Abstract
The emergence of automated vehicles (AVs) is expected to have a huge impact on traffic safety and environmental improvement. In order to promote the sustainable development of AVs, it is urgent to study the public’s acceptance of and willingness-to-pay for automated vehicles and their influencing factors. Based on a questionnaire survey and descriptive research, this paper investigates the public’s general views on AVs. A psychological model considering technical trust (TT), perceived benefit (PB), perceived risk (PR), and perceived ease of use (PU) was constructed to study the factors that influence the public’s acceptance of and willingness-to-pay for AVs. Logistic regression models based on demographic factors such as monthly income (MI) and driving experience (DE) and psychological factors were established to predict end-users’ acceptance and willingness-to-pay. The accuracy of the two models is 93.2% and 87.9%, respectively. Based on the results, the following policies can be put forward to promote the development of AVs: (1) more information to enhance TT; (2) pricing and easy maintenance based on PU; (3) education and training based on TT and PB; and (4) personalized sales based on DE and MI.
Highlights
Sustainable transport plays a leading role in economic and social development
This study finds that the regression coefficients of users’ technical trust, perceived benefit, and perceived ease of use are positive, which means that they have a significant positive impact on acceptance (p < 0.05)
This study finds that the regression coefficients of driving experience, perceived ease of use, and technical trust are positive, which means that they have a significant positive impact (p < 0.05)
Summary
Sustainable transport plays a leading role in economic and social development. Automated vehicles are prime movers in transport development. Motor Vehicle Crash Causation Survey (NMVCCS), more than 94% of traffic accidents are caused by human driving errors. The main reasons for driving errors are the driver’s limitations and the uncontrollability of information processing [1]. In order to reduce drivers’ mistakes and improve road traffic safety, automated driving has become the focus of many researchers [2,3,4,5]. An automated vehicle is a vehicle that can sense external stimuli and complete certain specific driving tasks without manual operation [1].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
