|
Title: How Does Ride-Hailing Influence Individual Mode Choice? An Examination Using Longitudinal Trip Data from the Seattle Region
Accession Number: 01764097
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: This study investigates the impacts of ride-hailing, which we define as mobility services consisting of both conventional taxis and app-based services offered by transportation network companies, on individual mode choice. We examine whether ride-hailing substitutes for or complements travel by driving, public transit, or walking and biking. The study overcomes some of the limitations of convenience samples or cross-sectional surveys used in past research by employing a longitudinal dataset of individual travel behavior and socio-demographic information. The data include three waves of travel log data collected between 2012 and 2018 in transit-rich areas of the Seattle region. We conducted individual-level panel data modeling, estimating independently pooled models and fixed-effect models of average daily trip count and duration for each mode, while controlling for various factors that affect travel behavior. The results provide evidence of substitution effects of ride-hailing on driving. We found that cross-sectionally, participants who used more ride-hailing tended to drive less, and that longitudinally, an increase in ride-hailing usage was associated with fewer driving trips. No significant associations were found between ride-hailing and public transit usage or walking and biking. Based on detailed travel data of a large population in a major U.S. metropolitan area, the study highlights the value of collecting and analyzing longitudinal data to understand the impacts of new mobility services.
Supplemental Notes: Yiyuan Wang https://orcid.org/0000-0002-3447-7814
© National Academy of Sciences: Transportation Research Board 2021.
Report/Paper Numbers: TRBAM-21-03421
Language: English
Authors: Wang, YiyuanMoudon, Anne VernezShen, QingPagination: pp 621-633
Publication Date: 2022-3
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2676 Media Type: Digital/other
Features: Figures; Maps; References
(26)
; Tables
TRT Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:19AM
|