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December 30, 2019 <br />NorthPoint Development Trip Generation Study <br /> <br />14 <br />6) TRUCK TRAFFIC <br /> <br />The percent of truck traffic for NorthPoint Development’s study sites is summarized in Table 12 <br />below. <br /> <br />Table 12: Percent Truck Traffic <br />Building Type Weekday AM PEAK <br />Generator <br />PM PEAK <br />Generator <br />AM PEAK <br />Adj. St. <br />AM PEAK <br />Adj. St. <br />Rear Loading Dock 15% 16% 9% 17% 10% <br />Large Cross Dock 19% 9% 7% 7% 9% <br />Smaller Cross Dock 24% 20% 13% 22% 21% <br />All Cross Dock 22% 16% 10% 15% 14% <br />Overall Aggregate 19% 16% 10% 16% 12% <br /> <br /> <br />7) CONCLUSIONS <br /> <br />As previously discussed, rear loading dock buildings had trip generation rates higher than the <br />comparative ITE Land Uses in the analysis. The sample size for this type of building was <br />relatively small, seven sites at two locations. Overall there were only eight of the twenty-eight <br />buildings in the complete study that had a weekday trip generation greater than nine hundred <br />vehicles. Three of these eight buildings were rear loading facilities. It is recommended that <br />additional sites be evaluated to determine if the typical user of a rear loading facility has a <br />significantly higher rate than cross dock facilities. Until such additional analysis is performed, <br />using ITE Land USE 140 for Peak Hour trip generation rates and the rear loading weekday trip <br />rate should provide a conservative estimate of trip generation when square footage GFA is used <br />as the independent variable. Until additional rear loading dock sites can be evaluated, no <br />additional recommendations are being made for using employees as the independent variable <br />beyond providing the observed trip generation rates for the limited sample size. <br /> <br />The analysis of trip generation rates for all sizes of cross dock facilities correlate very well with <br />ITE Land USE 154 when evaluating square footage GFA as the independent variable. Given the <br />robust data set (five study locations in two states with twenty-one individual sites) traffic <br />engineers should have confidence in using either ITE Land Use 154 or the NorthPoint specific <br />trip generation rates to give an accurate estimate of potential trips generated. <br /> <br />ITE has not yet disseminated trip generation data on an employee basis for Land Use 154 yet. If <br />the number of employees is to be used as the independent variable, the evaluated land use with <br />the closest correlation is Land Use 140. Using a Northpoint specific trip generation based upon <br />the combined cross dock trip generation rates (Table 10) should provide a reasonable estimate <br />of the trips generated.