A statistical analysis of consumer perceptions towards automated vehicles and their intended adoption |
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Authors: | Nikhil Menon Abdul Rawoof Pinjari Fred Mannering |
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Institution: | 1. Center for Urban Transportation Research (CUTR), University of South Florida, Tampa, FL, USA https://orcid.org/0000-0002-7035-204X;2. Department of Civil Engineering, Center for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP), Indian Institute of Science (IISc), Bangalore, India https://orcid.org/0000-0002-3056-4259;3. Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL, USA https://orcid.org/0000-0002-2803-4582 |
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Abstract: | ABSTRACTWhile 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. |
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Keywords: | Autonomous vehicles consumer adoption random parameters ordered probit model AV users market segmentation |
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