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计划行为理论视角下基于出行行为的公交防疫策略影响效果研究
引用本文:张昕明,弓棣,谢秉磊,马航.计划行为理论视角下基于出行行为的公交防疫策略影响效果研究[J].交通信息与安全,2021,39(6):117-125.
作者姓名:张昕明  弓棣  谢秉磊  马航
作者单位:1.哈尔滨工业大学(深圳)建筑学院 广东 深圳 518055
基金项目:国家自然科学基金面上项目71974043深圳市知识创新计划基础研究项目JCYJ20210324133202006
摘    要:疫策略对居民公交出行决策行为和出行偏好有着关键作用, 直接关系到公交优先策略的长期实施效果。从居民出行行为的角度, 在计划行为理论的框架下, 基于调查数据研究了居民公交出行影响因素及作用路径, 在此基础上对公共交通防疫策略进行了分析。研究发现了疫情期间公交出行行为影响因素中的1条显著作用路径, 即“风险感知、防疫策略→出行态度→出行意向→出行行为”, 验证了疫情风险感知和各项防疫管控策略对居民出行方式选择行为和出行偏好上有着深刻的长期影响, 需要更加慎重的使用停运等严格策略。通过进一步地观测变量分析, 驾驶员和车内环境消杀等信息对相应潜变量的路径系数最高, 均达到0.9以上, 说明已实施的防疫策略的信息公开对乘客出行态度极其重要, 这在当前是普遍被忽略的。在分析结果的基础上提出了信息公开、分散就坐等具体策略建议。 

关 键 词:城市交通    公共交通    防疫策略    计划行为理论    出行行为    结构方程模型
收稿时间:2021-08-18

A Study of the Effectiveness of Epidemic Prevention Policies on Public Transit Usage Based on the Theory of Planned Behaviors
ZHANG Xinming,GONG Di,XIE Binglei,MA Hang.A Study of the Effectiveness of Epidemic Prevention Policies on Public Transit Usage Based on the Theory of Planned Behaviors[J].Journal of Transport Information and Safety,2021,39(6):117-125.
Authors:ZHANG Xinming  GONG Di  XIE Binglei  MA Hang
Affiliation:1.School of Architecture, Harbin Institute of Technology(Shenzhen), Shenzhen 518055, Guangdong, China2.Shanghai Municipal Engineering Design Institute Group Guangdong CO., LTD., Shenzhen 518042, Guangdong, China
Abstract:Epidemic prevention strategies play a key role in the decision behavior and travel preference. Thus they are related to the long-term effects of the"public transport priority"strategy. From the perspective of residents' travel behaviors, the influencing factors and travel paths on transit-trip behaviors are studied using the questionnaire and the theory of planned behaviors. Furthermore, epidemic prevention strategies of public transit are analyzed. A significant path of the influencing factors on transit-trip behaviors is found, namely"risk perception and epidemic prevention strategies → travel attitude → travel intention → travel behaviors". Thus, the perceived risk and prevention strategies of the epidemic have profound and long-term effects on choosing traffic modes as well as travel preference. Therefore, strict strategies, such as the shutdown approach, should be used more carefully. Further, by analyzing the observation variables, the path coefficients to the corresponding latent variables of the driver's information and the disinfection of the internal environment are maximum, more than 0.9. These indicate that releasing the implemented epidemic prevention strategies is vital to residents' traveling attitudes. However, it is generally ignored at present. Finally, based on the analysis results, some specific strategic suggestions are put forward, such as information disclosure and decentralized sitting. 
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