Journal of Traffic and Logistics Engineering Vol. 3, No. 2, December 2015 Clustering of Districts in Erzurum by Number of Injury Hümeyra Bolakar Department of Civil Engineering, Engineering Faculty, Aksaray University, Aksaray, Turkey E-mail:
[email protected] Ahmet Tortum Department of Civil Engineering, Engineering Faculty, Ataturk University, Erzurum, Turkey E-mail:
[email protected] Ahmet Atalay Narman Vocational High School, Ataturk University, Erzurum, Turkey E-mail:
[email protected] Abstract—In this study, the number of injuries from road Clustering analysis is performed to determine the black traffic accidents for each district was identified in Erzurum, spots in traffic accident analysis in some studies [3], [6], Turkey during the years of 2012 and 2013. Clustering [8]. Moreover, clustering analysis is used to determine analysis was made according to these rates by using both similar districts or provinces in the literature [4]-[11]. classical k-means and fuzzy c-means technique. Districts In this study, clustering analysis was performed were divided into five clusters by analysis conducted with these two techniques. Districts with the highest injury risk according to the number of injuries from road traffic were determined, and the results obtained were compared. accidents (RTAs) occurred in Erzurum province for 2012 In this study, it was observed that the result of fuzzy c- and 2013. Clustering analysis was realized in two means technique is equal to the result of k-means technique. different forms. Firstly, traditional k-means method, and Moreover, it was determined that geographical information secondly fuzzy c-means method were applied. systems are advantageous to show and understand the Geographical Information System (GIS) software was results of the thematic maps.