Spatiotemporal Analysis of Property Damage-only Accident Hotspots Using GIS in Sharjah, UAE

IF 1 Q4 ENGINEERING, CIVIL

Jordan Journal of Civil Engineering Pub Date : 2024-04-12 DOI:10.14525/jjce.v18i2.13

Lubna Obaid

{"title":"Spatiotemporal Analysis of Property Damage-only Accident Hotspots Using GIS in Sharjah, UAE","authors":"Lubna Obaid","doi":"10.14525/jjce.v18i2.13","DOIUrl":null,"url":null,"abstract":"Recent research on road-traffic accidents (RTAs) has become a focal point for safety and transportation experts, focusing on understanding their rates, characteristics, causes and effects. A significant development in this field is using Geographic Information Systems (GISs) to analyze RTAs. The primary objective of this study is to introduce a GIS-based approach for the comprehensive analysis of the spatial and temporal distribution of RTAs, specifically Property Damage-only (PDO) accidents. This research also endeavors to pinpoint accident-prone areas, commonly called ‘hotspots,’ and high-density accident clusters. This was achieved through spatialautocorrelation analysis, incorporating techniques, including inverse distance weighting, Moran’s index and the Getis Ord Gi* statistic. By focusing on eight years of accident data (2015-2022) in the Sharjah Emirate of the United Arab Emirates, this study contributes to a deeper understanding of the distribution of traffic accidents. The analysis of temporal patterns revealed that the monthly distribution of PDO accidents showed the lowest frequencies of incidents in July, August and September throughout the study period. Furthermore, PDO accident frequencies peaked in 2015, followed by a decline until 2018, after which there was a slight increase until the conclusion of the analysis in 2022. Spatial analysis highlighted significant clustering of PDO-related RTAs. Hotspot analysis specifically identified downtown areas of Sharjah city as more prone to PDO accidents than other regions. The findings underscore the effectiveness of the analytical methods employed, which can be utilized for identifying and prioritizing accident hotspots. Keywords: Road-traffic accidents, Property Damage Only (PDO), Spatial analysis, Hotspot analysis, GIS.","PeriodicalId":51814,"journal":{"name":"Jordan Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jordan Journal of Civil Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14525/jjce.v18i2.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}

引用次数: 0

Abstract

Recent research on road-traffic accidents (RTAs) has become a focal point for safety and transportation experts, focusing on understanding their rates, characteristics, causes and effects. A significant development in this field is using Geographic Information Systems (GISs) to analyze RTAs. The primary objective of this study is to introduce a GIS-based approach for the comprehensive analysis of the spatial and temporal distribution of RTAs, specifically Property Damage-only (PDO) accidents. This research also endeavors to pinpoint accident-prone areas, commonly called ‘hotspots,’ and high-density accident clusters. This was achieved through spatialautocorrelation analysis, incorporating techniques, including inverse distance weighting, Moran’s index and the Getis Ord Gi* statistic. By focusing on eight years of accident data (2015-2022) in the Sharjah Emirate of the United Arab Emirates, this study contributes to a deeper understanding of the distribution of traffic accidents. The analysis of temporal patterns revealed that the monthly distribution of PDO accidents showed the lowest frequencies of incidents in July, August and September throughout the study period. Furthermore, PDO accident frequencies peaked in 2015, followed by a decline until 2018, after which there was a slight increase until the conclusion of the analysis in 2022. Spatial analysis highlighted significant clustering of PDO-related RTAs. Hotspot analysis specifically identified downtown areas of Sharjah city as more prone to PDO accidents than other regions. The findings underscore the effectiveness of the analytical methods employed, which can be utilized for identifying and prioritizing accident hotspots. Keywords: Road-traffic accidents, Property Damage Only (PDO), Spatial analysis, Hotspot analysis, GIS.

查看原文本刊更多论文

利用地理信息系统对阿联酋沙迦仅造成财产损失的事故热点进行时空分析

最近，道路交通事故（RTAs）研究已成为安全和交通专家关注的焦点，其重点是了解道路交通事故的发生率、特点、原因和影响。利用地理信息系统（GIS）分析道路交通事故是这一领域的一项重要发展。本研究的主要目的是引入一种基于地理信息系统的方法，对区域交通事故（特别是仅造成财产损失的事故）的时空分布进行综合分析。本研究还致力于确定事故易发区域（通常称为 "热点"）和高密度事故集群。通过空间相关性分析，并结合反距离加权、莫兰指数和 Getis Ord Gi* 统计等技术，实现了这一目标。本研究侧重于阿拉伯联合酋长国沙迦酋长国八年（2015-2022 年）的事故数据，有助于加深对交通事故分布的理解。对时间模式的分析表明，在整个研究期间，PDO 事故的月度分布显示，7 月、8 月和 9 月的事故频率最低。此外，PDO 事故频率在 2015 年达到峰值，随后出现下降，直至 2018 年，之后又略有上升，直至 2022 年分析结束。空间分析凸显了与PDO相关的区域交通事故的显著聚集性。热点分析特别指出，与其他地区相比，沙迦市中心地区更容易发生 PDO 事故。研究结果强调了所采用的分析方法的有效性，可用于识别事故热点并确定其优先次序。关键词道路交通事故、财产损失（PDO）、空间分析、热点分析、地理信息系统。

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

Jordan Journal of Civil Engineering ENGINEERING, CIVIL-

CiteScore

2.10

自引率

27.30%

发文量

期刊介绍： I am very pleased and honored to be appointed as an Editor-in-Chief of the Jordan Journal of Civil Engineering which enjoys an excellent reputation, both locally and internationally. Since development is the essence of life, I hope to continue developing this distinguished Journal, building on the effort of all the Editors-in-Chief and Editorial Board Members as well as Advisory Boards of the Journal since its establishment about a decade ago. I will do my best to focus on publishing high quality diverse articles and move forward in the indexing issue of the Journal.