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Ms. Kellee Preston <br />October 17, 2012 <br />Page 4 <br />area, at the time of the utilization survey, is required for the calibration process. The entire center <br />was occupied and usable at the time of the surveys. <br />As described above, the model was calibrated using the existing floor area data in conjunction <br />with the actual parking utilization data. The following floor areas were considered occupied and <br />usable for the calibration: 34,880 sf of exhibit space (includes vestibules, dining areas, light locks, <br />dimmer rooms and any other space open to the public that isn't a restroom or included in the <br />following uses), 9,004 sf of administrative office space, and a 130 -seat theater. The process of <br />calibration begins with the input of the active land uses into the model, which generates parking <br />demand estimates based on the ULI database. The next steps involve adjustments to the model <br />factors, in order to have the model mimic the observed parking occupancy pattern. The model <br />adjustment factors are described below. <br />Parking Demand Ratio. The parking demand ratio is utilized by the model to generate parking <br />demand estimates for the selected land uses. The base rates were developed through ULI's <br />extensive nationwide research efforts. The ULI methodology requires that each land use select <br />parking ratios; that is, the parking ratio for each land use if used independently. While the base <br />rate does represent the typical average use, adjustments to the demand rates may be necessary <br />to achieve calibration to local conditions. <br />The following parking ratios, combined customer and employee spaces, were utilized in the <br />model calibration process: <br />Land Use Normal Peak Ratio <br />Exhibit Space 6.1 spaces /1,000 sf <br />Administrative Office 3.8 spaces /1,000 sf <br />Theater 0.2 spaces /seat <br />Time of Day. The time of day factor is one of the key assumptions of the shared parking <br />model. This factor reveals the hourly parking pattern of the analyzed land use; essentially, the <br />peak demands are indicated by this factor. ULI's research efforts have yielded a comprehensive <br />data set of time of day factors for multiple land uses. As the demand for each land use <br />fluctuates over the course of the day, the ability to implement shared parking emerges. The <br />time of day factors were adjusted to mimic the observed parking occupancy pattern at the <br />existing center. <br />Weekday vs. Weekend. Each shared parking analysis measured the parking demand on a <br />weekday as well as on a weekend day (i.e., Saturday) because different land uses within a mixed - <br />use development have different weekday and weekend parking demand patterns. <br />Mode Split and Captive Market. Two factors that affect the overall parking demand at a <br />particular development are the number of visitors and employees that arrive by automobile and <br />the number of visitors that visit multiple venues within the development. The mode split accounts <br />for the number of visitors and employees that arrive by means other than the automobile (transit, <br />walk, bicycle, taxi, etc.) For purposes of this analysis, no adjustments were considered to account <br />for future changes in mode split. <br />75A -23 <br />