A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption
While automated vehicle (AV) development continues to progress rapidly, how the public will accept and adopt automated vehicles remains an open question. Using extensive survey data, the authors apply cluster analysis to better understand consumer perceptions toward potential benefits and concerns related to AVs with regard to factors influencing their AV adoption likelihood. Four market segments are identified – ‘benefits-dominated,’ ‘concerns-dominated,’ ‘uncertain,’ and ‘well-informed.’ A random parameters multinomial logit model is then estimated to identify factors influencing the probability of respondents belonging to one of these four market segments. Among other influences (such as socio-economic and current travel characteristics), it is found that ‘Millennials’ have a higher probability of belonging to the well-informed market segment, ‘Gen-Xers’ with a lower probability to the uncertain market segment, and ‘Baby Boomers’ with a higher probability to the concerns-dominated market (relative to the ‘Great Generation’). The authors also study the individuals’ expressed likelihood of AV adoption using separate random parameters ordered probit estimations for each of the four market segments. The substantial and statistically significant differences across each AV consumer market segment underscore the potentially large impact that different consumer demographics may have on AV adoption and the need for targeted marketing to achieve better market-penetration outcomes.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
-
Supplemental Notes:
- © 2020 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
-
Authors:
- Menon, Nikhil
- Zhang, Yu
- Rawoof Pinjari, Abdul
- Mannering, Fred
- Publication Date: 2020-4
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 253-278
-
Serial:
- Transportation Planning and Technology
- Volume: 43
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 0308-1060
- Serial URL: https://www.tandfonline.com/toc/gtpt20/current
Subject/Index Terms
- TRT Terms: Age groups; Attitudes; Consumer preferences; Intelligent vehicles; Marketing; Markets
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01740119
- Record Type: Publication
- Files: TRIS
- Created Date: May 26 2020 10:19AM