Non-Driving Related Tasks and Journey Types for Future Autonomous Vehicle Owners

Highly automated vehicles (AVs) have the potential to improve the journey experience for all users by allowing them to partake in Non-Driving Related Tasks (NDRTs). Using a 42-question online survey of drivers (n = 1378, 59% males, 40% females), and in-depth interviews (n = 18, 56% males, 44% females), this study investigated NDRTs and the motivations for private ownership of highly automated vehicles (AVs). 42% of participants were identified to be more likely to own an AV and, believed that they were safer, would reduce congestion and the risk of accidents. There was also a genuine desire to actively fill the non-driving time being productive or using a device rather than passive tasks such as listening to music or watching their surroundings. Commuting was reported to be the most likely journey type amongst those more likely to own an AV. The commuting journey also showed the most diverse range of NDRTs including social (e.g., conversation, playing games), wellbeing (e.g., eating a meal, sleep), leisure (e.g., watching a video), and being productive (e.g., working on a laptop). This study provides insights into NDRTs to inform future interior vehicle design and motivations for owning highly automated vehicles.

• Record URL:
  https://doi.org/10.1016/j.trf.2022.01.004
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847822000043
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2022 Christopher Wilson, et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wilson, Christopher
  • Gyi, Diane
  • Morris, Andrew
  • Bateman, Robert
  • Tanaka, Hiroyuki
• Publication Date: 2022-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 150-160
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 85
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Attitudes; Automobile ownership; Autonomous vehicles; Motivation; Task analysis; Travel behavior
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01835712
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 9 2022 1:59PM