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An empirical analysis of passenger vehicle dwell time and curb management strategies for ride-hailing pick-up/drop-off operations.
- Source :
- Transportation; Oct2024, Vol. 51 Issue 5, p1635-1661, 27p
- Publication Year :
- 2024
-
Abstract
- With the dramatic and recent growth in demand for curbside pick-up and drop-off by ride-hailing services, as well as online shopping and associated deliveries, balancing the needs of roadway users is increasingly critical. Local governments lack tools to evaluate the impacts of curb management strategies that prioritize different users' needs. The dwell time of passenger vehicles picking up/dropping off (PUDO) passengers, including ride-hailing vehicles, taxis, and other cars, is a vital metric for curb management, but little is understood about the key factors that affect it. This research used a hazard-based duration modeling approach to describe the PUDO dwell times of over 6,000 passenger vehicles conducted in Seattle, Wash. Additionally, a before-after study approach was used to assess the effects of two curb management strategies: adding PUDO zones and geofencing. Results showed that the number of passenger maneuvers, location and time of day, and traffic and operation management factors significantly affected PUDO dwell times. PUDO operations took longer with more passengers, pick-ups (as opposed to drop-offs), vehicle´s trunk access, curbside stops, and in the afternoon. More vehicles at the curb and in adjacent travel lanes were found to be related to shorter PUDO dwell times but with a less practical significance. Ride-hailing vehicles tended to spend less time conducting PUDOs than other passenger vehicles and taxis. Adding PUDO zones, together with geofencing, was found to be related to faster PUDO operations at the curb. Suggestions are made for the future design of curb management strategies to accommodate ride-hailing operations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00494488
- Volume :
- 51
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Transportation
- Publication Type :
- Academic Journal
- Accession number :
- 179234615
- Full Text :
- https://doi.org/10.1007/s11116-023-10380-6