中国单车与多车碰撞损伤严重程度差异特征分析

IF 2.4 3区 工程技术 Q3 TRANSPORTATION
Jingfeng Ma, Gang Ren, Haojie Li, S. Wang, Jingcai Yu
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引用次数: 8

摘要

摘要研究碰撞损伤严重程度与影响因素之间的关系对减轻道路交通事故损失具有重要意义。已有研究揭示了单车碰撞与多车碰撞的机理差异。本研究旨在探索时空、道路环境、驾驶员-车辆和碰撞特征的差异。基于中国18083起SV事故和22162起MV事故,对模型进行了比较,并对最优模型(部分比例赔率模型)进行了弹性分析。结果表明,时间、道路、速度、照明、天气与机动车碰撞损伤严重程度呈正相关,与机动车碰撞损伤严重程度呈负相关。面积、位置和角度仅对SV碰撞有意义,而白天、干扰和风力仅对MV碰撞有意义。结果表明,性别、年龄、碰撞、地点和时间对SV碰撞的影响较大,碰撞、年龄、性别、车辆和风对MV碰撞的影响较大。研究结果可为制定有效对策以减轻交通事故损失提供有见地的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing the differences of injury severity between single-vehicle and multi-vehicle crashes in China
Abstract It is of paramount importance for mitigating road crash losses to characterize the relationship between crash injury severities and contributing factors. Existing studies have revealed mechanism differences of single-vehicle (SV) and multi-vehicle (MV) crashes. This study positions itself at exploring the differences from spatiotemporal, road-environment, driver-vehicle, and collision characteristics. A model comparison as well as the elasticities for the optimal model (partial proportional odds model) is implemented based on 18,083 SV crashes and 22,162 MV crashes in China. The results evidenced the great differences that time, road, speed, lighting, and weather are found to have a positive correlation with only SV crash injury severity, yet negatively related with only MV crash injury severity. Area, location, and angle are significant only for SV crashes, while day, interference, and wind are significant only for MV crashes. The findings revealed that gender, age, collision, location, and time are more influencing factors in SV crashes, while collision, age, gender, vehicle, and wind have more contributions to MV crashes. The findings could provide an insightful reference for prioritizing effective countermeasures to mitigate traffic crash losses.
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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