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Mr. Gregg Berwin <br />June 9, 2014 <br />Page 7 <br />Approximately 95% of shopping center customers and restaurant patrons were conservatively <br />assumed to arrive by vehicle and approximately 5% of shopping center and restaurant customers <br />were assumed to use alternate means of travel. Approximately 80% of employees at MPM were <br />conservatively assumed to arrive by vehicle and approximately 20% to utilize alternate means of <br />travel (transit, dropped off, etc). Cinema patrons were not assumed to utilize alternate means of <br />travel; therefore, the base assumption was applied to the cinema. <br />Captive Market. It is common that mixed -use projects have patrons /visitors captured within the <br />site itself and, based on the mixture of land uses at MPM, the non - captive ratios were adjusted <br />during the calibration process. The non - captive ratio for the restaurant and the cinema uses was <br />adjusted to 75% during the weekdays and weekends. Approximately 75% of restaurant and <br />cinema patrons will specifically drive to MPM for the restaurants and cinema and will not visit any <br />other land use on -site. The remaining 25% of the restaurant and cinema patrons will be customers <br />of the other uses within MPM. This is consistent with non - captive ratios for restaurants and <br />cinemas within regional shopping centers. <br />As described above, the bowling alley parking demand is comprised of two components: the <br />primary bowling alley use and the ancillary entertainment use. A non - captive adjustment was not <br />applied to the primary bowling use; however, the ancillary entertainment use conservatively <br />assumed a 50% non - captive ratio consistent with its intended purpose. This effectively assumes <br />that 50% of the entertainment - related parking demand is generated by patrons /visitors of the <br />bowling alley; conversely, approximately 50% of the patrons /visitors will specifically drive to MPM <br />for those entertainment uses. <br />These assumptions are consistent with other shopping centers with similar land uses and <br />activities. <br />Model Calibration <br />As described above, a shared parking model was prepared for MPM and adjusted to reflect the <br />surveyed occupancy based on the occupied floor area. Tables 3A and 3B summarize the results <br />of the model calibration and Figures 2A — 2C graphically illustrate the parking occupancy pattern <br />over the course of a year (assuming the same amount of active floor area). <br />As indicated in the tables, the peak day parking demand occurs at 3:00 PM on a December <br />weekend day (Saturday) with a demand of 3,954 spaces. The peak weekday demand of 2,436 <br />spaces occurs at 1:00 PM. These peak demands represent the peak hour of the peak day of the <br />peak month under existing conditions, i.e., the highest overall parking demand projected for this <br />amount and combination of land uses. <br />The existing parking supply is able to meet the existing peak parking demands. When compared <br />to the other 11 months, the model indicates that sufficient parking is also available during these <br />non -peak months. Figures 2A and 2B illustrate that a minimum of 1,677 parking spaces are <br />available at any given time on a weekday or weekend from January through November. Figure 2C <br />illustrates the hourly pattern of demand on the peak weekday and weekend. <br />31 C -24 <br />