Towards an Understanding of the Travel Behavior Impact of Autonomous Vehicles

This study gathered empirical evidence on adoption patterns of self-driving vehicles, people's likely use of them, and how that might influence amount of travel, mode choice, auto ownership, and other travel behaviour decisions. Because self-driving vehicles are 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 to determine intent to use. Based on results, four “intent to use” categories were determined: (1) extremely unlikely = Rejecters (18%); (2) somewhat unlikely = Conservatives (32%); (3) somewhat likely = Pragmatists (36%); (4) extremely likely = Enthusiasts (14%). Individuals with a higher level of intent to use have any physical conditions that prohibit them from driving; use technology – smartphone, text messaging, Facebook, transportation apps – and are not concerned with data privacy about using online technology; think using self-driving vehicles would be fun, decrease accident risk, and easy to become skilful at using; and believe people whose opinions are valued would like using them. Among those who indicated intent to use, qualitative interviews were conducted to ascertain the impact on their travel behaviour. Most respondents would rather own self-driving vehicles (59%) than just use one (41%), like a Car2Go or Uber taxi. Additionally, respondents reported that using one would have no change on where people would choose to live in Austin (80%), no change to their annual vehicle miles of travel (VMT) (66%), and no change to the number of vehicles owned (61%).

• Record URL:
  https://doi.org/10.1016/j.trpro.2017.05.281
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146517305884
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2017 Johanna P Zmud and Ipek N Sener. Published by Elsevier B.V.
• Authors:
  • Zmud, Johanna
  • Sener, Ipek N
• Conference:
  • World Conference on Transport Research - WCTR 2016
  • Location: Shanghai , China
  • Date: 2016-7-10 to 2016-7-15
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 2504-2523
• Serial:
  • Transportation Research Procedia
  • Volume: 25
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automated highways; Automobile drivers; Automobile ownership; Intelligent vehicles; Mode choice; Technological innovations; Travel behavior; Vehicle miles of travel
• Identifier Terms: Car2Go; Uber
• Geographic Terms: Austin (Texas)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01639463
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 28 2017 2:39PM