Abstarct: In recent years pedestrian accidents have become a global problem. The issue of pedestrian safety is a vital argument that can be helped by examining the causes of pedestrian accidents. In this research, we seek to investigate the factors affecting the occurrence of pedestrian accidents and the identification of hot spot points using statistical and spatial analysis. In statistical analysis, we have used multinominal logistic regression model and we use GIS in spatial analysis. In spatial analysis, we use the kernel density method to determine the density of accidents and use hot spot analyze to identify hot spot points. The results showed that the variables such as maximum speed, direction of the road, riding cars, pavement conditions, pedestrian sex and type of collision most effective variables were the result of pedestrian accidents. Hence, the greatest number of pedestrians injured in various in residential areas, direct roads, roads with normal and dry surfaces, disregard for drivers and rushed and unpredictable acceleration.