Autonomous vehicles: who will use them, and will they share?
The advent of road transport automation is suggested to be one of four key technological transitions that could amount to a major transformation in mobility practices. Specifically, fully Automated Vehicles (AVs) might replace the current private car owner user model with fleets of on-demand synchronously-shared automated taxis. However, significant barriers to this vision becoming the norm remain. This paper examines two critical user-acceptance aspects of the transition: willingness to adopt AVs, and willingness to share an AV with others, particularly strangers. This novel survey (n = 899) included a choice experiment featuring four future full automation transport services (private, synchronously/asynchronously shared, and public). Cluster analysis examined respondents' preferences and their demographic and psycho-social characteristics. The authors uncover significant uncertainty about willingness to adopt automation and sharing, and important differences between clusters within the sample. For example, under 50% of participants report willingness to use an AV over their normal mode, or would prefer an automated option to a current human-driven option. The findings raise critical questions for policymakers and transport authorities. Not least, how can AV technologies help realise the environmental and social benefits of widespread vehicle sharing in a context of a travelling public that still prefers its privacy on-the-move?
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- Clayton, William
- Paddeu, Daniela
- Parkhurst, Graham
- Parkin, John
- Publication Date: 2020-5
- Media Type: Web
- Pagination: pp 343-364
- Transportation Planning and Technology
- Volume: 43
- Issue Number: 4
- Publisher: Taylor & Francis
- ISSN: 0308-1060
- Serial URL: http://www.tandf.co.uk/journals/titles/03081060.html
- TRT Terms: Autonomous vehicles; Demand responsive transportation; Environmental impacts; Forecasting; Shared mobility; Social factors
- Subject Areas: Highways; Planning and Forecasting;
- Accession Number: 01744284
- Record Type: Publication
- Files: TRIS
- Created Date: May 9 2020 3:01PM