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Exploring the factors affecting mode choice intention of autonomous vehicle based on an extended theory of planned behavior - a case study in China

Exploring the factors affecting mode choice intention of autonomous vehicle based on an extended theory of planned behavior - a case study in China
Exploring the factors affecting mode choice intention of autonomous vehicle based on an extended theory of planned behavior - a case study in China

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-demandmobility 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.

Autonomous vehicle, Behavior intention, Shared autonomous vehicle, Sustainable transportation, Theory of planned behavior, Travel mode choice
2071-1050
Jing, Peng
3f338025-1fd9-4cc3-8a31-03051e09aba3
Huang, Hao
4f499349-1420-4d62-9a03-29e7de60e00b
Ran, Bin
1fcbbb70-75f1-47b0-930b-134a3647532d
Zhan, Fengping
fbdcc463-16dd-416d-b1cf-0171bbe0c677
Shi, Yuji
262a2198-7892-41f7-9eaa-a2f424a62cff
Jing, Peng
3f338025-1fd9-4cc3-8a31-03051e09aba3
Huang, Hao
4f499349-1420-4d62-9a03-29e7de60e00b
Ran, Bin
1fcbbb70-75f1-47b0-930b-134a3647532d
Zhan, Fengping
fbdcc463-16dd-416d-b1cf-0171bbe0c677
Shi, Yuji
262a2198-7892-41f7-9eaa-a2f424a62cff

Jing, Peng, Huang, Hao, Ran, Bin, Zhan, Fengping and Shi, Yuji (2019) Exploring the factors affecting mode choice intention of autonomous vehicle based on an extended theory of planned behavior - a case study in China. Sustainability (Switzerland), 11 (4), [1155]. (doi:10.3390/su11041155).

Record type: Article

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-demandmobility 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.

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Accepted/In Press date: 20 February 2019
e-pub ahead of print date: 21 February 2019
Keywords: Autonomous vehicle, Behavior intention, Shared autonomous vehicle, Sustainable transportation, Theory of planned behavior, Travel mode choice

Identifiers

Local EPrints ID: 428760
URI: http://eprints.soton.ac.uk/id/eprint/428760
ISSN: 2071-1050
PURE UUID: 34f3545d-4cd1-4e2d-974e-13329cdcd403

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Date deposited: 08 Mar 2019 17:30
Last modified: 07 Oct 2020 00:44

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Contributors

Author: Peng Jing
Author: Hao Huang
Author: Bin Ran
Author: Fengping Zhan
Author: Yuji Shi

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