中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (6): 121-127.doi: 10.16265/j.cnki.issn1003-3033.2020.06.018

• 公共安全 • 上一篇    下一篇

不同区域高速公路货车事故特征研究

李振明1 副教授, 牛毅2, 樊运晓2 教授, 王睿1   

  1. 1.浙江工业大学 化学工程学院, 浙江 杭州 310023;
    2.中国地质大学(北京) 工程技术学院,北京 100083
  • 收稿日期:2021-03-27 修回日期:2020-05-19 出版日期:2020-06-28 发布日期:2021-01-28
  • 作者简介:李振明(1964—),男,浙江乐清人,硕士,副教授,主要从事行为安全管理、企业安全管理与事故预警技术等方面的研究。E-mail:lizmzf@163.com。
  • 基金资助:
    国家自然科学基金资助(51674224)。

Research on characteristics of expressway truck accidents in different regions

LI Zhenming1, NIU Yi2, FAN Yunxiao2, WANG Rui1   

  1. 1. College of Chemical Engineering, Zhejiang University of Technology, Hangzhou Zhejiang 310023, China;
    2. School of Engineering & Technology, China University of Geosciences(Beijing), Beijing 100083, China
  • Received:2021-03-27 Revised:2020-05-19 Online:2020-06-28 Published:2021-01-28

摘要: 为深入探究我国不同区域高速公路货车事故特征的差异性,解决货车事故高发问题,应用分类学和社会网络分析等方法,分别选取南方的浙江省和北方的吉林省两地主要货车事故数据,初步分类分析后,构建事故影响因素关系网络图和中心度排序表,对比2组数据,结果表明:浙江、吉林两地货车事故在数量、严重程度、原因以及复杂程度等方面存在较大差异;气象条件、车辆类型和疲劳驾驶是影响事故严重程度的重要因素;不同区域、天气和驾驶经验对司机的不安全驾驶行为有较大影响。

关键词: 社会网络分析, 高速公路, 货车事故, 分类学, 中心度排序

Abstract: In order to fully explore differences of truck accident characteristics in different regions and prevent high occurrence of truck accidents, methods such as taxonomy and social network analysis were applied to study data of major accidents in Zhejiang from South and Jilin Province from North respectively. Then, based on preliminary classification analysis of data, a network diagram of influencing factors and a ranking table of centrality were constructed, and two sets of data were compared. The results show that there are great differences in number, severity, cause and complexity of truck accidents between two provinces. Weather condition, vehicle type and fatigue driving are important factors that affect accident severity while region difference, weather and driving experience exert comparatively significant influence on unsafe driving behaviors.

Key words: social network analysis, highway, truck accident, taxonomy, centrality ranking

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