用结构方程模型分析行人碰撞事故严重程度的新方法。

Journal of injury & violence research Pub Date : 2021-01-01 Epub Date: 2020-11-22 DOI:10.5249/jivr.v13i1.1545
Ali Tavakoli Kashani, Mahsa Jafari, Moslem Azizi Bondarabadi
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引用次数: 4

摘要

背景:根据伊朗官方统计数据,2018年道路交通事故造成1.7万人死亡,其中25%的事故死亡人数属于行人。在大多数与行人安全相关的研究中,几乎只考虑交通碰撞的一个方面(如伤害或碰撞严重程度)进行调查。为了对事故进行完整的研究,可以利用涉及事故不同方面的事故规模。事故规模是根据死亡人数和受伤人数以及撞车事故中受损和涉及车辆的数量来描述的。方法:由于事故规模具有多指标性,且不能直接测量,传统方法无法应用。因此,本研究通过结构方程模型对影响行人碰撞事故规模的因素进行了研究。为了本研究的目的,使用伊斯法罕省发生的3718例行人碰撞数据进行建模。自变量包括天气状况、路面状况、时间、水平和垂直方向、道路类型和位置、驾驶员的性别和年龄、车辆类型、行人的年龄、性别和服装颜色。结果:高速公路、行人隐身、女性和老年行人、重型车辆、老年和女性驾驶员与行人碰撞事故规模增加有关。这些结果表明,上述变量与较高的受伤人数、死亡人数、涉及的车辆数量和碰撞中损坏的车辆数量有关。结论:本研究表明,考虑公路安全改善措施,社会上人们的交通安全教育,行人和机动车交通流的分离,以及在政策和方案中考虑老年人对减轻事故规模的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A new approach in analyzing the accident severity of pedestrian crashes using structural equation modeling.

A new approach in analyzing the accident severity of pedestrian crashes using structural equation modeling.

A new approach in analyzing the accident severity of pedestrian crashes using structural equation modeling.

Background: According to official statistics in Iran, there were 17000 fatalities in road traffic crashes in 2018 that 25% of all crash fatalities belong to pedestrians. In most of the researches related to pedestrians' safety, one aspect of the traffic crash (e.g. the injury or crash severity) is almost considered for the investigation. In order to perform a complete study of the crash, accident size can be utilized which involves different aspects of the crash. Accident size is described in terms of the number of fatalities and injured individuals and the number of damaged and involved vehicles in a crash.

Methods: According to the fact that accident size has multiple indicators and it is not measured directly, traditional methodologies cannot be applied. So, in the present study the effective factors on the accident size of pedestrian crashes are investigated through structural equation modeling. For the purpose of this study, 3718 pedestrian-involved crash data occurred in Isfahan province is used for the modeling. The independent variables are weather conditions, road surface conditions, time, horizontal and vertical alignments, road type and location, driver's gender and age, vehicle type, pedestrian's age, gender and clothing color.

Results: The results indicated that highways, the pedestrians' invisibility, female and old-aged pedestrians, heavy vehicles, old-aged and female drivers are related to the increase of the accident size in pedestrian crashes. These results denote that the mentioned variables are associated with the higher number of injuries, fatalities, the higher number of involved and damaged vehicles in a crash.

Conclusions: Present study shows the importance of considering safety improvement measures in highways, educating the people in the society about the traffic safety, the separation of pedestrian and motor vehicle traffic flow and considering the old people in policies and programs for mitigating the accident size.

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