Impact of Level 4 Automated Vehicles on Mode Choice Using a Needs-Based Approach

With the emergence of Level 4 automated vehicles, it is necessary to investigate the impact of these vehicles on mode choice. Previous studies have looked at the potential benefits and drawbacks of automated vehicles, but there has been little research done on how these vehicles will impact individuals? travel behaviors. This paper proposes a needs-based approach to study the impact of Level 4 automated vehicles on mode choice. The approach takes into consideration the travel needs of different individuals and their willingness to adopt new technologies. Through a stated preference survey in China, the data on travel preferences and the perceived safety levels of automated vehicles can be collected. Then, a model is built to simulate the adoption of Level 4 automated vehicles and estimate the mode split for different scenarios. The results indicated that private AV modes are preferred, and business and nonwork trips may be the targeted market for all AV modes. Overall, value of automation increases with income for private modes, with large variance. Furthermore, Pro-AV attitude has a positive effect on value of automation, especially for self-owned AV and AV subscription. Accordingly, the needs-based approach demonstrates a promising method to study the impact of new technologies on travel behaviors and provides insights for policy makers to promote more sustainable transportation systems.

• Record URL:
  • https://doi.org/10.1155/2024/6671487
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
• Supplemental Notes:
  • Copyright © 2024 Chen Zhijian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
• Authors:
  • Zhijian, Chen
  • Ying-En, Ge
  • Liu, Shikun
  • Qiu, Jiandong
  • Zhang, Jingke
  • Kang, Jing
• Publication Date: 2024-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: Article ID 6671487
• Serial:
  • Journal of Advanced Transportation
  • Volume: 2024
  • Issue Number: 1
  • Publisher: John Wiley & Sons, Incorporated
  • ISSN: 0197-6729
  • EISSN: 2042-3195
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Intelligent vehicles; Level 4 driving automation; Mode choice; Travel behavior
• Geographic Terms: China
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01929268
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 30 2024 3:51PM