|Table of Contents|

[1] Chen Yuexia, Zha Qifen, Jing Peng, Cheng Hengquan, et al. Modeling and gender difference analysis of acceptanceof autonomous driving technology [J]. Journal of Southeast University (English Edition), 2021, (2): 216-221. [doi:10.3969/j.issn.1003-7985.2021.02.012]
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Modeling and gender difference analysis of acceptanceof autonomous driving technology()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
Issue:
2021年第2期
Page:
216-221
Research Field:
Traffic and Transportation Engineering
Publishing date:
2021-06-20

Info

Title:
Modeling and gender difference analysis of acceptanceof autonomous driving technology
Author(s):
Chen Yuexia1 Zha Qifen2 Jing Peng1 Cheng Hengquan1 Shao Danning1
1School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
2School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
Keywords:
autonomous vehicle acceptance of autonomous driving technology technology acceptance model theory of planned behavior multiple indicators and multiple causes model
PACS:
U491.1
DOI:
10.3969/j.issn.1003-7985.2021.02.012
Abstract:
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 factors. The analysis is based on data collected from Chinese urban residents. Among objective factors, age has a significant negative impact on women’s perceived behavior control and a significant positive impact on perceived ease of use. Education 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 control. Among 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 0.72. The influencing path of men’s intention to use autonomous driving technology is more complex. It 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.

References:

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Memo

Memo:
Biography: Chen Yuexia(1982—), male, doctor, lecturer, chenyxia@ujs.edu.cn.
Foundation items: 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).
Citation: Chen Yuexia, Zha Qifen, Jing Peng, et al. Modeling and gender difference analysis of acceptance of autonomous driving technology[J].Journal of Southeast University(English Edition), 2021, 37(2):216-221.DOI:10.3969/j.issn.1003-7985.2021.02.012.
Last Update: 2021-06-20