Identifying relevant patterns between injury crashes and road safety inspection deficiencies

IF 3.9 2区 工程技术 Q1 ERGONOMICS Journal of Safety Research Pub Date : 2025-02-20 DOI:10.1016/j.jsr.2025.02.014
Rubén Gutiérrez-Rodríguez , Eduardo Rojí , Jesús Cuadrado
{"title":"Identifying relevant patterns between injury crashes and road safety inspection deficiencies","authors":"Rubén Gutiérrez-Rodríguez ,&nbsp;Eduardo Rojí ,&nbsp;Jesús Cuadrado","doi":"10.1016/j.jsr.2025.02.014","DOIUrl":null,"url":null,"abstract":"<div><div><em>Introduction:</em> Crashes are the result of a complex interaction of many factors. However, the severity of injuries is often influenced by road conditions. <em>Method:</em> 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. <em>Results:</em> 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. <em>Conclusions and practical applications:</em> 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.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"93 ","pages":"Pages 99-134"},"PeriodicalIF":3.9000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Safety Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022437525000167","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ERGONOMICS","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.40
自引率
4.90%
发文量
174
审稿时长
61 days
期刊介绍: Journal of Safety Research is an interdisciplinary publication that provides for the exchange of ideas and scientific evidence capturing studies through research in all areas of safety and health, including traffic, workplace, home, and community. This forum invites research using rigorous methodologies, encourages translational research, and engages the global scientific community through various partnerships (e.g., this outreach includes highlighting some of the latest findings from the U.S. Centers for Disease Control and Prevention).
期刊最新文献
Investigating the impact of safety warning system on road user behaviors using vision-based tracking algorithm How an institutional setting shape and limit the mitigation of accidents in complex work settings How safety leadership styles impact safety performance: A case study A comparative anthropometric analysis of U.S. female firefighters versus the general female population Prediction and interpretation of crash severity using machine learning based on imbalanced traffic crash data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1