Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China

Peng Jing, Hao Huang, Bin Ran, Fengping Zhan and Yuji Shi
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Peng Jing: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Hao Huang: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Bin Ran: Department of Civil and Environmental Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA
Fengping Zhan: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Yuji Shi: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China

Sustainability, 2019, vol. 11, issue 4, 1-20

Abstract: Autonomous vehicle (AV) is an innovative transport option that has the potential to disrupt all industries tied to transportation systems. The advent of AV technology will bring a novel on-demand mobility pattern such as shared autonomous vehicle (SAV). To promote AV technology, it is important to understand which factors influence travelers’ intention to use AVs and SAVs. This paper collected literature from databases such as Scopus, Web of Science and ScienceDirect, and made a systematic review. The study aims to explore the determinants that influence travelers’ behavioral intentions towards use AVs and SAVs based on an extended version of the theory of planned behavior, which incorporates knowledge and perceived risk. This study was tested empirically using a valid survey sample collected from 906 respondents in China. Structural equation model was conducted to investigate the predictors of intentions to use AVs and SAVs. Results showed that knowledge about AV technology and perceived risk are the two main potential obstacles for travelers to use AVs and SAVs. Attitude significantly affects AVs and SAV choice intentions. Subjective norm is the most critical factor affecting the travelers’ intention to use AVs. Perceived behavioral control potentially stymie the travelers’ intention to use SAVs. The findings will enhance the understanding of travelers’ choice motivation from psychological and service perspectives, and provide data support for governments and companies in improving travel management strategies and product services.

Keywords: autonomous vehicle; shared autonomous vehicle; travel mode choice; behavior intention; theory of planned behavior; sustainable transportation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

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