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Abstract


AN ANALYSIS OF TRAFFIC ACCIDENTS WITH SPATIAL STATISTICAL METHODS IN IZMIR PROVINCE

Izmir is one of the significant cities in terms of population in Turkey. Due to increase in the population, car usage in İzmir has increased too. Increased use of the vehicle also causes increase traffic accidents. Therefore, this study was done in order to reduce numbers of traffic accidents. Eleven central districts of Izmir city were chosen as the study area. Eleven districts center in Izmir was chosen as the study areas because they are main focus areas of population density and population mobility in this area. The cities that includes the districts are Çiğli, Karşıyaka, Bayraklı, Bornova, Konak, Buca, Gaziemir, Karabağlar, Balçova, Narlıdere and Güzelbahçe. 2010 and 2014 traffic accidents’ data was used in the study. As a method by using Geographic Information System three different spatial statistics analyses were carried out. Spatial statistics methods are consist of point density, line density and Anselin Local Moran I analyses. Aim of the spatial statistics methods is to determine where the accidents intense and where may become intense in the future. According to analyses mapped roads which have high rates of traffic accidents within eleven districts. In conclusion, with this study areas where traffic accidents are dense within eleven districts are revealed in order to reduce the numbers of accidents.



Keywords
Traffic accident, Spatial Statistics, Spatial Analysis, Spatial Clustering, Izmir



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