How Does Pedestrian-Driver Behavior Influence in the Number of Crashes? A Michigan’s Case Study

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY
Fadi Alhomaidat, Lusanni Acosta-Rodriguez
{"title":"How Does Pedestrian-Driver Behavior Influence in the Number of Crashes? A Michigan’s Case Study","authors":"Fadi Alhomaidat, Lusanni Acosta-Rodriguez","doi":"10.2478/ttj-2021-0012","DOIUrl":null,"url":null,"abstract":"Abstract This study provides with a safety assessment of the pedestrian’s crash data in one of the largest cities of the state of Michigan, Grand Rapids. Crash data reviewed included a 9-year period between years 2010 and 2018. Crash clusters with largest number of accidents were selected to perform analysis based on the normalization of crash with population (using Census Bureau information). Geographic Information System (GIS) software was used to gather this data using a 250-feet buffer around the clusters. Also, GIS was used to identify the infrastructure design and locations nearby the studied area (e.g. schools and hospitals) to understand the crash environments. Observation of the associated factors with pedestrian crashes were studied at the location of interest. An analysis of all safety efforts was completed and a list of recommendations and possible implementation strategies (e.g. pedestrian countermeasures). Finally, it was found that four types of pedestrian crashes were most representative that crashes involved left-turning vehicle, crashes involved right-turn vehicle, crashed involved pedestrian in crosswalk and through traffic, and pedestrian were not cross at designated cross location","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"4 1","pages":"152 - 162"},"PeriodicalIF":1.1000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport and Telecommunication Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ttj-2021-0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract This study provides with a safety assessment of the pedestrian’s crash data in one of the largest cities of the state of Michigan, Grand Rapids. Crash data reviewed included a 9-year period between years 2010 and 2018. Crash clusters with largest number of accidents were selected to perform analysis based on the normalization of crash with population (using Census Bureau information). Geographic Information System (GIS) software was used to gather this data using a 250-feet buffer around the clusters. Also, GIS was used to identify the infrastructure design and locations nearby the studied area (e.g. schools and hospitals) to understand the crash environments. Observation of the associated factors with pedestrian crashes were studied at the location of interest. An analysis of all safety efforts was completed and a list of recommendations and possible implementation strategies (e.g. pedestrian countermeasures). Finally, it was found that four types of pedestrian crashes were most representative that crashes involved left-turning vehicle, crashes involved right-turn vehicle, crashed involved pedestrian in crosswalk and through traffic, and pedestrian were not cross at designated cross location
行人驾驶行为对交通事故数量有何影响?密歇根州的案例研究
摘要:本研究对密歇根州最大的城市之一大急流城的行人碰撞数据进行了安全评估。审查的坠机数据包括2010年至2018年的9年时间。选择事故数量最多的碰撞集群,根据碰撞与人口的归一化(使用人口普查局信息)进行分析。使用地理信息系统(GIS)软件在集群周围250英尺的缓冲区收集这些数据。此外,GIS还用于确定研究区域附近的基础设施设计和位置(例如学校和医院),以了解碰撞环境。在感兴趣的地点观察与行人碰撞相关的因素。完成了对所有安全工作的分析,并列出了建议和可能的实施策略(例如行人对策)。结果表明,行人碰撞事故最具代表性的类型为左转弯车辆碰撞事故、右转弯车辆碰撞事故、人行横道行人碰撞事故、行人未在指定的十字路口过马路事故
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信