WAKE FOREST PUBLIC TRANSIT PLAN
Table 10 summarizes the assumptions and the planning-level annual operating cost for the Southern Wake Forest microtransit zone as a door-to-door service and a node-to-node service. Demand is a driving factor of microtransit operating cost. A higher demand means more riders are looking to ride the service and how well the service is meeting demand is indicated by the length of time riders must wait to get a ride. If demand is high, the service will need more vehicles operating at peak times to meet the demand to provide rides when needed with minimal wait times. Lower wait times mean a high level of service is being provided; however, the more vehicles operating at peak times means a higher microtransit operating cost. To fully understand and estimate the likely demand for a new microtransit service, additional planning and coordination with a third party microtransit service operator is needed to model the service operations. Therefore, for the planning-level cost opinions, two levels of service scenarios (low demand and high demand) are provided for each microtransit service type, determined by the number of peak vehicles required. For the door-to-door service the annual operating cost is between $310,000 to $990,000 and $520,000 to $1,003,000 for node-to-node service.
Table 10: Southern Wake Forest Microtransit Zone Planning-Level Annual Operating Cost Door-to-Door Assumptions
Node-to-Node Assumptions
Low Demand
High Demand
Low Demand
High Demand
Revenue Hours per Week 1
90
90
90
90
Peak Vehicles 2
1
3
1
2
Vehicle Hours per Week 90
270
90
180
Vehicle Hours per Year
4,680
14,040
4,680
9,360
Cost per Vehicle Hour Annual Operating Cost (rounded)
$70
$70
$110
$110
$330,000
$990,000
$520,000
$1,003,000
1 Revenue hours per week is the same for all microtransit service assumptions because each service would operate from 6:00 a.m. to 9:00 p.m. Monday to Saturday (15 hours per day for 6 days per week). 2 Vehicles needed for peak service determined by level of demand. More vehicles are needed to make more trips and decrease riders’ wait times. More detailed modeling and analysis is needed to estimate demand and required number of vehicles.
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