Uncovering early adopter’s perceptions and purchase intentions of automated vehicles: Insights from early adopters of electric vehicles in California

Research on vehicle automation is one of the most current topics in transportation. Some of the questions plaguing the research community include design, cost, and adoption. Many of these questions will remain unanswered until automated vehicles are available to the consumer. In this study, the authors use a sample of California new electric vehicle buyers to understand if and how current adopters of new vehicle technologies will adopt automated vehicles. The authors find that many respondents are interested in purchasing an automated vehicle but indicate that they only have average knowledge of the technology. Using an ordinal logit model, the authors model the interest in purchasing a fully-automated vehicle and find that younger men who purchase higher cost vehicles are more interested in purchasing a fully-automated vehicle. Above all else, those who perceive automated vehicles as being safer than non-automated vehicles have an interest in purchasing an automated vehicle.

• Record URL:
  https://doi.org/10.1016/j.trf.2018.11.010
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847818304285
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Berliner, Rosaria M
  • Hardman, Scott
  • 0000-0002-0476-7909
  • Tal, Gil
  • 0000-0001-7843-3664
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 712-722
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 60
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Consumer behavior; Electric vehicles; Logits; Purchasing
• Geographic Terms: California
• Subject Areas: Administration and Management; Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01691404
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 25 2019 10:34AM