Xiaojian Hu , Haoran Deng , Huasheng Liu , Jiayi Zhou , Hongyu Liang , Long Chen , Li Zhang
{"title":"Assessment of the collision risk on the road around schools during morning peak period","authors":"Xiaojian Hu , Haoran Deng , Huasheng Liu , Jiayi Zhou , Hongyu Liang , Long Chen , Li Zhang","doi":"10.1016/j.aap.2024.107854","DOIUrl":null,"url":null,"abstract":"<div><div>Road traffic injury is a leading cause of death among pupils worldwide, particularly around primary schools during rush hours, where heavy traffic, frequent parking, and unpredictable patterns increase accident risk. To mitigate these risks, this study employs the peak-over-threshold method with the generalized pareto distribution to evaluate the spatial–temporal collision risk near primary schools during rush hours. Specifically, the research quantifies collision risks spatially across different road segments (upstream, midstream, and downstream) and lanes (outside, middle, and inside). Temporally, it assesses risks during vehicle gathering, peak vehicle concentration, and vehicle dissipation phases. Results show that collision risk decreases from upstream to downstream but increases from the outside lane to the inside lane. Moreover, collision risks are highest in the middle and outside lanes during the gathering and peak periods in upstream and midstream sections, and in the middle lanes during the dissipation phase. These findings recommend adding parking spaces, minimizing lane changes, reducing speed limits in upstream and midstream, and increasing speed limits in downstream and inside lanes. These measures aim to improve road traffic management policies around schools.</div></div>","PeriodicalId":6926,"journal":{"name":"Accident; analysis and prevention","volume":"210 ","pages":"Article 107854"},"PeriodicalIF":5.7000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accident; analysis and prevention","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0001457524003993","RegionNum":1,"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
Road traffic injury is a leading cause of death among pupils worldwide, particularly around primary schools during rush hours, where heavy traffic, frequent parking, and unpredictable patterns increase accident risk. To mitigate these risks, this study employs the peak-over-threshold method with the generalized pareto distribution to evaluate the spatial–temporal collision risk near primary schools during rush hours. Specifically, the research quantifies collision risks spatially across different road segments (upstream, midstream, and downstream) and lanes (outside, middle, and inside). Temporally, it assesses risks during vehicle gathering, peak vehicle concentration, and vehicle dissipation phases. Results show that collision risk decreases from upstream to downstream but increases from the outside lane to the inside lane. Moreover, collision risks are highest in the middle and outside lanes during the gathering and peak periods in upstream and midstream sections, and in the middle lanes during the dissipation phase. These findings recommend adding parking spaces, minimizing lane changes, reducing speed limits in upstream and midstream, and increasing speed limits in downstream and inside lanes. These measures aim to improve road traffic management policies around schools.
期刊介绍:
Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.