Clustering analysis of the districts in Erzurum for traffic accidents between 2002 and 2007

In this study, clustering analysis was done by using date of road traffic accidents (RTAs) in districts of Erzurum in Turkey occurring at 2002 to 2007 years. Province of Erzurum has eighteen districts. Road surface situation, solstice, vehicle type and number of RTAs are used in clustering analysis. Clustering analysis was done by using both traditional k-means and fuzzy c-means techniques. Districts are divided five cluster by clustering analysis are done according to two techniques. Also five risk levels were identified by center values of clusters. Risk levels of districts were demonstrated in thematic maps. The thematic maps were constituted by using geographical information systems (GIS). The thematic maps demonstrated members of cluster that districts are separated by clustering analysis according to both traditional k-means and fuzzy c-means techniques. Results obtained from this study were compared. It was observed that fuzzy c-means technique gives accurate and consistent results at least k-means technique. Also, It was determined that GIS is advantageous to show and understand the results on the thematic maps.