[1]李泽文,张萌萌,李虹燕.基于最优尺度Logit模型的交通事故形态致因分析*[J].中国安全生产科学技术,2022,18(1):169-174.[doi:10.11731/j.issn.1673-193x.2022.01.027]
LI Zewen,ZHANG Mengmeng,LI Hongyan.Cause analysis of traffic accident forms based on optimal scale Logit model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(1):169-174.[doi:10.11731/j.issn.1673-193x.2022.01.027]
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基于最优尺度Logit模型的交通事故形态致因分析*
LI Zewen,ZHANG Mengmeng,LI Hongyan.Cause analysis of traffic accident forms based on optimal scale Logit model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(1):169-174.[doi:10.11731/j.issn.1673-193x.2022.01.027]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 18
- 期数:
- 2022年1期
- 页码:
- 169-174
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2022-01-31
文章信息/Info
- Title:
- Cause analysis of traffic accident forms based on optimal scale Logit model
- 文章编号:
- 1673-193X(2022)-01-0169-06
- Keywords:
- optimal scale; Logit model; traffic accident form; cause analysis
- 分类号:
- X951;U491.31
- 文献标志码:
- A
- 摘要:
- 为剖析典型交通事故形态致因，在利用最优尺度分析法诊断交通事故形态致因共线性的基础上，筛选关键影响因素，构建无序多分类Logit交通事故致因模型并对模型进行参数标定，并选择100个交通事故样本对模型进行精度验证，该模型相对误差仅为4.0%，能够较为准确地分析典型交通事故形态致因。研究结果表明：路侧及中央隔离设施、照明是事故的保护性因子，可有效降低事故率；路侧行道树设置不合理或未及时修剪，使车辆不能有效识别道路信息，是正面碰撞的重要影响因素；机非混合道是事故的危险因子，增大了侧面碰撞事故发生概率。研究结果可为交通隐患精准识别、交通事故主动预防以及交通设施科学设计提供理论依据和技术支撑。
- Abstract:
- In order to analyze the causes of typical traffic accident forms,based on the collinearity of traffic accident forms diagnosed by the optimal scale analysis method,the key influencing factors were screened.A disordered multiple classification Logit traffic accident cause model was constructed,then the parameters of the model were calibrated,and 100 traffic accident samples were selected to verify the accuracy of the model.The relative error of the model was only 4.0%,which could accurately analyze the causes of typical traffic accident forms.The results showed that the roadside and central isolation facilities and the lighting were the protective factors of accidents,which could effectively reduce the accident rate.The roadside trees were set unreasonably or not trimmed in time,so that the vehicles could not effectively identify the road information,which was an important influencing factor of frontal collision.The mixed lane of motor vehicle and non-motor vehicle was the risk factor of accidents,which increased the probability of side collision accidents.This study provides theoretical basis and technical support for the accurate identification of traffic hazards,active prevention of traffic accidents and scientific design of traffic facilities.
参考文献/References:
［1］国家统计局.中国统计年鉴［M］.北京：中国统计出版社,2020.
［2］高建刚,陈磊,陈宏云,等.国外乡村公路交通事故形态［J］.中外公路,2009,29(4):250-256.
GAO Jiangang,CHEN Lei,CHEN Hongyun,et al.Traffic accident patterns of foreign rural roads ［J］.Zhongguo Highway,2009,29(4):250-256.
［3］RAYNHAM P,UNWIN J,KHAZOVA M, et al.The role of lighting in road traffic collisions［J］.Lighting Research & Technology,2020,52(4)：1-10.
［4］邓瑶望,李凌宇,陈雨人.基于Logistic回归模型的三线城市道路事故数据分析［J］.交通信息与安全,2014,32(2):28-33.
DENG Yaowang,LI Lingyu,CHEN Yuren.Data analysis of road accidents in third tier cities based on logistic regression model ［J］.Traffic Information and Safety,2014,32(2):28-33.
［5］王义婷,贺玉龙,孙小端.高原双车道公路事故形态影响因素分析［J］.黑龙江交通科技,2017,40(11):8-10.
WANG Yiting,HE Yulong,SUN Xiaoduan.Analysis on influencing factors of accident form of two lane highway in plateau ［J］.Heilongjiang Traffic Science and Technology,2017,40(11):8-10.
［6］陆欢,戢晓峰,杨文臣,等.高原山区公路环境下交通事故形态致因分析［J］.中国安全科学学报,2019,29(5):44-49.
LU Huan,JI Xiaofeng,YANG Wenchen,et al.Cause analysis of traffic accidents in highway environment in plateau and mountainous areas ［J］.China Safety Science Journal,2019,29(5):44-49.
［7］陶刚,闫永刚,刘俊,等.基于粗糙集理论的交通事故形态成因分析［J］.交通标准化,2014,42(21):1-5，11.
TAO Gang,YAN Yonggang,LIU Jun,et al.Cause analysis of traffic accident form based on rough set theory ［J］.Traffic Standardization,2014,42(21):1-5,11.
［8］MALYSHKINA N V,MANNERING F L,TAR-KO A P.Markov switching negative binomial models:An application to vehicle accident frequencies［J］.Accident Analysis & Prevention,2009,41(2):217-226.
［9］王长君,王励旸,李瑞敏.道路因素对典型较严重道路交通事故严重性的影响分析［J］.交通信息与安全,2016,34(3):10-17.
WANG Changjun,WANG Liyang,LI Ruimin.Impact analysis of road factors on the severity of typical serious road traffic accidents ［J］.Traffic Information and Safety,2016,34(3):10-17.
［10］王羽尘,陆涛,马健霄,等.基于零膨胀模型的高速公路事故形态影响因素分析［J］.物流科技,2020,43(9):90-95.
WANG Yuchen,LU Tao,MA Jianxiao,et al.Analysis of influencing factors of expressway accident form based on zero expansion model ［J］.Logistics Technology,2020,43(9):90-95.
［11］MOHAMMAD R E.Assessing the interrelations of traffic collisions’ risk factors［J］.Proceedings of the Institution of Civil Engineers - Transport,2017，171：1-10.
［12］张文彤.SPSS统计分析教程［M］.北京：北京希望电子出版社，2002.
［13］王雅坤,卢昕玮,陈巧丽,等.外卖配送公共交通违法行为影响因素分析［J］.中国安全生产科学技术,2019,15(12):169-174.
WANG Yakun,LU Xinwei,CHEN Qiaoli,et al.Analysis on influencing factors of public transport violations in takeout distribution ［J］.Journal of Safety Science and Technology,2019,15(12):169-174.
［14］肖媛.车—车碰撞事故中驾乘人员伤害特征研究［D］.西安：长安大学,2012.
［15］王济川,郭志刚.Logistic回归模型-方法与应用［M］.北京:高等教育出版社,2001.
［16］王志如,高林源,王敏.无序多分类Logistic回归的地铁扶梯事故特征分析［J］.中国安全科学学报,2020,30(4):114-120.
WANG Zhiru,GAO Linyuan,WANG min.Analysis of subway escalator accident characteristics based on disordered multi classification logistic regression ［J］.China Safety Science Journal,2020,30(4):114-120.
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备注/Memo
- 备注/Memo:
-
收稿日期： 2021-08-28
* 基金项目： 国家自然科学基金项目（ZR2017MF011）;山东省自然科学基金项目（ZR2021QF110，ZR202103040503）；济南市科学技术局项目（2019GXRC022）
作者简介： 李泽文，硕士研究生，主要研究方向为交通运输规划与管理、交通安全，交通大数据分析等。
通信作者： 张萌萌，博士，教授，主要研究方向为智能交通、交通大数据分析。
