Understanding acceptance of autonomous vehicles in Japan, UK, and Germany
This paper investigates the acceptance of Autonomous Vehicles (AVs) in Japan, the UK and Germany and speculates on the implications for policy and practice. Three on-line surveys of 3,000 members of the public in total, which were conducted in January 2017 (Japan), March 2018 (UK) and November/December 2018 (Germany) were analysed using Principal Component Analysis and then with an Ordered Logit Model. It finds that acceptance of AVs was higher amongst people with higher expectations of the benefits of AVs, those with less knowledge of AVs, and those with lower perceptions of risk. It also finds frequent drivers and car passengers to be more accepting, but that socio-economic factors were mostly insignificant. Finally, there were significant cultural differences between the levels of acceptance between Japan (broadly positive), the UK (broadly neutral) and Germany (broadly negative). These findings suggest that AV promoters should raise (or at least maintain) expectations of AVs among the public; engage with the public to reverse the negative perception of AVs; address AV-generated fears; not bother targeting people by socio-economic group; target frequent car drivers and passengers with information about what AVs could do for them; and target countries where AVs already enjoy a positive image.
Funding
The General Insurance Association of Japan, specifically the 2016 “Communication on the Road and Behavioural Priority” Project
Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number JP17K18947
History
School
- Architecture, Building and Civil Engineering
Published in
Urban, Planning and Transport ResearchVolume
10Issue
1Pages
514 - 535Publisher
Taylor & FrancisVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Acceptance date
2022-10-08Publication date
2022-10-27Copyright date
2022eISSN
2165-0020Publisher version
Language
- en