A new approach for GIS-supported mapping of traffic accidents

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dc.contributor.authorGundogdu, Ismail Bulent
dc.date.accessioned2020-03-26T18:08:17Z
dc.date.available2020-03-26T18:08:17Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe use of geographic information systems (GIS) is the most effective way of examining and evaluating the results of analyses which use a multitude of data and different criteria. GIS is a tool with which many types of data can be analysed and it can be used to evaluate traffic accidents and map out the most dangerous places or segments of road on a highway according to traffic accident data from previous years. In researching the reasons for traffic accidents, several statistical methods can be used to determine the most critical points, referred to as hot spots, where traffic accidents happen frequently. Traffic accident causes and consequences are not limited to the point at which the accident occurs. Since the hot spot concept was first used in accident analysis, many methods of detecting hot spots have been described in the literature. In this study, instead of using the classic methods of hot spot detection, the hot pieces (HPCS) method has been used to determine the critical stretches of road where the accidents happen. The probable hot spots (PRHS) process aims to anticipate the critical points. Both HPCS and PRHS have the same importance. Whereas HPCS evaluates the road in lengths to determine the dangerous zones, PRHS identifies risky candidate points which may become hot spots in the near future. The main purpose of the study was the analysis of traffic accidents which occurred in Konya, to identify causal factors and take action to reduce future accidents. To establish the feasibility of the project, data were collected on traffic accidents occurring on the highways and junctions of the central roads of Konya city during the last 10 years. Some reconstruction applications and temporal precautions based on statistical results and related prediction maps are suggested to prevent traffic accidents in Konya.en_US
dc.identifier.doi10.1680/tran.2011.164.2.87en_US
dc.identifier.endpage96en_US
dc.identifier.issn0965-092Xen_US
dc.identifier.issn1751-7710en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage87en_US
dc.identifier.urihttps://dx.doi.org/10.1680/tran.2011.164.2.87
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26061
dc.identifier.volume164en_US
dc.identifier.wosWOS:000288748200004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherICE PUBLISHINGen_US
dc.relation.ispartofPROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectrisk & probability analysisen_US
dc.subjectroads & highwaysen_US
dc.subjecttraffic engineeringen_US
dc.titleA new approach for GIS-supported mapping of traffic accidentsen_US
dc.typeArticleen_US

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