|本期目录/Table of Contents|

[1]乔洁,曾凯凯,朱屹晨,等.大城市早晚高峰时段交通事故影响因素及异质性分析*——以郑州市为例[J].中国安全生产科学技术,2025,21(3):201-208.[doi:10.11731/j.issn.1673-193x.2025.03.026]
 QIAO Jie,ZENG Kaikai,ZHU Yichen,et al.Analysis on influencing factors and heterogeneity of traffic accidents during morning and evening rush hours in large cities: taking Zhengzhou as example[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2025,21(3):201-208.[doi:10.11731/j.issn.1673-193x.2025.03.026]
点击复制

大城市早晚高峰时段交通事故影响因素及异质性分析*——以郑州市为例
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年3期
页码:
201-208
栏目:
职业安全卫生管理与技术
出版日期:
2025-03-31

文章信息/Info

Title:
Analysis on influencing factors and heterogeneity of traffic accidents during morning and evening rush hours in large cities: taking Zhengzhou as example
文章编号:
1673-193X(2025)-03-0201-08
作者:
乔洁曾凯凯朱屹晨刘永杰赵晨刘永涛仇世侃
(1.长安大学 汽车学院,陕西 西安 710064;
2.长安大学 长安都柏林国际交通学院,陕西 西安 710064;
3.中国安全生产科学研究院,北京 100012)
Author(s):
QIAO Jie ZENG Kaikai ZHU Yichen LIU Yongjie ZHAO Chen LIU Yongtao QIU Shikan
(1.School of Automobile,Chang’an University,Xi’an Shaanxi 710064,China;
2.Chang’an Dublin International College of Transportation,Chang’an University,Xi’an Shaanxi 710064,China;
3.China Academy of Safety Science and Technology,Beijing 100012,China)
关键词:
大城市交通事故早晚高峰二元逻辑回归模型事故影响因素异质性
Keywords:
traffic accidents in large cities morning and evening rush hours binary logistic regression model accident influencing factor heterogeneity
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2025.03.026
文献标志码:
A
摘要:
为分析大城市早晚高峰时段交通事故影响因素及异质性,采用郑州市2016—2020年交通事故数据,探讨早晚高峰时段交通事故的时空分布特征,应用二元逻辑回归模型,以事故结果为因变量,以天气、季节、道路横断面等17个因素为自变量,研究早晚高峰时段各因素对事故结果的影响。研究结果表明:早晚高峰交通事故在时空分布特征上存在差异,部分因素表现出异质性,具体表现为晚高峰时,机非混合道路、非机动车道、高架路段、一般弯道、能见度101~200 m、碰撞固定物、刮撞和碾压行人对死亡事故有显著影响;早高峰时,机非隔离道路、碰撞运动车辆对死亡事故有显著影响。早晚高峰时,非机动车道和非机动车驾驶员导致的事故对死亡事故影响一致,但影响程度存在差异。研究结果可为大城市有关部门制定和改善早晚高峰时段的交通事故防范措施提供参考。
Abstract:
To investigate the influencing factors and heterogeneity of traffic accidents during the morning and evening rush hours in large cities,the traffic accident data in Zhengzhou from 2016 to 2020 was utilized to analyze the spatial and temporal distribution characteristics of traffic accidents during the morning and evening rush hours.By applying the binary logistic regression model,the influence of each factor on the accident results during the morning and evening rush hours was studied with taking the accident results as the dependent variable,as well as 17 factors,including weather,season,and road cross-section,as independent variables.The results show that there are difference in the spatial and temporal distribution characteristics of traffic accidents in the morning and evening rush hours,and some factors present the heterogeneity.During the evening rush hour,the mixed road of motor vehicles and non-motor vehicles,non-motor vehicle lane,elevated road section,general curved road,visibility of 101~200 m,collision of fixed objects,scraping and rolling pedestrian have significant influence on the death accidents.During the morning rush hour,the separated road of motor vehicles and non-motor vehicles and collision with moving vehicles significantly influence the death accidents.During the morning and evening rush hours,the accidents caused by non-motor lane and non-motor drivers have the same influence on the death accidents,but the influencing degree is different.The research results can provide reference for the relevant departments of big cities to formulate and improve the traffic accident prevention measures in the morning and evening rush hours.

参考文献/References:

[1]中华人民共和国中央人民政府.国务院关于调整城市规模划分标准的通知[EB/OL].(2014-11-20)[2025-02-19].https://www.gov.cn/zhengce/content/2014-11/20/content_9225.htm.
[2]公安部交通管理局.中国道路交通事故统计年报[R].北京:公安部交通管理局,2020.
[3]ADEYEMI O J,ARIF A A,PAUL R.Exploring the relationship of rush hour period and fatal and non-fatal crash injuries in the U.S.:a systematic review and meta-analysis[J].Accident Analysis & Prevention,2021,163:106462-.
[4]朱彤,朱秭硕,张杰,等.高峰期电动二轮车驾驶人事故伤害致因及随机参数分析[J].安全与环境学报,2022,22(1):271-280. ZHU Tong,ZHU Zishuo,ZHANG Jie,et al.Analysis of electric bicyclist injury severity during traffic peak period with random parameters[J].Journal of Safety and Environment,2022,22(1):271-280.
[5]MA Q,HUANG G,TANG X.GIS-based analysis of spatial-temporal correlations of urban traffic accidents[J].European Transport Research Review,2021;13:1-11.
[6]戢晓峰,祝皋.超大城市昼夜交通事故严重程度致因对比分析——以深圳市为例[J].中国安全生产科学技术,2020,16(2):142-148. JI Xiaofeng,ZHU Gao.Comparative analysis on the causes of severity of traffic accidents at day and night in megacities:taking Shenzhen as example[J].Journal of Safety Science and Technology,2020,16(2):142-148.
[7]KHORASHADI A,NIEMEIER D,SHANKAR V,et al.Differences in rural and urban driver-injury severities in accidents involving large-trucks:an exploratory analysis[J].Accident Analysis & Prevention,2005,37(5):910-921.
[8]ALOGAILI A,MANNERING F.Differences between day and night pedestrian-injury severities:accounting for temporal and unobserved effects in prediction[J].Analytic Methods in Accident Research,2021,33:100201.
[9]ARIANNEZHAD A,WU Y J.Effects of heavy rainfall in different light conditions on crash severity during Arizona’s monsoon season[J].Journal of Transportation Safety & Security,2019,11(6):579-594.
[10]SONG L,LI Y,FAN W D,etal.Mixed logit approach to analyzing pedestrian injury severity in pedestrian-vehicle crashes in North Carolina:considering time-of-day and day-of-week[J].Traffic Injury Prevention,2021,22(7):524-529.
[11]郑州市生态环境局.关于市区道路交通管理措施的通告[EB/OL].(2021-11-22)[2024-10-05].https://public.zhengzhou.gov.cn/D0105Y/6085984.jhtml.
[12]ZENG Q,WANG Q,ZHANG K,WONG SC,XU P.Analysis of the injury severity of motor vehicle-pedestrian crashes at urban intersections using spatiotemporal logistic regression models[J].Accident Analysis & Prevention,2023.189:107119.
[13]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. 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.
[14]张洁,张萌萌,李虹燕.基于二元Logistic模型的城市道路交通事故严重程度分析[J].交通信息与安全,2022,40(5):70-79. ZHANG Jie,ZHANG Mengmeng,LI Hongyan.An analysis of severity of traffic accidents on urban roadways based on Binary Logistic Models[J].Journal of Transport Information and Safety,2022,40(5):70-79.
[15]MANNERING F.Temporal instability and the analysis of highway accident data [J].Analytic Methods in Accident Research,2018,17:1-13.
[16]WASHINGTON S P,KARLAFTIS M G,MANNERING F L.Statistical and econometric methods for transportation data analysis[M].New York:CRC Press,2010:333-334.
[17]YU M,ZHENG C,MA C.Analysis of injury severity of rear-end crashes in work zones:a random parameters approach with heterogeneity in means and variances[J].Analytic Methods in Accident Research,2020,27:100-126.
[18]熊睿,邓院昌.疲劳驾驶交通事故的严重程度影响因素分析[J].中国安全生产科学技术,2022,18(4):20-26. XIONG Rui,DENG Yuanchang.Analysis on factors affecting severity of traffic accidents caused by fatigue driving[J].Journal of Safety Science and Technology,2022,18(4):20-26.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期: 2024-07-12
* 基金项目: 国家重点研发计划项目(2021YFB2501202);陕西省“两链”融合重点专项揭榜挂帅项目(2023JBGS-13);陕西省自然科学基础研究计划项目(2023-JC-QN-0664);长安大学中央高校基本科研业务费专项资金项目(300102223204)
作者简介: 乔洁,博士,高级工程师,主要研究方向为道路交通事故数据挖掘。
通信作者: 仇世侃,硕士,工程师,主要研究方向为汽车检测、交通事故防控。
更新日期/Last Update: 2025-03-28