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。
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.
作者
李振明
牛毅
樊运晓
王睿
LI Zhenming;NIU Yi;FAN Yunxiao;WANG Rui(College of Chemical Engineering,Zhejiang University of Technology,Hangzhou Zhejiang 310023,China;School of Engineering&Technology,China University of Geosciences(Beijing),Beijing 100083,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2020年第6期121-127,共7页
China Safety Science Journal
基金
国家自然科学基金资助(51674224)。
