Providing an approach based on cluster functions of the Geospatial Information Systems for temporal analysis of motorcycle crashes in urban roads, case study: Rasht City

Motorcycle riders are one of the most dangerous transport users in the occurrence of crashes. According to economic conditions and traffic problems people are persuasion to use motorcycle for intra city transportation. The major purpose of this research is to present a method based on temporal analysis and cluster functions of the Geographical Information System (GIS) in order to analyze the statistical, spatial and temporal aspects of motorcycle crashes in order to identify roadway crash prone sections and provide necessary safety solutions. For this purpose, using Comap  and Geospatial functions, spatio-temporal patterns of motorcycle crashes and effect of the hourly and seasonal time on the location of crashes has been  investigated. According to the results of the research, it was found that the highest number of motorcycle crashes occur between 12:00 and 4:00 pm. In addition, The results showed that the highest number of motorcycle crashed happened in the fall and Also, the highest density of accidents is related to segments of Takhti Street. The results showed that using spatial cluster and temporal analysis is useful for identification of r roadway crash prone sections as well as the determination of the effective seasonal and hourly effects on crash clusters to perform adequate safety solutions related to motorcycles and apply preventively decisions based on the location and time of crashes.