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A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption

Menon, N and Zhang, Y and Rawoof Pinjari, A and Mannering, F (2020) A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption. In: Transportation Planning and Technology, 43 (3). pp. 253-278.

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Official URL: https://doi.org/10.1080/03081060.2020.1735740


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, we 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�). We 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. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Item Type: Journal Article
Publication: Transportation Planning and Technology
Publisher: Routledge
Additional Information: Copyright of this article belongs to Routledge
Keywords: Automation; Autonomous vehicles; Cluster analysis; Consumer behavior; Parameter estimation; Uncertainty analysis; Vehicles, Consumer adoptions; Consumer demographics; Consumer perception; Lower probabilities; Market segmentation; Multinomial logit model; Ordered probit model; Statistically significant difference, Commerce
Department/Centre: Division of Interdisciplinary Sciences > Center for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP)
Division of Mechanical Sciences > Civil Engineering
Date Deposited: 15 Apr 2021 09:54
Last Modified: 15 Apr 2021 09:54
URI: http://eprints.iisc.ac.in/id/eprint/64899

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