[1]李霞,郭梦婷,张孝铭,等.基于扩展计划行为理论的驾驶员跟驰意向分析[J].深圳大学学报理工版,2023,40(1):118-126.[doi:10.3724/SP.J.1249.2023.01118]
　LI Xia,GUO Mengting,ZHANG Xiaoming,et al.Analysis of driver’s car-following intention based on extended planning behavior theory[J].Journal of Shenzhen University Science and Engineering,2023,40(1):118-126.[doi:10.3724/SP.J.1249.2023.01118]
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基于扩展计划行为理论的驾驶员跟驰意向分析()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第40卷
期数:
2023年第1期
页码:
118-126
栏目:
交通物流
出版日期:
2023-01-06

文章信息/Info

Title:
Analysis of driver’s car-following intention based on extended planning behavior theory
文章编号:
202301014
作者:
李霞1; 郭梦婷1; 张孝铭2; 啜二勇3; 周巍4
1）河北工业大学土木与交通学院，天津 300401
2）帝国理工大学商学院，英国伦敦 SW7 2AZ
3）天津市交通科学研究院，天津 300060
4）河北省高速公路集团有限公司京雄筹建处，河北保定 071700
Author(s):
LI Xia1;  GUO Mengting1;  ZHANG Xiaoming2;  CHUO Eryong3;  and ZHOU Wei4
1) School of Civil Engineering and Transportation, Hebei University of Technology, Tianjin 300401, P.R.China
2) Business School, Imperial College, London SW7 2AZ, UK
3) Tianjin Institute of Transportation Science, Tianjin 300060, P.R.China
4) Office for Beijing-Xiong’an Expressway, Hebei Expressway Group Limited, Baoding 071700, Hebei Province, P.R.China
关键词:
交通工程; 跟驰意向; 扩展计划行为理论; 结构方程模型; 中介效应; 人机混驾
Keywords:
traffic engineering;  car-following intention;  extended theory of planning behavior;  structural equation model;  mediation effect;  human driven and autonomous vehicles
分类号:
U491
DOI:
10.3724/SP.J.1249.2023.01118
文献标志码:
A
摘要:
未来道路交通流将呈现自动驾驶车辆和传统车辆混行的现象，为探究人机混驾环境下传统车辆驾驶员对自动驾驶车辆跟驰意向的影响因素，引入驾驶员对自动驾驶车辆的了解程度、风险感知及接受程度3个变量，构建基于扩展计划行为理论的驾驶员跟驰意向模型框架．通过问卷调查获取331份主观评价数据，并借助SPSS和AMOS软件检验数据的内部一致性及可靠性．运用结构方程模型进行路径分析及中介效应分析以检验影响因素间的关系．结果表明，基于扩展计划行为理论的驾驶员跟驰意向结构方程模型对人机混驾环境下驾驶员的跟驰意向具有良好解释力；行为态度、主观规范和知觉行为控制对驾驶员跟驰意向具有显著正向直接效应；风险感知和接受程度通过中介变量对驾驶员跟驰意向产生显著间接效应，其中，风险感知作用为负向，接受程度作用为正向；了解程度对驾驶员跟驰意向既有显著正向直接效应又有显著正向间接效应．研究结果可作为人机混驾环境下车辆交互行为分析的基础．
Abstract:
Road traffic flow will show the phenomenon of mixed driving of autonomous vehicles and traditional vehicles in the future. In order to explore psychological factors that affect traditional vehicle drivers’ intention to follow autonomous vehicles in the human-machine hybrid driving environment, three variables of driver’s understanding, risk perception, and acceptance of autonomous vehicles are introduced to construct an extended theoretical framework of planning behavior. Three hundred thirty-one subjective evaluation data are obtained through questionnaire survey. The internal consistency and reliability of the data are tested by SPSS and AMOS softwares. Finally, the path analysis and mediation effect analysis are carried out by using structural equation model to test relationship among the influencing factors. The results show that the structural equation model of driver’s car-following intention based on the theory of extended planning behavior has good explanatory power for the driver’s car-following intention in the mixed driving environment. Driver’s behavioral attitude, subjective norm and perceived behavioral control of autonomous vehicles have a significant positive and direct effect on driver’s car-following intention. Driver’s risk perception and acceptance of autonomous vehicles have a significant indirect effect on driver’s car-following intention through intermediary variables, in which the effect of risk perception is negative, and the effect of acceptance is positive. The degree of understanding has both a significant positive direct effect and a significant positive indirect effect on driver’s car-following intention. The research results can be used as the basis for vehicle interaction behavior analysis in the human-machine hybrid driving environment.

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备注/Memo

备注/Memo:
Received: 2022- 06-19; Accepted: 2022-08-09; Online (CNKI): 2022-10-10
Foundation: National Natural Science Foundation of China (51908187)
Corresponding author: Associate professor LI Xia.E-mail: diyilixi@126.com
Citation: LI Xia, GUO Mengting, ZHANG Xiaoming, et al. Analysis of driver’s car-following intention based on extended planning behavior theory [J]. Journal of Shenzhen University Science and Engineering, 2023, 40(1): 118-126.(in Chinese)
基金项目：国家自然科学基金资助项目（51908187）
作者简介：李霞（1981—），河北工业大学副教授、博士．研究方向：交通运输规划管理与控制．E-mail: diyilixi@126.com
引文：李霞，郭梦婷，张孝铭，等.基于扩展计划行为理论的驾驶员跟驰意向分析［J］.深圳大学学报理工版，2023，40（1）：118-126.
更新日期/Last Update: 2023-01-30