{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T07:54:04Z","timestamp":1778054044431,"version":"3.51.4"},"reference-count":54,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2020,5,5]],"date-time":"2020-05-05T00:00:00Z","timestamp":1588636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,2,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Traffic accidents are a common problem in any transportation network. Road traffic accidents are predicted to be the seventh leading cause of deaths by the year 2030. Recently research in the integration of geographical information systems (GIS) for analyzing accidents, road design and safety management has increased considerably. The perpetual use of GIS tools, lead this study to propose the identification of accident hotspots by exploiting GIS technology coupled with kernel density estimation (KDE). This paper proposes the use of KDE technique and GIS technology to automatically identify the accident hotspots using UK as the study area. Analysis shows that most of the accidents occur when there is a 30 mph speed limit, a weekend, in the evening time, during the months of October and November, on the single carriageway, where there is \u2018T\u2019 or staggered junction and on \u2018A\u2019 road class. Moreover, this study also proposed techniques to classify the accident severity that is classified as either fatal, serious or slight. The driver behavior and environmental features achieved an accuracy up to 85% on the severity classification with Bagging technique. Further, the shortcomings, limitations and recommendations for future work are also identified.<\/jats:p>","DOI":"10.1093\/comjnl\/bxz158","type":"journal-article","created":{"date-parts":[[2020,1,19]],"date-time":"2020-01-19T12:07:55Z","timestamp":1579435675000},"page":"155-176","source":"Crossref","is-referenced-by-count":40,"title":["Spatiotemporal Clustering and Analysis of Road Accident Hotspots by Exploiting GIS Technology and Kernel Density Estimation"],"prefix":"10.1093","volume":"65","author":[{"given":"Syed Saqib Ali","family":"Kazmi","sequence":"first","affiliation":[{"name":"National University of Sciences & Technology, Islamabad, Pakistan"}]},{"given":"Mehreen","family":"Ahmed","sequence":"additional","affiliation":[{"name":"National University of Sciences & Technology, Islamabad, Pakistan"}]},{"given":"Rafia","family":"Mumtaz","sequence":"additional","affiliation":[{"name":"National University of Sciences & Technology, Islamabad, Pakistan"}]},{"given":"Zahid","family":"Anwar","sequence":"additional","affiliation":[{"name":"National University of Sciences & Technology, Islamabad, Pakistan"},{"name":"Fontbonne University, Saint Louis, MO. USA"}]}],"member":"286","published-online":{"date-parts":[[2020,5,5]]},"reference":[{"key":"2022021610433825500_ref1","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/S0001-4575(99)00094-9","article-title":"Modeling traffic accident occurrence and involvement","volume":"32","author":"Abdel-Aty","year":"2000","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref2","first-page":"43","article-title":"Development of a feasibility module for road traffic injuries surveillance","volume":"1","author":"Bela","year":"2009","journal-title":"ICMR Report"},{"key":"2022021610433825500_ref3","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1080\/13658810310001629619","article-title":"Intra-urban location and clustering of road accidents using GIS: a Belgian example","volume":"18","author":"Steenberghen","year":"2004","journal-title":"Int. J. Geogr. Inf. 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Support Syst."},{"key":"2022021610433825500_ref18","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.aap.2008.12.014","article-title":"Kernel density estimation and K-means clustering to profile road accident hotspots","volume":"41","author":"Anderson","year":"2009","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref19","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/jom.2007.9710827","article-title":"Comparison of spatial methods for measuring road accident \u2018hotspots\u2019: a case study of London","volume":"3","author":"Anderson","year":"2007","journal-title":"J. Maps"},{"key":"2022021610433825500_ref20","author":"Road Safety Data"},{"key":"2022021610433825500_ref21","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1111\/1467-9884.00276","article-title":"Models of Association versus causal models for contingency tables","volume":"50","author":"Tunaru","year":"2001","journal-title":"J. R. Stat. Soc. Ser. 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Prev."},{"key":"2022021610433825500_ref24","doi-asserted-by":"crossref","first-page":"1979","DOI":"10.1016\/j.aap.2011.05.016","article-title":"Predicting accident frequency at their severity levels and its application in site ranking using a two-stage mixed multivariate model","volume":"43","author":"Wang","year":"2011","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref25","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.aap.2011.11.006","article-title":"A multivariate tobit analysis of highway accident-injury-severity rates","volume":"45","author":"Anastasopoulos","year":"2012","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref26","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1023\/A:1021198509929","article-title":"Analyzing multiple-item measures of crime and deviance ii: Tobit regression analysis of transformed scores","volume":"18","author":"Osgood","year":"2002","journal-title":"J. Quant. 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Geogr."},{"key":"2022021610433825500_ref29","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-4145-2","volume-title":"Monte Carlo Methods","author":"Robert","year":"2004"},{"key":"2022021610433825500_ref30","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.aap.2013.03.025","article-title":"A simultaneous equations model of crash frequency by severity level for freeway sections","volume":"57","author":"Ye","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref31","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.aap.2013.06.021","article-title":"Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type","volume":"59","author":"Venkataraman","year":"2013","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/03081060.2015.1108080","article-title":"Predicting the safety impact of a speed limit increase using condition-based multivariate Poisson lognormal regression","volume":"39","author":"Imprialou","year":"2016","journal-title":"Transp. Plan. Technol."},{"key":"2022021610433825500_ref33","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.aap.2015.11.026","article-title":"Hotspots and social background of urban traffic crashes: a case study in Cluj-Napoca (Romania)","volume":"87","author":"Benedek","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref34","first-page":"191","article-title":"Kernel density estimation as a spatial-temporal data mining tool: exploring road traffic accident trends","author":"Sabel","year":"2006","journal-title":"GISRUK\u201906"},{"key":"2022021610433825500_ref35","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/j.aap.2005.03.003","article-title":"Risky driving habits and motor vehicle driver injury","volume":"37","author":"Blows","year":"2005","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref36","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1016\/S0001-4575(97)00011-0","article-title":"An investigation into the relationships between area social characteristics and road accident casualties","volume":"29","author":"Abdalla","year":"1997","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref37","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/S0001-4575(96)00084-X","article-title":"Fatal pedestrian accidents in France: A typological analysis","volume":"29","author":"Fontaine","year":"1997","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref38","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/BF00058655","article-title":"Bagging predictors","volume":"24","author":"Breiman","year":"1996","journal-title":"Mach. Learn."},{"key":"2022021610433825500_ref39","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","article-title":"The use of the area under the ROC curve in the evaluation of machine learning algorithms","volume":"30","author":"Bradley","year":"1997","journal-title":"Pattern Recognit."},{"key":"2022021610433825500_ref40","first-page":"2","volume-title":"The effects of speed limits on traffic accidents in Sweden","author":"Nilsson","year":"1981"},{"key":"2022021610433825500_ref41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ICASET.2018.8376902","article-title":"A prototype of an autonomous police car to reduce fatal accidents in Dubai","volume-title":"Advances in Science and Engineering Technology International Conferences (ASET), 2018","author":"Suwaidi","year":"2018"},{"key":"2022021610433825500_ref42","article-title":"Accidents Avoidance Using Smart Traffic Regulation System. 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Sensor Netw."},{"key":"2022021610433825500_ref46","author":"Chaudhary","year":"2018"},{"key":"2022021610433825500_ref47","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/S0001-4575(03)00064-2","article-title":"Has the difference in accident patterns between male and female drivers changed between 1984 and 2000","volume":"36","author":"Laapotti","year":"2004","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref48","volume-title":"How vehicle age and model year relate to driver injury severity in fatal crashes","author":"National Highway Traffic Safety Administration","year":"2013"},{"key":"2022021610433825500_ref49","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.trf.2009.04.002","article-title":"The changing nature of motorcycling: Patterns of use and rider characteristics","volume":"12","author":"Jamson","year":"2009","journal-title":"Transport. Res. F Traffic Psychol. Behav."},{"key":"2022021610433825500_ref50","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/0001-4575(79)90018-6","article-title":"The use of multiplicative models for analysis of road safety data","volume":"11","author":"Oppe","year":"1979","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref51","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/0001-4575(95)00059-3","article-title":"A comprehensive methodology for the fitting of predictive accident models","volume":"28","author":"Maher","year":"1996","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref52","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1111\/j.1538-4632.1999.tb00991.x","article-title":"Potential contributions of spatial analysis to geographic information systems for transportation (GIS-T)","volume":"31","author":"Miller","year":"1999","journal-title":"Geogr. Anal."},{"key":"2022021610433825500_ref53","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/S0001-4575(97)00105-X","article-title":"Overtaking road-accidents: differences in manoeuvre as a function of driver age1","volume":"30","author":"Clarke","year":"1998","journal-title":"Accid. Anal. Prev."},{"key":"2022021610433825500_ref54","first-page":"355","article-title":"A pc-oriented GIS application for road safety analysis and management","volume":"34","author":"Peled","year":"1993","journal-title":"Traffic Eng. 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