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Mr. Chase Villaf-ana <br />September 1, 2015 <br />Page 6 <br />shared parking approach illustrates how, at other than peak parking demand times, an <br />increasing surplus of spaces will service the overall needs of the center. <br />Key inputs in the shared parking analysis for each land use include: <br />• Peak parking demand by land use for visitors and employees. <br />• Adjustrncnts for alternative modes- of transportation, if applieahle. <br />• Adjustment for internal capture (captive versus non - captive parking demand), <br />if applicable. <br />• Hourly variations of parking demand. <br />• Weekday versus weekend adjustment factors. <br />• Monthly adjustment factors to account for variations ofparking demand over <br />the year. <br />• City of Santa Ana Parking Ratios outlined in Chopler {I — Zoning, Artiele A'K <br />Off- Snreet Parking of the City of Santa Ana Municipal Code. <br />Please note that for this analysis, no monthly adjustment factors to account for variations <br />of parking demand over the year and no alternative modes of transportation or internal <br />capture adjustment factors were applied to provide a conservative parking demand <br />forecast. <br />Shared Parking Ratios and Profiles <br />The hourly parking demand profiles (expressed in percent of peak demand) utilized in <br />this analysis and applied to the PacifiCenter are based on profiles developed by the <br />Urban Land Institute (ULI) and published in Shared Parking, 2 "`r Edition. The ULI <br />publication presents hourly parking demand profiles for four (4) general land use <br />categories: retail, family restaurant, fast -food restaurant and fitness center. The UIJ <br />profiles of parking demand have been used directly, by land use type, in tine analysis <br />of this site and are applied to the City's applicable parking ratio, with the exception of <br />the fitness club /health club. <br />The ULI retail use. profiles are applied directly to the existing Home Depot. In doing <br />so, there is an intermediate step in expressing ULI profiles as a percentage of the <br />week -long peals, thus arriving at a weekday profile and weekend profile each <br />expressed as a percentage of the baseline parking ratio (ULI actually starts with <br />separate ratios for weekday and weekend day, and develops profiles for each <br />accordingly; we've found it more convenient to translate both profiles to a percent of <br />expected maximum demand, which, for retail, turns out to be on a Satm•day). The <br />resulting profiles represent the most likely hourly parking demand profile, and are <br />applied to the City's retail parking ratio of 5 spaces per 1000 SP of floor area. Peak <br />31A-25 <br />