TY - JOUR ID - 2629 TI - Modeling Multiple–Vehicle Property Damage Collisions in Urban Signalized Intersections JO - International Journal of Transportation Engineering JA - IJTE LA - en SN - 2322-259X AU - Naseralavi, Seyed Saber AU - Ghasemi Noughabi, Masoud AU - Ayati, Esmaeel AD - Assistant Professor, Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran AD - MSc. Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, Iran AD - Professor, Department of Civil Engineering , Ferdowsi University of Mashhad, Mashad, Iran Y1 - 2013 PY - 2013 VL - 1 IS - 1 SP - 35 EP - 46 KW - Property damage collision KW - Signalized Intersection KW - negative binomial model DO - 10.22119/ijte.2013.2629 N2 - Development of disaggregate models for estimating different property damage collision type frequencies in urban intersections has rarely been studied, particularly in Iran. It seems very little research work being implemented for studying the effect factors on collision type frequency at intersections. The main objective of this paper is to develop suitable statistical models to predict types of property damage accident frequencies at signalized intersections approaches in the Mashhad of Iran based on geometric, traffic, and regulatory control characteristics. Three negative binomial models are estimated for collisions occurred in four-leg signalized intersections in the city of Mashhad and their results were compared together. These models are total, rear-end and right angel collision models. The goodness of fit was assessed by statistic tests. The Incidence Rate Ratio is used to assess the effectiveness of independent variables on frequency of property damage collision. Validation of models was controlled using paired samples T-test method. Modeling collision types showed a strong relationship between frequency of property damage collision types and independent variables such as road geometry, the type of control system and traffic characteristics. The results of this study revealed that seven of independent variables considerably affect the safety of signalized intersections. UR - http://www.ijte.ir/article_2629.html L1 - http://www.ijte.ir/article_2629_eef4c3a8e190f1fdc4cc9a299ea0945f.pdf ER -