交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (2): 168-175.DOI: 10.16097/j.cnki.1009-6744.2023.02.018

• 系统工程理论与方法 • 上一篇    下一篇

数字鸿沟背景下老年人对自动驾驶汽车接受度

刘志伟1,刘建荣*2   

  1. 1. 武汉轻工大学,土木工程与建筑学院,武汉430023;2. 华南理工大学,土木与交通学院,广州510640
  • 收稿日期:2023-01-04 修回日期:2023-02-26 接受日期:2023-03-06 出版日期:2023-04-25 发布日期:2023-04-19
  • 作者简介:刘志伟(1987- ),男,湖北黄石人,讲师,博士
  • 基金资助:
    湖北省教育厅科研计划项目(Q20201603)

Elderly's Acceptance of Autonomous Vehicles in Context of Digital Divide

LIU Zhi-wei1, LIU Jian-rong*2   

  1. 1. School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430023, China; 2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
  • Received:2023-01-04 Revised:2023-02-26 Accepted:2023-03-06 Online:2023-04-25 Published:2023-04-19
  • Supported by:
    Scientific Research Project of Education Department of Hubei Province (Q20201603)

摘要: 自动驾驶汽车可以提高老年人的机动性,改善老年人的生活质量,故研究老年人对自动驾驶汽车的接受度具有重要意义。首先基于潜在类别模型将样本整体分为数字能力弱势老年人群体和数字能力强势老年人群体。然后分别以全体样本、弱势和强势数字能力老年人作为研究对象,建立技术接受模型和计划行为理论的综合模型研究不同数字能力的老年人群体对自动驾驶汽车的接受度。研究结果表明:数字能力弱势老年人群体和数字能力强势老年人群体占比分别为27.93%和72.07%。老年人群体对自动驾驶汽车的接受度存在显著异质性。对于全体老年人,感知行为控制是影响其对自动驾驶汽车接受度最重要的因素;对于数字能力弱势的老年人群体,主观规范是影响其对自动驾驶汽车接受度最重要的因素;对于数字能力强势老年人群体,态度是影响其对自动驾驶汽车接受度最重要的因素。

关键词: 交通工程, 接受度, 自动驾驶汽车, 潜在类别模型, 结构方程模型

Abstract: Autonomous vehicles can increase mobility and improve the quality of life of the elderly, and it is important to study the acceptance of autonomous vehicles by the elderly. Firstly, a latent class analysis was established to divide the sample into two latent classes: the elderly with a weak digital ability and the elderly with a strong digital ability. Then, with all the samples, three comprehensive models with the technology acceptance model and the theory of planned behavior were established to study the acceptance of autonomous vehicles by the elderly with different digital abilities. The results show that the elderly with a weak digital ability and the elderly with a strong digital ability account for 27.93% and 72.07% , respectively. Significant heterogeneity exists in the acceptance of autonomous vehicles among the elderly population. For all elderly people, perceived behavioral control is the most important factor influencing the acceptance of autonomous vehicles. For the elderly with weak digital ability, the subjective norm is the most important factor affecting the acceptance of autonomous vehicles, while for the elderly with strong digital ability, attitude is the most important factor affecting the acceptance of autonomous vehicles.

Key words: traffic engineering, adoption, autonomous vehicles, latent class analysis, structural equation modeling

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