交通运输从业者对自动驾驶接受度建模与分析  

Modeling and analysis of autonomous driving acceptance by transportation practitioners

作　　者：王云泽[1,2,3] 李英杰 唐立 WANG Yun-ze;LI Ying-jie;TANG Li(State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;Key Laboratory of Traffic Safety and Control of Hebei Province,Shijiazhuang 050043,China;School of Traffic and Transportation,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;School of Automobile and Transportation,Xihua University,Chengdu 610039,China;Measurement,Control and Safety Key Laboratory of Sichuan Province,Chengdu 610039,China)

机构地区：[1]石家庄铁道大学,省部共建交通工程结构力学行为与系统安全国家重点实验室,石家庄050043 [2]河北省交通安全与控制重点实验室,石家庄050043 [3]石家庄铁道大学,交通运输学院,石家庄050043 [4]西华大学,汽车与交通学院,成都610039 [5]汽车测控与安全四川省重点实验室,成都610039

出　　处：《交通运输工程与信息学报》2023年第2期42-54,共13页Journal of Transportation Engineering and Information

基　　金：河北省省级科技计划项目(21550802D);河北省自然科学基金项目(E2019210247);河北省高等学校科学技术研究项目(QN2018238);国家自然科学基金项目(5210120621);四川省科技计划重点研发项目(2022YFS0565)。

摘　　要：为了研究交通运输从业者对自动驾驶的接受意愿,确定影响接受度的关键因素,从而掌握交通运输从业者对自动驾驶的态度和关注点。通过分析交通运输从业者的职业特性,基于传统的技术接受模型(Technology Acceptance Model,TAM),综合考虑感知有用性、感知易用性、信任度和使用意愿四方面的功能认知和感知风险性的负面影响认知,并增加外部因素,兼顾个人属性特征的影响,加入从事该职业时长、个人月收入等职业变量,在此基础上设计调查问卷,对样本数据进行相关性分析和有序Logistic回归分析,筛选出自动驾驶接受度的关键影响因素。结果表明,交通运输从业者对自动驾驶的接受度较高,但与普通人群具有一定的区别;感知有用性、感知易用性、信任和使用意愿对自动驾驶的接受度具有显著正向影响;感知风险性具有显著负向影响;受教育程度和个人月收入对接受度也有一定的影响,受教育程度越高、个人月收入越高,对自动驾驶的接受度也越高。研究结论可以为提升自动驾驶汽车落地推广的策略提供一定的理论依据,同时也为政府制定相关政策提供依据。To determine the willingness of transportation practitioners to accept autonomous driving,the key factors influencing their acceptance are studied,including their perceptions and concerns.By analyzing their occupational characteristics based on the traditional technology acceptance model,their functional and negative impact cognition of the perceived risks of autonomous driving are con-sidered in terms of four aspects:perceived usefulness,perceived ease of use,trust and willingness to use,and external factors,the influence of personal attributes and occupational variables,such as the length of time employed in a particular occupation and personal monthly income,were also taken in-to account.On this basis,a questionnaire was designed and the data samples were analyzed by corre-lation analysis and orderly logistic regression to identify the key factors influencing the acceptance of autonomous driving.The results show that autonomous driving has greater acceptance among transport practitioners compared with the general public.Perceptions regarding the usefulness,ease of use,and willingness to use have a positive effect on the acceptance of autonomous driving,while the perceived risk has a negative effect.The education level and personal monthly income also influ-ence acceptance,with individuals with higher education levels and personal monthly incomes more willing to accept autonomous driving.The higher the education and monthly income levels,the high-er the acceptance.These results provide a theoretical basis for improving the promotional strategies for adopting autonomous vehicles as well as insights on the development of relevant government pol-icies.

关 键 词：智能交通 自动驾驶接受度 有序Logistic回归模型 技术接受模型 交通运输从业者 

分 类 号：U491[交通运输工程—交通运输规划与管理]