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Mr. Gregg Berwin <br />June 9, 2014 <br />Page 5 <br />Model Calibration Methodolo <br />Shared Parking, 2nd Edition defined national averages to be used for parking demand rates for <br />various land uses and it suggested ranges of assumptions to be used for transit and internal <br />capture. The methodology, however, stated that the best way to measure the demand at a <br />particular project is to use local data to modify the national averages, so that they reflect local <br />conditions. As the Project proposes to replace existing vacant retail space, a shared parking <br />model can be prepared and calibrated to the actual conditions. <br />Two key data sets were utilized in the model calibration: actual parking utilization data and the <br />amount of existing active floor area. <br />Parking Utilization Data. Parking utilization surveys were performed in May 2014 to evaluate the <br />parking demand characteristics during the off -peak non - holiday period. These surveys were <br />conducted during the peak periods of 11:00 AM to 3:00 PM on Wednesday, May 14, 2014 and <br />12:00 PM to 6:00 PM on Saturday, May 17, 2014. This parking utilization data formed the basis <br />for the existing parking occupancy pattern used for model calibration purposes. The results of the <br />surveys are provided in the Attachment. <br />Existing Active Floor Area. The shared parking model utilizes floor area as the metric to <br />generate parking demand for each land use. Therefore, an accurate inventory of occupied floor <br />area, at the time of the utilization survey, is required for the calibration process. Based on an MPM <br />unit inventory provided by Westfield, approximately 918,710 sf GLA of a total 1,127,836 sf GLA <br />was active in MPM in May 2014. This represents a vacancy level of approximately 19 %. Table 1 <br />summarizes the land use program at MPM in terms of existing and occupied floor area; these <br />occupied floor areas were used to calibrate the parking demand in the model. <br />The model was calibrated using the active floor area data in conjunction with the parking <br />utilization data. The process of calibration begins with the input of the active land uses into the <br />model and generating parking demand estimates, based on the ULI /ICSC database. The next <br />steps involve adjustments to the model factors, in order to have the model mimic the observed <br />parking occupancy pattern. The model adjustment factors are described below. <br />Model Adjustment Factors <br />This discussion explains the adjustment factors available for use in the shared parking model and <br />describes the basis for the adjustment of these factors. <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. The research efforts of ULI /ICSC have yielded a <br />comprehensive data set of time of day factors for multiple land uses. As the demand for each <br />land use fluctuates over the course of the day, the ability to implement shared parking emerges. <br />The time of day factors were adjusted to mimic the observed parking occupancy pattern at <br />MPM. <br />For the future land uses not in the ULI /ICSC database, the time of day factors were researched <br />from the operating hours of similar facilities. <br />31 C -22 <br />