基于Logistic的城市公交事故严重程度影响因素分析：以广东省为例

林庆丰; 邓院昌

doi:10.13471/j.cnki.acta.snus.2019.04.10.2019B035

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基于Logistic的城市公交事故严重程度影响因素分析：以广东省为例

研究论文 | 更新时间：2023-11-01

- 基于Logistic的城市公交事故严重程度影响因素分析：以广东省为例
- Analysis of factors affecting city bus accident severity based on Logistic model:a case in Guangdong Province
- 中山大学学报(自然科学版) 2020年59卷第4期页码：120-127
- 作者机构：
  
  中山大学智能工程学院//广东省智能交通系统重点实验室，广东广州 510006
- 作者简介：
  
  林庆丰（1992年生），男；研究方向：交通心理与行为、交通安全；E-mail: linqfeng@mail2.sysu.edu.cn
  邓院昌（1972年生），男；研究方向：交通心理与行为、交通安全；E-mail: dengych@mail.sysu.edu.cn
- 基金信息：
  
  广东省科技计划项目(2017B010111007)
- DOI：10.13471/j.cnki.acta.snus.2019.04.10.2019B035
  中图分类号： U491.3
- 纸质出版日期：2020-07-20，
  
  收稿日期：2019-04-10，
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林庆丰,邓院昌.基于Logistic的城市公交事故严重程度影响因素分析：以广东省为例[J].中山大学学报(自然科学版),2020,59(04):120-127.

LIN Qingfeng,DENG Yuanchang.Analysis of factors affecting city bus accident severity based on Logistic model:a case in Guangdong Province[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(04):120-127.
林庆丰,邓院昌.基于Logistic的城市公交事故严重程度影响因素分析：以广东省为例[J].中山大学学报(自然科学版),2020,59(04):120-127. DOI： 10.13471/j.cnki.acta.snus.2019.04.10.2019B035.

LIN Qingfeng,DENG Yuanchang.Analysis of factors affecting city bus accident severity based on Logistic model:a case in Guangdong Province[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(04):120-127. DOI： 10.13471/j.cnki.acta.snus.2019.04.10.2019B035.

摘要

以2008～2017年间广东省发生的5 869起公交事故为基础，将其分为车辆间事故、车辆‒行人事故和单车事故等3类，以事故严重程度为因变量，选取年龄、行驶状态、道路线形、区域、照明条件和事故形态等因素为候选自变量，分别建立Logistic模型进行对比分析，以探究人、车、路和环境等因素对公交事故严重程度的影响。结果表明：除单车事故模型外，各模型拟合度良好。不同形态的公交事故严重程度影响因素之间存在异同性。行驶状态、道路类型、区域和时段等对除单车事故模型外的其余模型因变量均具有显著影响；而道路线形仅对整体事故严重程度具有显著影响，路口路段类型和节假日类型仅对车辆间事故严重程度具有显著影响。研究结果可为降低公交事故严重程度提供一定参考依据。

Abstract

In order to explore the impact of risk factors

i.e. human

vehicle

road and environment

on bus accident severity

5 869 bus accidents happening in Guangdong Province during 2008 and 2017 were selected and then divided into 3 categories which were accidents between vehicles

vehicle-pedestrian accidents and single vehicle accidents. Taking accident severity as the dependent variable and selecting age

vehicle maneuver

road alignment

region

lighting condition and accident modalities etc as the independent variables

Logistic models were constructed for comparative analysis. The results show that: The models fit the data properly except the model of single vehicle accidents. The risk factors of bus accident severity had similarities and differences among accidents with different modalities. Vehicle maneuver

road type

region and time were significantly correlated with bus accident severity except in the model of single vehicle accidents. Road alignment only significantly influenced the overall bus accident severity

while type of crash location and holiday only had significant impact on severity of accidents between vehicles. The results can provide references for reducing bus accident severity.

关键词

交通安全公交客运事故严重程度K-means聚类Logistic回归模型

Keywords

traffic safetybus transitaccident severityK-means clusteringLogistic regression model

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