Public opinion on automated driving: Results of an international questionnaire among 5000 respondents

This study investigated user acceptance, concerns, and willingness to buy partially, highly, and fully automated vehicles. By means of a 63-question Internet-based survey, the authors collected 5000 responses from 109 countries (40 countries with at least 25 respondents). They determined cross-national differences, and assessed correlations with personal variables, such as age, gender, and personality traits as measured with a short version of the Big Five Inventory. Results showed that respondents, on average, found manual driving the most enjoyable mode of driving. Responses were diverse: 22% of the respondents did not want to pay more than $0 for a fully automated driving system, whereas 5% indicated they would be willing to pay more than $30,000, and 33% indicated that fully automated driving would be highly enjoyable. 69% of respondents estimated that fully automated driving will reach a 50% market share between now and 2050. Respondents were found to be most concerned about software hacking/misuse, and were also concerned about legal issues and safety. Respondents scoring higher on neuroticism were slightly less comfortable about data transmitting, whereas respondents scoring higher on agreeableness were slightly more comfortable with this. Respondents from more developed countries (in terms of lower accident statistics, higher education, and higher income) were less comfortable with their vehicle transmitting data, with cross-national correlations between p = -0.80 and p = -0.90. The present results indicate the major areas of promise and concern among the international public, and could be useful for vehicle developers and other stakeholders.

• Record URL:
  https://doi.org/10.1016/j.trf.2015.04.014
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847815000777
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Kyriakidis, M
  • Happee, R
  • de Winter, J C F
• Publication Date: 2015-7

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 127-140
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 32
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Attitudes; Automated highways; Consumer preferences; Intelligent vehicles; International; Public opinion; Questionnaires; Social factors
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment; I72: Traffic and Transport Planning; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01567506
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 26 2015 1:42PM