Gholam Ali Shafabakhsh - Associate Professor, Faculty of Civil Engineering, Semnan University, Semnan, I.R. of Iran
Reza Sheikh - Assistant professor, Faculty of Industrial Engineering and Management, Shahrood University
Afshin Family - Student of Graduate Studies, Faculty of Civil Engineering, Semnan University, Semnan, I.R. of Iran
Morteza Bagherzadeh - Student of Graduate Studies, Faculty of Industrial Engineering and Management, Shahrood University, Shahrood, I.R. of Iran

According to the World Health Organization (WHO), more than 1.2 million people die each year in motor vehicle accidents and more than 50 million are injured each year worldwide. Road traffic accidents are assumed to be social health challenge, as they almost always result in injuries, fatalities and damages. Oneof the most important issues in rural planning is developing sustainable public transportation. The basic condition for this purpose is statistical analysis on accident data. Clustering techniques is considered as a subset of data mining that one of its techniques used for analyzing hotspots. This study focus onhierarchical approach for clustering these data. A real case study (Semnan-Garmsar road in Semnanprovince) has been studied in this research using PASW (SPSS) 19. Hierarchical method yielded a dendrogram for fatal accidents representing the nested grouping of the pattern for this type of accidents

Traffic accidents, Statistical analysis, Clustering techniques, Hierarchical approach,SPSS