主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2026, Vol. 51 ›› Issue (9): 118-122,129.DOI: 10.16638/j.cnki.1671-7988.2026.009.022

• 标准·法规·管理 • 上一篇    

基于公众视角下自动驾驶汽车推广影响 因素研究

刘庆凯 1，吕丽 1，白国华 1，谷志朋 2，羊俊妹 2   

  1. 1.山东华鲁恒升化工股份有限公司；2.太原学院
  • 发布日期:2026-05-09
  • 通讯作者: 刘庆凯
  • 作者简介:刘庆凯（1992－），男，硕士，工程师，研究方向为物流供应链管理

Research on the Influencing Factors of Autonomous Vehicle Promotion from the Public Perspective

LIU Qingkai1 , LÜ Li1 , BAI Guohua1 , GU Zhipeng2 , YANG Junmei2   

  1. l.Shandong Hualu Hengsheng Chemical Company Limited; 2.Taiyuan University
  • Published:2026-05-09
  • Contact: LIU Qingkai

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摘要： 随着智能化的快速发展，自动驾驶汽车同样发展迅猛，但公众对其技术、安全、法律 等多方面存在疑虑，这种态度阻碍了自动驾驶汽车的发展。文章先通过李克特五点量表法设 计相关问卷，再用社会科学统计软件包（SPSS）对收集的数据进行信度与效度检验，最后借 助 Logit 模型深入分析。研究以是否愿意推荐自动驾驶汽车为因变量，年龄、性别、收入等为 自变量。结果表明，年龄、收入、对自动驾驶的了解程度、技术成熟度、对高速公路路况应 对能力的放心程度及溢价接受情况等指标（p<0.05）均对推荐意愿有显著影响。其中，年龄 与推荐意愿呈显著负相关，年轻群体更愿推荐，老年人则相反；收入、技术成熟度、高速公 路路况应对放心程度及溢价接受度与推荐意愿呈正相关。此外，超七成受访者对隐私泄露表 示担忧，反映出信息安全问题亦是推广中不可忽视的阻碍因素。

关键词: 自动驾驶汽车；Logit 模型；信效度分析

Abstract: With the rapid development of intelligence, autonomous driving vehicles have also advanced rapidly. However, the public has doubts about their technology, safety, and legal aspects, and this attitude hinders the development of autonomous driving vehicles. This article first designs relevant questionnaires through the Likert five-point scale method, then uses the statistical package for the social sciences (SPSS) to test the reliability and validity of the collected data, and finally conducts in-depth analysis with the Logit model. The study takes whether one is willing to recommend autonomous driving vehicles as the dependent variable, and age, gender, income, etc. as independent variables. The results show that indicators such as age, income, understanding of autonomous driving, technical maturity, confidence in handling highway conditions, and willingness to accept premium (p<0.05) all have significant impacts on the willingness to recommend. Among them, age is significantly negatively correlated with the willingness to recommend, with younger groups more willing to recommend, while the elderly are the opposite. Income, technical maturity, confidence in handling highway conditions, and willingness to accept premium are positively correlated with the willingness to recommend. Additionally, over 70% of respondents expressed concerns about privacy leaks, reflecting that information security issues are also significant obstacles in the promotion process.

Key words: autonomous vehicles; Logit model; reliability and validity analysis