Impacts of the introduction of autonomous taxi on travel behaviors of the experienced user: Evidence from a one-year paid taxi service in Guangzhou, China

The interaction with autonomous driving technology has increased in the past few years. Although a few studies have investigated the opinion of people who have physically experienced AVs, the understanding regarding how the experienced users can integrate AV-based services into real life is limited. To address this gap, the present study examines the travel characteristics of autonomous taxi trips and the determinants of continuous use intention. The data used in this study were collected in Guangzhou, China where paid autonomous taxi service have been publicly accessible and operated for one year. The analysis of the autonomous taxi trips revealed that this novel mobility choice has been accepted and extensively used by experienced users. In addition, five market segments were identified according to the supplement and alternative travel mode to autonomous taxi trips. Results indicate a possible mode shift from public transport to autonomous taxis. The role of a safety steward on board was also identified. Findings suggest that takeover action influences the acceptable time for fully autonomous driving and the preference for autonomous taxis. Certain factors—service satisfaction, psychological ownership, and concern for the equality of safety—for autonomous taxi use are considered in this study. On this basis, an extended technology acceptance model is proposed to explain the continuous use intention of autonomous taxis. The maintenance of a positive attitude toward use, which underlines the simplicity and usefulness of autonomous taxis and the improvement of service quality, is essential for experienced users. Furthermore, the approaches that establish psychological ownership and alleviate the concern for the equality of safety can also enhance the continuous use intention. Interestingly, the effect of concern for the equality of safety on continuous use intention is larger when experienced users do not or seldom encounter takeovers. The research contributes to the ongoing research related to the real-life application of AVs, with implications for urban transportation managers, mobility providers, and automobile industry players.

• Record URL:
  https://doi.org/10.1016/j.trc.2021.103311
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X21003193
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Dai, Jingchen
  • Li, Ruimin
  • Liu, Zhiyong
  • Lin, Shichao
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 103311
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 130
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Acceptance; Autonomous vehicle handover; Autonomous vehicles; Passengers; Taxicabs; Travel behavior
• Geographic Terms: Guangzhou (China)
• Subject Areas: Highways; Passenger Transportation; Planning and Forecasting; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01784416
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 7 2021 4:59PM