The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries

Mohamad Shatanawi (), Mohammed Hajouj, Belal Edries and Ferenc Mészáros
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Mohamad Shatanawi: Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Mohammed Hajouj: Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary
Belal Edries: Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, 2 Dublin, Ireland
Ferenc Mészáros: Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary

Sustainability, 2022, vol. 14, issue 19, 1-32

Abstract: Driverless vehicles (i.e., autonomous and shared autonomous vehicles) are associated with many advantages for the transportation market. However, they may also increase the traveled miles on roads due to improved accessibility, thus aggravating congestion. Road pricing (RP) is a possible solution for mitigating traffic-related problems like congestion. Despite its benefits, RP is usually resented by the public, which may hinder its introduction. This study investigates the factors that may influence RP acceptability in the era of driverless vehicles and driverless vehicle adoption in the presence of RP. For this purpose, a survey was distributed in Hungary, Jordan, Ukraine, and Brazil. The study applied factor analysis, multiple linear regression, and multinomial logit modeling to examine RP acceptability and driverless vehicle adoption. All examined factors have a significant impact on mode choice. For instance, respondents willing to share their trips with others due to the application of RP, opted for shared autonomous vehicles, while those who enjoy driving were less likely to choose autonomous vehicles. In terms of RP acceptability, the respondents who were environmentally conscious in their trip planning showed more acceptance of RP. This study shows the significant impacts of the investigated factors on RP acceptability and driverless vehicle adoption.

Keywords: acceptability; autonomous vehicles; road pricing; factor analysis; multinomial logit model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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