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识别伤害事故与道路安全检查缺陷之间的相关模式。

Identifying relevant patterns between injury crashes and road safety inspection deficiencies.

作者信息

Gutiérrez-Rodríguez Rubén, Rojí Eduardo, Cuadrado Jesús

机构信息

University of the Basque Country, Department of Mechanical Engineering, Ingeniero Torres Quevedo Plaza, 1, 48013 Bilbao, Spain.

出版信息

J Safety Res. 2025 Jul;93:99-134. doi: 10.1016/j.jsr.2025.02.014. Epub 2025 Feb 20.

Abstract

INTRODUCTION

Crashes are the result of a complex interaction of many factors. However, the severity of injuries is often influenced by road conditions.

METHOD

Data mining techniques, in particular Association Rule Mining (ARM), help to uncover non-trivial patterns in crash data, providing essential information for effective countermeasures to improve road safety and reduce crash severity. Using ARM, this study analyzes the relationship between crash severity and factors such as road deficiencies identified during safety inspections (Element Subject to Improvement or ESI) on two roads in Spain.

RESULTS

The primary findings reveal a strong link between vulnerable road users (pedestrians, cyclists, and motorcyclists) and crash severity. These results align with the Strategic Plan of the Basque Country, which aims to reduce severe road injuries by 50% by 2030, identifying the need for specific interventions to protect this type of user. Pedestrian casualty crashes are linked to inadequate restraint systems, while bicycle-related crashes are associated with glare from road orientation, inadequate shoulders, and inappropriate barriers. Unchanneled access points on roads also pose risks for cyclists. For motorcycles, factors such as inadequate speed limitations, poor shoulder design, and obsolete or inadequate restraint systems are strongly associated with crash severity. Poor signage, illegible road markings, water accumulation, and inadequate transport stops further contribute to increased crash severity.

CONCLUSIONS AND PRACTICAL APPLICATIONS

Based on these findings, key countermeasures should focus on protecting vulnerable road users. Recommendations include installing pedestrian-friendly barriers and clear pedestrian pathways, widening shoulders, implementing anti-glare barriers for cyclists, and adding motorcycle-friendly restraint systems. Dynamic speed controls and better road signage are critical for reducing risks to motorcyclists. Other important measures include improving drainage systems to prevent water accumulation and redesigning public transport stops for safer bus merging areas. These targeted interventions can significantly reduce crash severity and support broader road safety goals.

摘要

引言

撞车事故是多种因素复杂相互作用的结果。然而,伤害的严重程度往往受道路状况影响。

方法

数据挖掘技术,特别是关联规则挖掘(ARM),有助于在撞车数据中发现重要模式,为提高道路安全和降低撞车严重程度的有效对策提供关键信息。本研究运用ARM分析了西班牙两条道路上撞车严重程度与安全检查中发现的道路缺陷等因素(需改进项目或ESI)之间的关系。

结果

主要研究结果显示弱势道路使用者(行人、骑自行车者和骑摩托车者)与撞车严重程度之间存在紧密联系。这些结果与巴斯克地区的战略计划一致,该计划旨在到2030年将严重道路伤害减少50%,表明需要采取特定干预措施来保护这类使用者。行人伤亡撞车事故与约束系统不足有关,而与自行车相关的撞车事故则与道路导向眩光、路肩不足和不合适的障碍物有关。道路上无通道的接入点也给骑自行车者带来风险。对于摩托车来说,诸如速度限制不足、路肩设计不佳以及过时或不足的约束系统等因素与撞车严重程度密切相关。标识不佳、道路标线难以辨认、积水以及公交站点不足进一步加剧了撞车的严重程度。

结论与实际应用

基于这些发现,关键对策应聚焦于保护弱势道路使用者。建议包括安装适合行人的障碍物和清晰的行人通道、拓宽路肩、为骑自行车者设置防眩光障碍物以及增加适合摩托车的约束系统。动态速度控制和更好的道路标识对于降低骑摩托车者的风险至关重要。其他重要措施包括改善排水系统以防止积水以及重新设计公交站点以实现更安全的公交合并区域。这些有针对性的干预措施可显著降低撞车严重程度并支持更广泛的道路安全目标。

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