Modeling and gender difference analysis of acceptance of autonomous driving technology

作     者：Chen Yuexia Zha Qifen Jing Peng Cheng Hengquan Shao Danning 陈月霞;查奇芬;景鹏;程恒权;邵丹宁

作者机构：School of Automobile and Traffic Engineering Jiangsu University Zhenjiang 212013 China School of Finance and Economics Jiangsu University Zhenjiang 212013 China 

出 版 物：《Journal of Southeast University(English Edition)》 (东南大学学报（英文版）)

年 卷 期：2021年第37卷第2期

页      面：216-221页

核心收录：

学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：The National Key Research and Development Program of China(No.2018YFB1601304) the National Natural Science Foundation of China(No.71871107) Philosophy and Social Science Foundation Project of Universities in Jiangsu Province(No.2020SJA2059) 

主　　题：autonomous vehicle acceptance of autonomous driving technology technology acceptance model theory of planned behavior multiple indicators and multiple causes model 

摘      要：In order to deeply analyze the differences in the acceptance of autonomous driving technology among different gender groups,a multiple indicators and multiple causes model was constructed by integrating a technology acceptance model and theory of planned behavior to comprehensively reveal the gender differences in the influence mechanisms of subjective and objective *** analysis is based on data collected from Chinese urban *** objective factors,age has a significant negative impact on women s perceived behavior control and a significant positive impact on perceived ease of *** has a significant positive impact on men s perceived behavior control,and has a strong positive impact on women s perceived usefulness(PU).For men,income and education are found to have strong positive impacts on perceived behavior *** subjective factors,perceived ease of use(PEU)has the greatest influence on women s behavior intention,and it is the only influential factor for women s intention to use autonomous driving technology,with an influence coefficient of *** influencing path of men s intention to use autonomous driving technology is more *** is not only directly affected by the significant and positive joint effects of attitude and PU,but also indirectly affected by perceived behavior controls,subjective norms,and PEU.