A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data

Understanding the “if” and “when” of autonomous vehicle (AV) adoption is of clear interest to car manufacturers in their positioning of business processes, but also to transportation planners and traffic engineers. In this paper, the authors examine the individual-level AV adoption and timing process, considering the psycho-social factors of driving control, mobility control, safety concerns, and tech-savviness. A ranked choice stated preference design is used to elicit responses from Austin area residents regarding AV adoption. The authors' results underscore the need to examine the adoption of technology through a psycho-social lens. In particular, technology developments and design should not be divorced from careful investigations of habits and consumption motivations of different groups of individuals in the population. The findings from the authors' analysis are translated to specific policy actions to promote AV adoption and accelerate the adoption time frame.

• Record URL:
  https://doi.org/10.1016/j.trc.2020.102835
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X20307397
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Asmussen, Katherine E
  • Mondal, Aupal
  • Bhat, Chandra R
  • 0000-0002-0715-8121
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 121
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Attitudes; Autonomous vehicles; Psychological aspects; Social factors; Stated preferences
• Geographic Terms: Austin (Texas)
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01758167
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 19 2020 2:22PM