{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T22:37:14Z","timestamp":1782772634187,"version":"3.54.5"},"reference-count":42,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T00:00:00Z","timestamp":1649980800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Scientific Research Support Fund at the Ministry of Higher Education in Jordan","award":["SOCI\/1\/6\/2029"],"award-info":[{"award-number":["SOCI\/1\/6\/2029"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This paper aims to explore the spatiotemporal pattern of traffic accidents using five years of data between 2015 and 2019 for the Irbid Governorate, Jordan. The spatial pattern of traffic-accident hotspots and their temporal evolution were identified along the internal and arterial roads network in the study area using spatial autocorrelation (Global Moran I index) and local hotspot analysis (Getis\u2013Ord Gi*) techniques within the GIS environment. The study showed a gradual increase in the reported traffic accidents of approximately 38% at the year level. The analysis of traffic accidents at the severity level showed a distinguished spatial distribution of hotspot locations. The less severe traffic accidents (~95%) occurred on the internal road network in the Irbid Governorate\u2019s towns where the highest traffic volume exist. The spatial autocorrelation analysis and the Getis\u2013Ord Gi* statistics with 99% of significance level showed clustering patterns of traffic accidents along the internal and the arterial road network segments. Between 2015 and 2019, a notable evolution of the traffic-accident hotspots clusters was pronounced. The results can be used to guide traffic managers and decision makers to take appropriate actions for enhancing the hotspot locations and improving their traffic safety status.<\/jats:p>","DOI":"10.3390\/ijgi11040260","type":"journal-article","created":{"date-parts":[[2022,4,18]],"date-time":"2022-04-18T04:21:28Z","timestamp":1650255688000},"page":"260","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["Spatiotemporal Analysis of Traffic Accidents Hotspots Based on Geospatial Techniques"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2162-7385","authenticated-orcid":false,"given":"Khaled","family":"Hazaymeh","sequence":"first","affiliation":[{"name":"Department of Geography, Yarmouk University, P.O. Box 566, Irbid 21163, Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3263-6121","authenticated-orcid":false,"given":"Ali","family":"Almagbile","sequence":"additional","affiliation":[{"name":"Department of Geography, Yarmouk University, P.O. Box 566, Irbid 21163, Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4046-8965","authenticated-orcid":false,"given":"Ahmad H.","family":"Alomari","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Yarmouk University, P.O. Box 566, Irbid 21163, Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yan, M., Chen, W., Wang, J., Zhang, M., and Zhao, L. (2021). Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China. 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