Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions

Automated driving (AD) is one of the most significant technical advances in the transportation industry. Its safety, economic, and environmental benefits cannot be realized if it is not used. To explain, predict, and increase its acceptance, we need to understand how people perceive and why they acc...

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Veröffentlicht in:Risk analysis Jg. 39; H. 2; S. 326 - 341
Hauptverfasser: Liu, Peng, Yang, Run, Xu, Zhigang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Blackwell Publishing Ltd 01.02.2019
Schlagworte:
Acceptance
Automation
Fully automated driving
Heuristic
Mathematical models
Predictions
public acceptance
Public opinion
Risk assessment
Risk perception
risk/benefit perception
Social acceptance
social trust
Technology
Transportation
Transportation industry
Transportation safety
Trust
trust heuristic
Willingness to pay
social trust
trust heuristic
Fully automated driving
public acceptance
risk/benefit perception
ISSN:0272-4332, 1539-6924, 1539-6924
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Zusammenfassung:Automated driving (AD) is one of the most significant technical advances in the transportation industry. Its safety, economic, and environmental benefits cannot be realized if it is not used. To explain, predict, and increase its acceptance, we need to understand how people perceive and why they accept or reject AD technology. Drawing upon the trust heuristic, we tested a psychological model to explain three acceptance measures of fully AD (FAD): general acceptance, willingness to pay (WTP), and behavioral intention (BI). This heuristic suggests that social trust can directly affect acceptance or indirectly affect acceptance through perceived benefits and risks. Using a survey (N = 441), we found that social trust retained a direct effect as well as an indirect effect on all FAD acceptance measures. The indirect effect of social trust was more prominent in forming general acceptance; the direct effect of social trust was more prominent in explaining WTP and BI. Compared to perceived risk, perceived benefit was a stronger predictor of all FAD acceptance measures and also a stronger mediator of the trust–acceptance relationship. Predictive ability of the proposed model for the three acceptance measures was confirmed. We discuss the implications of our results for theory and practice.
Bibliographie:ObjectType-Article-1
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ISSN:0272-4332
1539-6924
1539-6924
DOI:10.1111/risa.13143