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

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  • Johanna Zmud
    Washington, D.C., Office, Texas A&M Transportation Institute, Texas A&M University System,1747 Pennsylvania Avenue, NW, Suite 400, Washington, DC 20006
  • Ipek N. Sener
    Austin Office, Texas A&M Transportation Institute, Texas A&M University System, 505 East Huntland Drive, Suite 455, Austin, TX 78752
  • Jason Wagner
    Austin Office, Texas A&M Transportation Institute, Texas A&M University System, 505 East Huntland Drive, Suite 455, Austin, TX 78752

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<jats:p> 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%). </jats:p>

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