A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM

Yang Liao, Hanying Guo () and Xinju Liu
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Yang Liao: Department of Automobile and Transportation, Xihua University, Chengdu 610039, China
Hanying Guo: Department of Automobile and Transportation, Xihua University, Chengdu 610039, China
Xinju Liu: Department of Automobile and Transportation, Xihua University, Chengdu 610039, China

Sustainability, 2023, vol. 15, issue 15, 1-21

Abstract: Shared autonomous vehicles (SAVs) have the advantages of both autonomous driving technology and shared transportation, which is an important development direction for intelligent and green transportation in the future. However, a lack of trust and a high perceived risk have reduced the public’s willingness to use this mode of travel. To improve the public’s willingness to use it, many scholars have conducted research, but young people are still a neglected group. A structural equation model was used to test the models based on 316 survey samples. The results indicated that initial trust had a significant positive effect on the intention to use SAVs, while perceived security risk and perceived privacy risk had no significant effect on the intention to use, but perceived security risk can indirectly negatively affect the intention to use. In addition, attitude and face consciousness had a significant positive influence on intention to use, while subjective norms, perceived behavioral control, and perceived usefulness had a significant indirect positive influence on intention to use SAVs. The findings showed that the model used in this paper was reasonable and valid for explaining young people’s willingness to use SAVs. This will provide guidance for formulating more effective strategies for this group.

Keywords: shared autonomous vehicles; autonomous driving technology; green transportation; structural equation model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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