Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens

Zhenning Li (), Ruru Tang, Guofa Li and Chengzhong Xu
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Zhenning Li: University of Macau
Ruru Tang: University of Macau
Guofa Li: Chongqing University
Chengzhong Xu: University of Macau

Transportation, 2025, vol. 52, issue 5, No 6, 1925-1956

Abstract: Abstract Given the rapid advancement of autonomous driving technology, discerning public willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for their successful promotion, hastened adoption, and enhanced safety in forthcoming mixed autonomy traffic scenarios. This study employs a comprehensive online survey to scrutinize the factors influencing these objectives, encompassing socioeconomic and demographic elements, driving experience, and attitudes towards autonomous vehicles. Leveraging a sophisticated discrete choice model-the mixed logit model with heterogeneity in means and variances-this analysis unveils significant impacts of public social attitudes towards autonomous vehicles and current driving behavior on their willingness to pay for and behavior around autonomous vehicles. This paper’s contributions span theoretical modeling, experimental design, and estimation outcomes, offering valuable insights for policymakers and automobile manufacturers.

Keywords: Autonomous vehicle; Social attitude; Driving behavior; Mixed logit; Willingness to pay (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11116-024-10480-x

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