TY  - JOUR
PY  - 2023//
TI  - Evaluating the factors affecting severity of pedestrian accidents in urban streets and providing a model for predicting these accidents (case study: Qazvin City)
JO  - Road
A1  - AmouzadehOmrani, Mohsen
A1  - Fazlollahi, Mohammad Reza
SP  - 83
EP  - 102
VL  - 31
IS  - 116
N2  - Recently, with the increase in the production of vehicles on the one hand and the increase in the population of cities and villages on the other hand, sufficient attention to the issue of pedestrians, especially in terms of safety, is very important and noteworthy. In recent years, the rate and growth of pedestrian casualties in major cities of the country compared to developing countries is high. The purpose of this study was to investigate the effect of pedestrian characteristics and behavior, environmental characteristics and time of pedestrian accidents on the probability of pedestrian injuries and to provide a model to determine the probability of any severe or minor injuries. The independent variables defined in the model are for vehicle accidents with pedestrians on Jomhuri Eslami Boulevard in Qazvin. Therefore, using the data obtained from the provincial forensic medicine organization and the traffic police, which are related to traffic accidents from 1397 to 1399, these factors have been modeled using the logistic regression model. The results show that pedestrian education, time of accident, speed of vehicle and color of pedestrian clothing are the most influential factors in the probability of injury.<p />  <p>Language: fa</p>
LA  - fa
SN  - 1735-062X
UR  - http://dx.doi.org/10.22034/road.2023.375114.2118
ID  - ref1
ER  -