The determinants of Portuguese preference for vehicle automation: A descriptive and explanatory study |
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| Affiliation: | 1. Faculty of Science and Technology of the University of Coimbra;2. Rua Luís Reis Santos 3030-788, Coimbra, Portugal;3. CERIS, Higher Technical Institute of the Technical University of Lisbon;4. Avenida Rovisco Pais 1049-001, Lisboa, Portugal;1. CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China;2. Department of Psychology, University of Chinese Academy of Sciences, Beijing, China;1. Environmental Policy Research Group, Korea Environment Institute, 370 Sicheong-daero, Sejong-si 339-007, South Korea;2. The University of Texas at Austin, Department of Civil, Architectural and Environmental Engineering, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712, United States;3. King Abdulaziz University, Jeddah 21589, Saudi Arabia;4. Georgia Institute of Technology, School of Civil and Environmental Engineering, Mason Building, 790 Atlantic Drive, Atlanta, GA 30332-0355, United States;1. Delft University of Technology, Department Transport & Planning, Delft, The Netherlands;2. Goudappel Coffeng, Deventer, The Netherlands;1. School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, United States;2. Department of Economics, Universidad Catolica del Norte, Chile;3. Resources for the Future, Washington, DC, United States |
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| Abstract: | During the last century, innovation of automated vehicles (AVs) technologies are successively maturing while progressively excluding the human intervention in vehicle driving. The objective of this paper was to analyze the determinants of Portuguese drivers’ decision to adopt AVs technologies, in an under explored context, where the driver of contemporary vehicles does all or part of the dynamic driving task (DDT) in comparison to vehicles equipped with Automated Driving systems (ADS) where the driver can become a passenger temporarily or permanently. In addition, willingness-to-pay for ADS estimates were also investigated. This study data was collected through a survey designed and deployed in Portugal. A mixed logit model was estimated, and the results obtained are in line with the literature of AVs in a number of determinants, but also highlights differences that can be explained by the Portuguese cultural, social and economic context. Overall, 83.7% of the Portuguese drivers favor contemporary vehicles, today, and among those who prefer vehicles with ADS, highly educated drivers’ are willing to pay, on average, 65,671 € for Conditional AVs, 31,185 € for Highly AVs, and about 28,622 € for Full AVs. |
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| Keywords: | Automated vehicles Automated driving systems Discrete choice modelling Willingness-to-pay Adoption decision Survey |
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