Acceptance of Automated Vehicles: Case Study of Drive2theFuture Project

The transport sector has increased awareness regarding automated vehicles and their integration to reduce impacts by increasing efficiency. This paper aims to identify correlation parameters of acceptance by a pre-acceptance analysis questionnaire done by the Drive2theFuture project. To reach this, an acceptance interested questionnaire has considered determining the acceptance correlated parameters with also regression analysis and cross-cutting comparisons. The result of the study indicates a well-balanced connection with the users’ characteristics, in terms of knowledge, perception, education level, income, and privacy concerns, has a positive increase of acceptance with slight significance. Then, the correlation analysis shows acceptance is more related to education, risks, and previous knowledge of automated vehicles. So, training and interactions would increase acceptance.

• Record URL:
  • https://doi.org/10.1016/j.trpro.2023.11.862
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2352146523011602
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2023 The Author(s). Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Usami, Davide Shingo
  • Capkin, Sevket Oguz Kagan
  • Shevchenko, Alisa
  • Fondzenyuy, Stephen Kome
• Conference:
  • Transport Research Arena Conference (TRA Lisbon 2022)
  • Location: Lisbon , Portugal
  • Date: 2022-11-14 to 2022-11-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Digital/other
• Features: References; Tables;
• Pagination: pp 3094-3101
• Serial:
  • Transportation Research Procedia
  • Volume: 72
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Acceptance; Attitudes; Autonomous vehicles; Surveys
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01916268
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 22 2024 9:39AM