Meta-analysis on User Adoption of Automated Driving

doi:10.19722/j.cnki.1008-7729.2020.0346

Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition) ›› 2021, Vol. 23 ›› Issue (2): 1-10.doi: 10.19722/j.cnki.1008-7729.2020.0346

School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2020-11-19 Online:2021-04-30 Published:2021-05-20

Abstract

Abstract: Meta-analysis is used to investigate the critical factors that influence users willingness of adopting automated driving and compare the influencing strength of each factor. Based on literature review, a total of 27 relevant literatures were obtained and twelve factors that influence user adoption of automated driving were extracted. The results show that attitude, performance expectancy, and safety are strongly correlated with behavioral intention to adopt automated driving, while social influence, trust, perceived usefulness are moderately correlated with behavioral intention to adopt automated driving. Theoretical and practical implications of identifying the critical factors to user adoption of automated driving and directions for future research are discussed.

Key words: automated driving, technology acceptance, meta-analysis, user adoption

CLC Number:

G203
C931

LIU Na, ZHANG Jun-chang, ZHANG Sheng-tai, WANG Xu-hui. Meta-analysis on User Adoption of Automated Driving[J]. Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition), 2021, 23(2): 1-10.

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