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12-11-17 PC PACKET
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12-11-17 PC PACKET
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<br />2-2 <br /> <br />2.2 Shared Parking Analysis <br />For this analysis, RK has used procedures developed by the Urban Land Institute <br />(ULI) from their most recent publication, Shared Parking, Second Edition. This <br />document contains the latest procedures and data with respect to parking demand <br />and shared parking. The shared parking analysis utilizes the parking demand rates <br />from the City of Santa Ana Municipal Parking Code in conjunction with the ULI <br />shared parking methodology to determine the forecast hourly accumulation of <br />parking demand for the project site. <br />The ULI shared parking analysis accounts for the types of land uses, the monthly <br />variations of parking demand by land use, differences between weekday and <br />weekend parking demand, the hourly distribution of peak parking demand for each <br />type of land use, and captive versus non-captive parking demand within the project <br />site. <br />The parking demand for each proposed land use was estimated using the City of <br />Santa Ana’s Municipal Parking Code for that individual land use. Furthermore, each <br />month of the year was evaluated and the peak parking demand for both weekdays <br />and weekends was determined utilizing data contained in the ULI Shared Parking, <br />Second Edition, publication and the operational characteristics of the proposed land <br />uses within the site. <br />The ULI-developed computer model and spreadsheet was used to analyze overall <br />forecast parking demand at the project site. The ULI computer model and <br />spreadsheet is consistent with the procedures included in the ULI Shared Parking, <br />Second Edition publication. <br />The ULI analysis model accounts for the following parameters: <br />1. City of Santa Ana Municipal Parking Code and Rates for each individual use. <br />2. Peak parking demand by land use for visitors and employees. <br />3. Hourly Variations of parking demand. <br />4. Weekday versus weekend adjustment factor. <br />5-43
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