Sharing roads with automated vehicles

Sharing roads with automated vehicles: A questionnaire investigation from drivers’, cyclists’ and pedestrians’ perspectives

Li, Xiaomeng (Queensland University of Technology)
Kaye, Sherrie Anne (Queensland University of Technology)
Afghari, A.P. (TU Delft Values Technology and Innovation; TU Delft Safety and Security Science)
Oviedo-Trespalacios, O. (TU Delft Safety and Security Science; TU Delft Values Technology and Innovation; Queensland University of Technology)

Values Technology and Innovation

2023

Despite the promised benefits, the introduction of Automated Vehicles (AVs) on roads will be confronted by many challenges, including public readiness to use those vehicles and share the roads with them. The risk profile of road users is a key determinant of their safety on roads. However, the relation of such risk profiles to road users’ perception of AVs is less known. This study aims to address the above research gap by conducting a cross-sectional survey to investigate the acceptance of Fully Automated Vehicles (FAVs) among different non-AV-user groups (i.e., pedestrians, cyclists, and conventional vehicle drivers). A total of 1205 road users in Queensland (Australia) took part in the study, comprising 456 pedestrians, 339 cyclists, and 410 drivers. The Theory of Planned Behaviour (TPB) is used as the theoretical model to examine road users’ intention towards sharing roads with FAVs. The risk profile of the participants derives from established behavioural scales and individual characteristics are also included in the acceptance model. The study results show that pedestrians reported lowest intention in terms of sharing roads with FAVs among the three groups. Drivers and cyclists in a lower risk profile group were more likely to report higher intention to share roads with FAVs than those in a higher risk profile group. As age increased, pedestrians were less likely to accept sharing roads with FAVs. Drivers who had more exposure time on roads were more likely to accept sharing roads with FAVs. Male drivers reported higher intention towards sharing roads than female drivers. Overall, the study provides new insights into public perceptions of FAVs, specifically from the non-AV-user perspective. It sheds light on the obstacles that future AVs may encounter and the types of road users that AV manufacturers and policymakers should consider closely. Specifically, groups such as older pedestrians and road users who engage in more risky behaviours might resist or delay the integration of AVs.

Bicycle rider
Intelligent Transport Systems (ITS)
Risky behaviour
Self-driving vehicles
Vulnerable road users
Walking

http://resolver.tudelft.nl/uuid:54743485-6372-4b42-a255-c31baa09b9e2

https://doi.org/10.1016/j.aap.2023.107093

0001-4575

Accident Analysis & Prevention, 188

Institutional Repository

journal article

© 2023 Xiaomeng Li, Sherrie Anne Kaye, A.P. Afghari, O. Oviedo-Trespalacios