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� 4 an 6. Proposed Land Use Designation: Hospital/Commercial Node: 7. Most Intense Use of the Subject Property: 80,000 sq. ft. of Retail Commercial (Shopping Center in the 5th Edition ITE Manual). -Transportation A review of the traffic impacts that would result from the proposed development of the property indicates that the existing level of service "D" or better would not be lowered. The site information used for determining traffic is as follows: 1. Retail Commercial Use Identified in 5th Edition ITE Manual: Shopping Center • i 2. For structures 50,000 to 100,000 square feet (based upon the ITE Gross Leasable Floor Area category): a,.- Average Weekday Vehicle Trip Ends: 91.65/1000 gross square feet b. 5-6 p.m. Peak Hour Exiting Trips: 9.5% C. 5-6 p.m. Peak Hour Entering Trips: 8.3$ � l 3. Formula for Determining New Trips (Peak Hour/Peak Season Exiting Trips).: i Total Square Footage X Average Weekday Vehicle Trip Ends divided by 2 X Percentage P.M. Exiting Trips X Percentage New Trips (trip distribution based on a Modified Gravity Model) 4. New Trips: 49% or 171 peak hour/peak season exiting trips j based on the ITE Manual. 5. Traffic Capacity on U.S. #1, from Roseland Road to the North Sebastian City Limits at a Level of Service "D": 2300 peak hour/peak season/peak direction trips 6. Existing Traffic Volume on this segment of U.S. #1: 900 peak hour/peak season/peak direction trips Given those conditions, the number of new p.m. peak hour exiting trips associated with this request was determined by taking the 80,000 square feet of Shopping Center Use (most intense use), applying ITE's-91.65 Average Weekday Vehicle Trip Ends/1000 gross square feet to the 80,000 square feet to get total daily trips, dividing the total by 2 to get the 24 hour exiting volume, applying the ITE Shopping Center Use p.m. peak hour exiting factor (9.5$), and multiplying that number by 49% to ensure that only new trips are counted. The total p.m. peak hour exiting trips for the proposed use•was.calculated to be 171. Using a modified gravity model and a hand assignment, these trips were then assigned to roadways on the network. A similar methodology was used to project p.m. entering trips. Instead of the 9.5% factor used for exiting trips, an 8.3% factor was used to estimate p.m. peak hour entering trips. Using the same methodology referenced above, the entering trips were then assigned to segments on the network. The result of this analysis was two sets of project peak hour volumes for each impacted roadway segment on the network. Since one set of volumes represents entering trips and the other represents exiting trips, the peak hour volume for each direction for each segment was determined. The capacity analysis for each segment was then done by taking the project trips for the segment's peak direction and assessing whether or not this 19 Nov 19 13151 ROOK 4 f't+u 8