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基于结构方程模型的超速行为分析

杨京帅

杨京帅. 基于结构方程模型的超速行为分析[J]. 西南交通大学学报, 2015, 28(1): 183-188. doi: 10.3969/j.issn.0258-2724.2015.01.027
引用本文: 杨京帅. 基于结构方程模型的超速行为分析[J]. 西南交通大学学报, 2015, 28(1): 183-188. doi: 10.3969/j.issn.0258-2724.2015.01.027
YANG Jingshuai. Speeding Behavior Analysis Based on Structural Equation Model[J]. Journal of Southwest Jiaotong University, 2015, 28(1): 183-188. doi: 10.3969/j.issn.0258-2724.2015.01.027
Citation: YANG Jingshuai. Speeding Behavior Analysis Based on Structural Equation Model[J]. Journal of Southwest Jiaotong University, 2015, 28(1): 183-188. doi: 10.3969/j.issn.0258-2724.2015.01.027

基于结构方程模型的超速行为分析

doi: 10.3969/j.issn.0258-2724.2015.01.027
基金项目: 

国家自然科学基金资助项目(51108040,51108390)

中央高校基本科研业务费专项资金资助项目(CHD2011JC105)

详细信息
    作者简介:

    杨京帅(1978-), 男, 副教授, 博士, 研究方向为道路交通安全, E-mail:jshyang@chd.edu.cn

Speeding Behavior Analysis Based on Structural Equation Model

  • 摘要: 为了识别和量化驾驶员在不同交通条件下遵从限速标志或限速警告信息的影响因素,及其相互之间的因果关系,应用探索性因子分析方法与结构方程模型,对534份驾驶员调查问卷进行了数据分析.分析结果表明:结构方程模型和观测数据拟合程度良好(拟合度指标值大于0.9),完全符合判别标准;在低危险感知与高危险感知两种情况下,驾驶员对限速的满意度是影响驾驶员遵从限速规定的主要影响因素;其次是年龄、驾龄、超速受罚次数、驾车频率等驾驶员自身及背景因素.改善驾驶员对于限速规定的整体认可与满意程度,适当提高驾驶员的超速行为风险,是逐步提升驾驶员遵从限速规定行为的有效方法.

     

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出版历程
  • 收稿日期:  2014-03-04
  • 刊出日期:  2015-02-25

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