Will autonomous vehicles change auto commuters’ value of travel time?
This paper examines the potential impact of autonomous vehicles on commuters’ value of travel time (VOTT). In particular, the authors focus on the effect on auto commuters in small and medium-sized metropolitan areas, concerning the spatial variability across urban areas, suburbs, and rural areas. The authors design a stated choice experiment to elicit potential changes in 1,881 auto commuters’ valuation of travel time in autonomous vehicles and apply a mixed logit model to quantify the changes in the value of travel time if taking autonomous vehicles. The results of this study suggest that the effect of autonomous vehicles on the VOTT is spatially differentiated. The authors find that riding in a private autonomous vehicle reduces the commuting VOTT of suburban, urban, and rural drivers by 32%, 24%, and 18%, respectively, compared to 14%, 13%, and 8% for riding in a shared autonomous vehicle. Finally, the authors discuss the implications of these lower values of time on transportation and land use planning.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
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Supplemental Notes:
- Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Zhong, Haotian
- Li, Wei
- Burris, Mark W
- Talebpour, Alireza
- Sinha, Kumares C
- Publication Date: 2020-6
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 102303
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Serial:
- Transportation Research Part D: Transport and Environment
- Volume: 83
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1361-9209
- Serial URL: http://www.sciencedirect.com/science/journal/13619209
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Commuters; Land use planning; Logits; Metropolitan areas; Rural areas; Stated preferences; Suburbs; Transportation planning; Travel time; Urban areas; Value of time; Vehicle sharing
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01741965
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 8 2020 2:16PM