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道路交通事故的影响因素研究——基于结构方程模型的实证研究
引用本文:陈春. 道路交通事故的影响因素研究——基于结构方程模型的实证研究[J]. 中国安全生产科学技术, 2014, 0(5): 110-116
作者姓名:陈春
作者单位:四川师范大学商学院,四川成都610101
基金项目:基金项目:国家自然科学基金青年基金项目(71202166);教育部青年基金项目(13YJC630202);四川省哲学社会科学项目(SC138028);四川省教育厅项目(2013SA0139);四川师范大学科研创新团队研究成果
摘    要:使用Amos建立了31个省市道路交通事故的结构方程,SEM道路交通结构模型选用了潜变量交通事故、人口素质、经济因子和车辆道路,每个潜变量包含三至五个指标观察变量,所有数据均通过信度检验。SEM道路交通结构模型采用bootstrap Stine p估计加以修正卡方值,通过了适配性检验和显著性检验,并拟合好全部路径系数、潜变量因子得分权重等,以此可计算得31个省市道路交通事故得分和排名,实证结果与31个省市道路交通事故实际情况相符,最后根据分析得出了影响道路交通事故的因素,并有针对性地提出了相关政策建议。

关 键 词:道路交通  交通安全  结构方程模型

Research on influencing factors of road traffic accidents---empirical study based on structural equation model
CHEN Chun. Research on influencing factors of road traffic accidents---empirical study based on structural equation model[J]. Journal of Safety Science and Technology, 2014, 0(5): 110-116
Authors:CHEN Chun
Affiliation:CHEN Chun (School of Business, SiChuan Normal University, Chengdu Sichuan 610101 , China)
Abstract:A structural equation model ( SEM) was established by applying Amos based on road traffic accidents occurred in 31 provinces and cities.In this SEM, multiple latent variables were selected , including traffic acci-dents, population quality, economic factors and vehicles on the road , and each factor consists of 3 to 5 observed variables.All data passed confidence verification test .In the SEM, bootstrap stine p was used to correct chi square value.Through the adaptation and significance test and a good matching of all path coefficients , etc., SEM was used to score and get rank of the road traffic accidents of 31 provinces and cities , and the ranking was consistent with the actual situation .According to the analysis on influencing factors of road traffic accidents , some correspond-ing policy recommendations were proposed .
Keywords:road traffic  traffic safety  structural equation model
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