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出行者环保意识对低碳交通政策支持度的影响
引用本文:刘丽华,王炜,刘建荣,华雪东.出行者环保意识对低碳交通政策支持度的影响[J].交通信息与安全,2021,39(1):97-102.
作者姓名:刘丽华  王炜  刘建荣  华雪东
作者单位:1.东南大学城市智能交通江苏省重点实验室 南京 211189
基金项目:中国博士后科学基金项目;国家自然科学基金重点项目;江苏省博士后科研计划项目
摘    要:为减少汽车尾气污染,政府部门应制定交通政策推动出行者采用低碳出行方式。有效的交通政策需要深入了解影响出行者低碳出行的心理因素。通过实证分析,研究出行者环保态度、环保行为、公交偏好等潜在变量对低碳交通政策支持度的影响。基于结构方程模型(SEM模型)的基本原理,建立模型假设,并通过Mplus进行数据分析。研究发现,环保态度会直接影响环保行为、公交偏好,环保行为直接会影响公交偏好,公交偏好会直接影响低碳交通政策支持度;但环保态度和环保行为对低碳交通政策支持度没有直接效应。在95%的置信水平下,性别、婚姻状况、私家车拥有情况、房产拥有情况、是否开车上班对结构方程模型均无显著影响;但在90%的置信水平下,性别、教育程度对结构方程模型的影响显著。 

关 键 词:交通工程    环保意识    低碳交通政策支持度    结构方程模型    多群组
收稿时间:2020-12-31

Impacts of Environmental Concern on the Approval of Low-carbon Traffic Policy
LIU Lihua,WANG Wei,LIU Jianrong,HUA Xuedong.Impacts of Environmental Concern on the Approval of Low-carbon Traffic Policy[J].Journal of Transport Information and Safety,2021,39(1):97-102.
Authors:LIU Lihua  WANG Wei  LIU Jianrong  HUA Xuedong
Abstract:The government should formulate transportation policies to encourage low-carbon travel, thereby reducing automobile exhaust pollution. Designing effective policy requires a thorough understanding of the psychological factors that influence low-carbon travel. The structural equation model(SEM)is used to study the impacts of environmental concern on the approval of the low-carbon transportation policy. Based on the basic principles of SEM, a model hypothesis is established, and the data is analyzed by Mplus. The results show that environmental attitudes directly influence environmental behaviors and public transportation preference. Meanwhile, environmental behaviors directly affect public transportation preference, and public transportation preference directly influences the approval of the low-carbon traffic policy. However, environmental attitudes and behaviors do not directly influence the approval of the low-carbon transportation policy. At the 95% confidence level, gender, marital status, private car ownership, house ownership, and whether or not drive to work have no significant effect on the SEM. However, at the 90% confidence level, gender and education level have significant effects on SEM. 
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