Speed-related traffic accident analysis using GIS-based DBSCAN and NNH clustering

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dc.authorid0000-0003-3548-6795en_US
dc.contributor.authorTopçooğlu, B.
dc.contributor.authorMemişoğlu Baykal, Tuğba
dc.contributor.authorTuydes Yaman, H.
dc.date.accessioned2022-09-28T13:00:09Z
dc.date.available2022-09-28T13:00:09Z
dc.date.issued2022
dc.departmentAÇÜ, Mühendislik Fakültesi, Harita Mühendisliği Bölümüen_US
dc.description.abstractTo ensure road safety and reduce traffic accidents, it is essential to determine geographical locations where traffic accidents occur the most. Spatial clustering methods of hot spots are used very effectively to detect such risky areas and take precautions to minimize or even avoid fatal or injury accidents. This study aims to determine speed-related hot spots in the pilot Mersin Region, which includes seven cities in the central-southern part of Turkey. Two different hot spot clustering methods, the Nearest Neighbourhood Hierarchical Clustering Method (NNH) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Method, were employed to analyse traffic accident data between 2014-2021, obtained from the General Directorate of Highways. CrimeStat III program, which is free software, was used to detect NNH clusters, while the DBSCAN clusters were obtained using the open-source GIS program QGIS, which was also used to visualize and evaluate the results comparatively. As a result of the analysis, it was determined which method gave more effective results in determining the traffic accident risk clusters. These clusters were analysed based on road geometries (intersection or corridors). In addition, by considering the areas where repeated accidents have occurred over the years, future predictions of traffic accidents have been estimated.
dc.identifier.citationTopçuoğlu, B., Baykal, T. M., Yaman, H. T. (2022). Speed-Related Traffic Accident Analysis Using Gis-Based Dbscan and Nnh Clustering. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48, 4, 487-494. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRSen_US
dc.identifier.doi10.5194/isprs-archives-XLVIII-4-W1-2022-487-2022
dc.identifier.endpage494en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3
dc.identifier.startpage487en_US
dc.identifier.urihttps://hdl.handle.net/11494/4251
dc.identifier.volume48en_US
dc.indekslendigikaynakScopus
dc.institutionauthorMemişoğlu Baykal, Tuğba
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSpeed-related traffic accidenten_US
dc.subjectSpatial clusteringen_US
dc.subjectGISen_US
dc.subjectDBSCANen_US
dc.subjectNNH Clusteringen_US
dc.subjectTurkeyen_US
dc.titleSpeed-related traffic accident analysis using GIS-based DBSCAN and NNH clusteringen_US
dc.typeArticle

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