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

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.

Examining the Impact of Hysteresis on the Projected Adoption of Autonomous Vehicles

“…Some studies employed analytical modelling to predict the market share of AVs [23,24]. Several studies also utilised the discrete choice modelling approach to understand AVs future demand trends [25][26][27], and additional researchers deployed more advanced models to estimate AV adoption using the diffusion of innovation (DOI) theory such as Lavasani et al who employed the Bass diffusion model [28], and Talebian & Mishra who proposed a new approach to estimate the long-term adoption of AVs by coupling agent-based modelling with the theory of DOI [22].…”

Analysis of the Emergence of Autonomous Vehicles Using Simulation-based Dynamic Traffic Assignment – The Case of Budapest

“…On the other hand, the associated benefits of AVs will increase accessibility for more people (e.g., kids and people with disabilities) and vehicle distance traveled due to eliminating the responsibility of driving (Simoni et al, 2019). This increment at a certain level may increase congestion, raising the need for advanced demand management schemes e.g., dynamic road pricing (Shatanawi et al, 2021;2022a;2022b;Simoni et al, 2019).…”