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Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective

机译:影响西班牙克罗斯敦道路交通事故严重程度的危险因素分析:司机的观点

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摘要

Globally, road traffic accidents are an important public health concern which needs to be tackled. A multidisciplinary approach is required to understand what causes them and to provide the evidence for policy support. In Spain, one of the roads with the highest fatality rate is the crosstown road, a particular type of rural road in which urban and interurban traffic meet, producing conflicts and interference with the population. This paper contributes to the previous existing research on the Spanish crosstown roads, providing a new vision that had not been analyzed so far: the driver’s perspective. The main purpose of the investigation is to identify the contributing factors that increment the likelihood of a fatal outcome based on single-vehicle crashes, which occurred on Spanish crosstown roads in the period 2006-2016. In order to achieve this aim, 1064 accidents have been analyzed, applying a latent cluster analysis as an initial tool for the fragmentation of crashes. Next, a multinomial logit (MNL) model was applied to find the most important factors involved in driver injury severity. The statistical analysis reveals that factors such as lateral crosstown roads, low traffic volumes, higher percentages of heavy vehicles, wider lanes, the non-existence of road markings, and finally, infractions, increase the severity of the drivers’ injuries.
机译:在全球范围内,道路交通事故是一个重要的公共卫生问题,需要解决。需要多学科方法来了解导致他们的原因并提供政策支持的证据。在西班牙,其中一条具有最高死亡率的道路是克罗斯斯敦路,一条特殊类型的农村公路,其中城市和城市交通符合,产生冲突和对人口的干扰。本文有助于对西班牙克罗斯斯敦道路的现有研究,提供迄今未分析的新视觉:驾驶员的观点。调查的主要目的是确定基于单车崩溃的致命结果增加的贡献因素,在2006 - 2016年期间,在西班牙克罗斯敦道路上发生。为了实现这一目标,已经分析了1064条事故,将潜在的聚类分析应用于崩溃碎片的初始工具。接下来,应用多项式Lo​​git(MNL)模型来查找司机损伤严重程度中涉及的最重要因素。统计分析揭示了横向交叉道路,交通量低,交通量低,重型车辆百分比,更宽的车道,道路标记的不存在,以及最后,违规,增加司机损伤的严重程度。

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