Self-Driving Vehicles: Determinants of Adoption and Conditions of Usage

This study gathered empirical evidence on adoption patterns of self-driving vehicles, their likely use, and how that use might influence the amount of travel, mode choice, auto ownership, and other travel behavior decisions. Because self-driving vehicles were not yet on the market, a car technology acceptance model was applied to understand adoption and use. Researchers implemented a two-stage data collection effort. An online survey was conducted with 556 residents of metropolitan Austin, Texas, to determine intent to use. Four intent-to-use categories were determined: extremely unlikely, 18%; somewhat unlikely, 32%; somewhat likely, 36%; and extremely likely, 14%. Of those who indicated intent to use, qualitative interviews were conducted to ascertain the impact on their travel behavior. Most respondents would rather own a self-driving vehicle than use one such as Car2Go or Uber taxi. In addition, respondents reported that using a self-driving vehicle would make no change in where people would choose to live in Austin (80%), no change to their annual vehicle miles of travel (66%), and no change to the number of vehicles owned (55%).

• Record URL:
  https://doi.org/10.3141/2565-07
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309369879
• Authors:
  • Zmud, Johanna
  • Sener, Ipek N
  • Wagner, Jason
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 57–64
• Monograph Title: Travel Behavior, Volume 1
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2565
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Attitudes; Automobile ownership; Intelligent vehicles; Mode choice; Surveys; Technological innovations; Travel behavior
• Geographic Terms: Austin (Texas)
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment; I90: Vehicles;

Filing Info

• Accession Number: 01590158
• Record Type: Publication
• ISBN: 9780309369879
• Report/Paper Numbers: 16-1832
• Files: TRIS, TRB, ATRI
• Created Date: Feb 11 2016 3:38PM