What Influences the Decision to Use Automated Public Transport? Using UTAUT to Understand Public Acceptance of Automated Road Transport Systems

The main aim of this study was to use an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors that influence users’ acceptance of automated road transport systems (ARTS). A questionnaire survey was administered to 315 users of a CityMobil2 ARTS demonstration in the city of Trikala, Greece. Results provide evidence of the usefulness of the UTAUT framework for increasing the understanding of how public acceptance of these automated vehicles might be maximized. Hedonic Motivation, or users’ enjoyment of the system, had a strong impact on Behavioural Intentions to use ARTS in the future, with Performance Expectancy, Social Influence and Facilitating Conditions also having significant effects. The anticipated effect of Effort Expectancy did not emerge from this study, suggesting that the level of effort required is unlikely to be a critical factor in consumers’ decisions about using ARTS. Based on these results, a number of modifications to UTAUT are suggested for future applications in the context of automated transport. It is recommended that designers and developers should consider the above issues when implementing more permanent versions of automated public transport.

• Record URL:
  https://doi.org/10.1016/j.trf.2017.07.007
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847816301620
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Madigan, Ruth
  • Louw, Tyron
  • Wilbrink, Marc
  • Schieben, Anna
  • Merat, Natasha
• Publication Date: 2017-10

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 55-64
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 50
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Automated vehicle control; Autonomous land vehicles; Mode choice; Public opinion; Public transit; Travel behavior
• Identifier Terms: Automated Road Transport Systems (ARTS)
• Geographic Terms: Trikala (Greece)
• Subject Areas: Public Transportation; Safety and Human Factors;

Filing Info

• Accession Number: 01648125
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 5 2017 9:21AM