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<br />, <br /> <br />North Heights Traffic Impact Study <br />AlIiant Engineering. Inc. <br />AprilS, 2003 <br /> <br />Trin Generation <br /> <br />Based on the development described above, a trip generation/parking analysis was conducted by <br />the project team for three scenarios. The analysis is included in Table A-2 included in Part 7- <br />Appendix, Scenario A represents a worst-case weekday evening conference combined with other <br />activities throughout the building. Scenario B represents a worst-case Sunday service, Scenario <br />C represents a special event, such as the Splendor of ChristflUl1J or the Passion Play. Two time <br />periods were analyzed as part of the traffic study. The trip generation is tabulated in Table 5 and <br />described in the paragraphs below. <br /> <br />Time Period I corresponds to the weekday PM peak hour (4:30-5:30 pm). This analysis will <br />provide information relating to impaets to the roadway system that could be expected on a regular <br />basis. <br /> <br />The trip generation for the PM peak hour is based on the activities included under parking <br />analysis Scenario A in Table A-2. The Conference and Youth Auditorium traffic will be <br />subtracted, because they are not typical occurrences. In order to account for other activities, <br />including classroom, breakout room, and gymnasium use, 200 vehicles arriving sometime during <br />the course of the evening will be added to this scenario. This results in 305 vehicles entering and <br />exiting the facility on a typical weekday night. The vehicles entering and exiting during the PM <br />peak period is a small percentage of this total. Assume that 20% of the 305 vehicles enter during <br />4:30-5:30 PM period and assume 10% exit during this time period. <br /> <br />Time Period 2 corresponds to a major event at the ehurch on a weeknight. The results of this <br />analysis will provide information relating to impacts that may be more severe, but that would <br />occur on an infrequent basis. The trip generation will be based on Scenario C, event traffic. <br />Based on the existing event study, assume 90% of entering vehicles (1515) arrive during a one <br />hour period prior to the event. Likewise, assume 85% of exiting vehicles (1515) depart during <br />the one hour period following the event. <br /> <br />Table 5 <br />Trip Generation <br /> <br /> Total Traffic Total Traffic <br />Analysis Time Period Entering Exiting <br />PM Peak Hour 60 30 <br />Special Event - Entering 1365 20 <br />Special Event - Exiting 10 1290 <br /> <br />lIofl6 <br /> <br />. <br /> <br />. <br /> <br />. <br />