State-of-the-Art of Factors Affecting the Adoption of Automated Vehicles

Yilun Chen, Nirajan Shiwakoti, Peter Stasinopoulos and Shah Khalid Khan
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Yilun Chen: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Nirajan Shiwakoti: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Peter Stasinopoulos: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Shah Khalid Khan: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia

Sustainability, 2022, vol. 14, issue 11, 1-29

Abstract: Around 90% of accidents stem from human error. Disruptive technology, especially automated vehicles (AVs), can respond to the problems by, for instance, eradicating human error when driving, thus increasing energy efficiency due to the platoon effect, and potentially giving more space to human activities by decreasing parking space; hence, with the introduction of the autonomous vehicle, the public attitude towards its adoption needs to be understood to develop appropriate strategies and policies to leverage the potential benefits. There is a lack of a systematic and comprehensive literature review on adoption attitudes toward AVs that considers various interlinked factors such as road traffic environment changes, AV transition, and policy impacts. This study aims to synthesize past research regarding public acceptance attitude toward AVs. More specifically, the study investigates driverless technology and uncertainty, road traffic environment changes, policy impact, and findings from AV adoption modelling approaches, to understand public attitudes towards AVs. The study points out critical problems and future directions for analysis of AV impacts, such as the uncertainty on AVs adoption experiment, policy implementation and action plans, the uncertainty of AV-related infrastructure, and demand modelling.

Keywords: automated vehicles; level of automation; acceptance level; transport policy; shared vehicle; travel behaviour (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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