MPC |
Title: | The Impact of the Mobility as a Service Mode on Transit Access |
Principal Investigators: | Xiaoyue "Cathy" Liu |
University: | University of Utah |
Status: | Completed |
Year: | 2020 |
Grant #: | 69A3551747108 (FAST Act) |
Project #: | MPC-608 |
RH Display ID: | 149164 |
Keywords: | access, autonomous vehicles, connected vehicles, demand responsive transportation, impacts, mobility, modal split, public transit, ridership, vehicle miles of travel |
The objective of this project is to estimate the effect of the combined AV-MaaS technology, as a first mile-last mile mode, on future transit ridership and, as a consequence, on VMT. As noted by the existing practice, having Mobility as a Service (MaaS) travel mode has impacted the transportation industry in recent years and this impact (mode share) is expected to grow significantly in future. It is expected the introduction of Connected or/and Autonomous Vehicles (CAV) will boom the MaaS mode by lowering the cost of the mode through elimination of driver's cost for "as-service" providers (e.g. Uber and Lyft).
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