Amir Izadi - Assistant Professor, Department of Civil Engineering, Shomal University, Amol, Iran
Faramarz Jamshidpour - Ph.D. Candidate, Department of Civil Engineering, Shomal University, Amol, Iran
Iraj Bargegol - Assistant Professor, Department of Civil Engineering, University of Guilan, Rasht, Iran

Modeling the crash severity based on the influential variables makes it feasible to predict the occurrence of crashes that requires safety solutions. In addition, the influence of each factor in the crashes can be examined. This study aimed to identify the factors affecting the severity of the injury/fatal and property damage only (PDO) crashes of taxi vehicles in Rasht city, Iran, by collecting crash data from March ۲۰۱۵ to March ۲۰۲۱. In this regard, the Friedman test was used to determine the priority of factors, and the factor analysis was applied to specify the most effective factors on the severity of taxi-related crashes in Rasht city. According to the Friedman test, weather conditions were the most significant factor affecting the crashes. Based on the factor analysis, five factors were specified as the principal factors contributing to crashes that the environmental factor was the first factor involved in crashes, which includes weather conditions, road surface conditions, and daylight conditions. So weather conditions as the environmental factor was determined the main influential factor on the taxi-related crashes of urban roads.

safety, Taxi crashes, Friedman Test, Factor analysis