%0 Journal Article
%A LIU Na
%A ZHANG Jun-chang
%A ZHANG Sheng-tai
%A WANG Xu-hui
%T Meta-analysis on User Adoption of Automated Driving
%D 2021
%R 10.19722/j.cnki.1008-7729.2020.0346
%J Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)
%P 1-10
%V 23
%N 2
%X 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.
%U https://journalsk.bupt.edu.cn/EN/10.19722/j.cnki.1008-7729.2020.0346