Adoption of Shared Autonomous Vehicles--A Hybrid Choice Modeling Approach Based on a Stated-Choice Survey
Shared autonomous vehicles (SAVs) merge the concepts of conventional carsharing and taxi services with self-driving vehicles and could provide inexpensive mobility on-demand services. In addition, SAVs may facilitate the implementation of dynamic ride-sharing (DRS) schemes. A stated choice survey was conducted and analyzed, using an integrated choice and latent variable model to identify the characteristics of potential users of SAVs with and without DRS. The results indicate that service attributes may be critical determinants of SAV use and DRS acceptance. SAVs are more likely to be selected by young travelers and a strong relationship between the set of modes, which an individual frequently uses, and the propensity to choose SAVs is revealed. Policy implications with regard to how policy-makers should address SAVs to realize their environmental and societal benefits are derived. The results suggest that SAVs may be a major game changer in the mobility industry.
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Supplemental Notes:
- This paper was sponsored by TRB committee AP020 Standing Committee on Emerging and Innovative Public Transport and Technologies. Alternate title: Adoption of Shared Autonomous Vehicles: Hybrid Choice Modeling Approach Based on Stated-Choice Survey.
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Corporate Authors:
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Authors:
- Krueger, Rico
- Rashidi, Taha H
- Rose, John M
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Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: References; Tables;
- Pagination: 20p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Choice models; Intelligent vehicles; Stated preferences; Vehicle sharing
- Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment; I90: Vehicles;
Filing Info
- Accession Number: 01590221
- Record Type: Publication
- Report/Paper Numbers: 16-2257
- Files: TRIS, TRB, ATRI
- Created Date: Feb 16 2016 2:34PM