Applying Linear Analysis Methods to GIS-Supported Procedures for Preventing Traffic Accidents: Case Study of Konya

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dc.contributor.authorGündoğdu, İsmail Bülent
dc.date.accessioned2020-03-26T17:47:07Z
dc.date.available2020-03-26T17:47:07Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study develops methods to obtain maps to determine traffic Hot Spots in Konya, Turkey, by applying linear analysis supported by Geographical Information Systems (GIS). Hot Spot analysis is known method but the study differs from former researches at the point of determining of risky zones, classification and illustration of them on the maps with the different accident parameters. The aim is not to contribute another Hot Spot analysis using a number of statistical methods, but to determine the Highest Potential Hot Spots (HPHS), which are inter-sectional clusters, and to use different parameters, such as number of accidents, number of fatalities and injured, and number of accidents with only financial loss. In addition, apart from classical illustrational techniques, Hot Pieces (HPCS) on roads divided into 1 km segments are shown by their grading according to their numerical values. Hence, thematic illustration distinguishes them from others. Another aspect of this study is that, besides investigation of Hot Spots by means of data of accidents of previous years', Probable Hot Spots (PRHS) were illustrated and highly potential Hot Spots were determined. These latter are candidates for Hot Spots in the near future. Thus, premature accidents can be anticipated easily. The main intention of this study is to emphasize the importance of using criteria, other than total accident number, to illustrate intersection Hot Spots and to constitute a model of accident severity and variety. It is anticipated that the results obtained from highway accidents data will guide improvement of the route segments.en_US
dc.identifier.citationGündoğdu, İ. B., (2010). Applying Linear Analysis Methods to GIS-Supported Procedures for Preventing Traffic Accidents: Case Study of Konya. Safety Science, (48), 763-769. Doi: 10.1016/j.ssci.2010.02.016
dc.identifier.doi10.1016/j.ssci.2010.02.016en_US
dc.identifier.endpage769en_US
dc.identifier.issn0925-7535en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage763en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.ssci.2010.02.016
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24629
dc.identifier.volume48en_US
dc.identifier.wosWOS:000278207300011en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorGündoğdu, İsmail Bülent
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofSafety Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectLinear analysisen_US
dc.subjectGISen_US
dc.subjectTraffic accidenten_US
dc.subjectHighest Probable Hot Spoten_US
dc.subjectHot Piecesen_US
dc.titleApplying Linear Analysis Methods to GIS-Supported Procedures for Preventing Traffic Accidents: Case Study of Konyaen_US
dc.typeArticleen_US

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