Health&EquityCustomMeasures NoHealth&EquityCustomMeasurescreated.8.UserChangestoDefaultData MEMO To File From Stefanie OÓGorman Subject ECONOMICS ANALYSIS OF SHORT-TERM RENTAL REGULATION Ramboll Americas Engineering Solutions, Inc. (Ramboll) evaluated possible Date November , 2024 consequences of a potential ban on short-term rentals in Santa Ana, California. This report was completed Stefanie OÓGorman, an environmental economist with 23 years experience in her field. Stefanie specializes in the integration of costs and benefits within decision making and has worked across the spectrum from policy design and development to project and infrastructure delivery. She has acted as an expert witness in a number of planning related enquiries in the UK and Ireland relating to water regulation, marine infrastructure planning and Ramboll 250 Montgomery St., transport related projects, focusing on the economic and socio-economic impacts Suite 1200 San Francisco, of these developments. CA 94104 US USA EDUCATION/QUALIFICATION T+1 510 655 7400 MSc Ecological Economics, University of Edinburgh, 2001 F+1 510 655 9517 BA (Mod) Natural Science, Trinity College Dublin, 1999 https://ramboll.com Based on professional experience and judgment, this analysis assumes a reasonably foreseeable potential that: 1.A ban on STR will spur new hotel development and, as a result of increased demand on local hotels, local hotel availability will go down and room rates will go up. 2.Result of (1), people will be forced to travel further to find available or affordable hotel rooms. Theses assumptions are found to be sufficiently supported by evidence or that insufficient evidence is available to reject them, as outlined here. Introduction Santa Ana, the largest city in Orange County at 27.2 square miles and 1 home to nearly 328,000 residents, is a rich cultural, culinary, and entertainment hub with deep historical roots. As the county seat, it 1 https://www.orangecounty.net/cities/SantaAna.html 1/5 blends vibrant city life with a preserved historic core. Visitors can explore a variety of attractions, from the art-filled streets of the Downtown Santa Ana Artwalk to the Bowers 2 MuseumÓs global collections and the Discovery Cube's interactive science exhibits. The cityÓs distinctive neighborhoods offer everything from historic architecture to innovative food markets, and the popular Frida Cinema and Yost Theatre. Tourism is a cornerstone of Santa Ana's economy, driving substantial revenue and job creation for the community. In 2023, visitor spending alone contributed an impressive 3 $414.7 million to the local economy , an increase of over 9% compared to the previous year. This spending supports local businesses and fuels sectors like food service, accommodations, retail, arts, and transportation. Food service alone saw $109 million from visitor spending, with accommodations adding another $107 million, and arts, entertainment, and recreation generating $81.5 million. These visitor expenditures provide essential funding for city services like public safety, parks, and neighborhood improvements, while also alleviating the tax burden for residentsÏwithout tourism-related tax revenue, each household would pay an additional $195 annually in local taxes. TourismÓs impact on employment is equally significant, supporting nearly 3,000 jobs in Santa Ana and contributing around $137 million in wages to the local workforce. With continued growth in overnight visits and local attractions, tourism remains a vital industry that helps sustain the communityÓs economic well-being and enhance residentsÓ quality of life. 1. How a ban on STR could spur new hotel development and impact demand and room rates Orange CountyÓs STR occupancy was 72% on a year-to-date basis and RevPAR was $151 and its hotels also maintain a high 77% occupancy rate and an ADR of $196.59, which underscores the regionÓs strong demand. High occupancy figures are seen in all months Î with only January falling below 70%. Orange CountyÓs hotel room demand showed a 5% year-over-year growth, highlighting its popularity within the state. Based on AirDna data, Santa Ana's appears to have or had up to approximately 2,180 STR listings (approximately 79% of which are Airbnb listings), with a current occupancy rate of 53%. This is approximately 73% for Airbnb rentals, for which there appear to be 45 approximately 1,100 active STR listings. STRs generate substantial revenue for hosts 6 (estimated at $43,000 annually per host for Airbnb rentals) with an Average Daily Rate 7 (ADR) of $237.3 . 2 https://www.visitcalifornia.com/places-to-visit/santa-ana/ 3 https://www.travelsantaana.com/about-travel-santa-ana/economic-impact-of- tourism/#:~:text=In%202023%2C%20traveler%20expenditures%20from,in%20local%20and%20state%20tax es. 4 https://www.santa-ana.org/short-term-rentals-ban/ 5 We note that even if the exact amounts of STRs in the City are slightly higher or lower than the approximate values shown here, the conclusions of this report remain consistent regarding the impact of the STR ban on spurring hotel demand and forcing individuals to forced to travel further to find available or affordable hotel rooms. 6 https://airbtics.com/annual-airbnb-revenue-in-santa-ana-california-usa/ 7 https://www.airdna.co/vacation-rental-data/app/us/california/santa-ana/overview 2/5 Accurate data on the size of the whole lodgings market in Santa Ana is not readily available for review, however the number of listings for hotels and motels on www.booking.com and Expedia is not significant, at less than 100. The majority of these properties are 3 star or less. If we assume that the rate of hotel /motels to STRs in Santa Ana is representative of that of Orange Country where the hotel room supply is 61,937 (see table below) and the number of 8 STRs is 10,841 , then STRs would represent 15% of the lodging supply in Santa Ana. However, given the <100 hotels found online, is it considered likely that STRs contribution a significantly higher percentage of the lodging market locally. Forecast summary: Annual, Orange County Hotel room Hotel supply demand Occupancy ADR RevPAR Room revenue (daily) (daily) Levels 2019 58,282 45,141 77.5% $161.94 $125.42 $2,668,166,801 2020 50,463 22,479 44.5% $136.03 $60.59 $1,116,070,720 2021 56,897 32,999 58.0% $167.45 $97.12 $2,016,885,289 2022 60,995 42,663 69.9% $177.02 $123.82 $2,756,556,935 2023 61,590 45,366 73.7% $185.82 $136.87 $3,076,862,904 2024 61,937 47,723 77.1% $196.59 $151.48 $3,424,409,154 Growth 2020 -13.4% -50.2% -42.5% -16.0% -51.7% -58.2% 2021 12.7% 46.8% 30.2% 23.1% 60.3% 80.7% 2022 7.2% 29.3% 20.6% 5.7% 27.5% 36.7% 2023 1.0% 6.3% 5.3% 5.0% 10.5% 11.6% 2024 0.6% 5.2% 4.6% 5.8% 10.7% 11.3% Relative to 2019 2020 87% 50% 58% 84% 48% 42% 2021 98% 73% 75% 103% 77% 76% 2022 105% 95% 90% 109% 99% 103% 2023 106% 100% 95% 115% 109% 115% 2024 106% 106% 99% 121% 121% 128% Source: STR; Tourism Economics The minimum stay durations data for short-term rentals in Santa Ana varies. AirDna data suggests that half of the stock has a minimum stay of under 30 days. This data appears to be 2023 data and to relate to their estimate of 2,000+ STR listing in that data source. Therefore, it is not possible at this stage to tell how many of the City Council estimated 8 https://www.keydatadashboard.com/en-gb/markets/orange-county-california 3/5 1,100 listings would be impacted by designated for shorter stays, but it could be as high as 100%. STR Listings by Minimum Stay in Santa Ana 0.0%10.0%20.0%30.0%40.0%50.0%60.0% 30+ Nights7-29 Nights4-6 Nights3 Nights2 Nights1 Night Source: https://www.airdna.co/vacation-rental-data/app/us/california/santa-ana/overview With STRs accommodating a significant portion of the lodging market, their removal would leave a considerable gap in available accommodations, which the existing hotel infrastructure is unlikely to be able to fully absorb given Orange County's occupancy rates were already at 77% in September 2024 (California Travel Forecast Î October 2024). Effects of a Ban on STR on Local Hotel Demand, Room Rates, and Availability Eliminating STRs is likely to intensify demand for hotel accommodations, which would reduce availability and drive up average daily rates (ADR). Orange County's ADR is already 9 high, at $209.14 (see table below) (192$ in Santa Ana ), and Santa AnaÓs hotel market is part of this broader region where occupancy and room rates reflect high demand, particularly near attractions. With STRs contributing substantial capacity, the ban would further stress local hotels, as noted above likely leading to increased ADR due to scarcity. The 7.1% year-on-year increase in Revenue Per Available Room (RevPAR) in Orange County indicates a strong market with limited room for new capacity; hence, shifting demand from STRs to hotels would almost certainly lead to higher room rates, potentially pushing them beyond the reach of budget-conscious travelers. Year to Date - September 2024 vs September 2023 Short Term Rentals Occ % ADR RevPAR 2024 2023 2024 2023 2024 2023 California 68.0 68.4 190.57 192.15 129.60 131.41 Orange County 72.1 72.0 209.14 210.91 150.74 151.91 9 https://rabbu.com/airbnb-data/santa-ana-ca * https://www.airdna.co/vacation-rental-data/app/us/california/santa-ana/overview 4/5 2. Travel Displacement and Need to Seek Affordable Lodging Elsewhere: Rising hotel rates and limited availability could push some visitors to look for more affordable accommodations in nearby cities. With the increased demand and rising prices in Santa AnaÓs hotel sector, neighboring areas like Anaheim or Irvine may absorb some of the overflow but would also likely experience upward rate pressure, creating a ripple effect across Orange County. Given that Orange CountyÓs occupancy was 72% on a year-to-date basis and RevPAR was $151 and shows high occupancy figures in all months Î with only January falling below 70%, hotels in adjacent areas to Santa Ana are likely to be at full capacity during peak 10 seasons, especially July, or major events. As a result, tourists may find themselves traveling farther for budget-friendly lodging, potentially discouraging some visitors from choosing Santa Ana altogether. In addition, group room demand in California was up a robust 7% relative to September 2023. Orange County saw this increase by 35% year on year for the month of September 11 2024. This strong local growth in demand is reflected by the fact that approximately 650 of 12 the AirBNB listing in Santa Ana are for 2+bedrooms, so suitable for groups . The loss of this accommodation type may not be easily substituted within the existing local supply, which could, as a result, spurn additional local development. The available evidence and analysis allows a reasonable conclusion to be drawn that in the short term visitors will be pushed away from Santa Ana due to occupancy restrictions and increased rates, and in the longer term these constraints could result in new hotel capacity development. 10 https://rabbu.com/airbnb-data/santa-ana-ca 11 https://industry.visitcalifornia.com/research/report/monthly-travel-indicators-summary 12 Santa Ana, Airbnb Market Statistics & Data, United States 5/5