The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China

The development of electric vehicles (EVs) and autonomous vehicles (AVs) has made great progress and been expected to play an important role in a future transport system. Some researchers have explored the potential impacts of autonomous electric vehicles (AEVs), while few have focused on the public attitude towards AEVs. This paper aims to understand the public acceptance of AEVs through the application of Technology Acceptance Model. Considering the potential environmental benefits of AEVs, this study concentrates on how environmental concern affects AEVs acceptance. Data is collected from an online survey in China and analyzed by a structural model. The results indicate that green perceived usefulness, perceived ease of use and environmental concern have a positive relationship with people’s intentions to use AEVs. Environmental concern poses a powerful indirect effect on using intention through mediating effects. Implications for improving the public acceptance of AEVs and suggestions for further research are given correspondingly in this study.

• Record URL:
  https://doi.org/10.1016/j.trf.2018.09.029
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847818303425
• 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:
  • Wu, Jingwen
  • Liao, Hua
  • Wang, Jin-Wei
  • Chen, Tianqi
  • 0000-0002-9255-0821
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 37-46
• 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: Acceptance; Attitudes; Electric vehicles; Intelligent vehicles; Sustainable transportation
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Environment; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01685428
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 20 2018 10:11AM