نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
Road accidents are among the most critical challenges to urban transportation safety, with significant human and economic consequences. This study aimed to analyze the factors influencing the severity of road accidents in the city of Urmia during the period from March 21, 2021, to July 13, 2025, using a binary logistic regression model. The results indicated that vehicle type, the direct cause of the accident, and the date of occurrence significantly affected the likelihood of injury and fatal accidents. Moreover, a statistically significant decreasing trend in accident severity over the study period suggests positive impacts from improved traffic conditions and the lifting of restrictions imposed during the COVID-19 pandemic. In addition to the statistical aspects, the legal dimensions of accidents—such as “hit-and-run” cases—were also examined, emphasizing the need to strengthen monitoring mechanisms, promote public awareness, and enhance legal enforcement to mitigate the irreversible consequences of such behaviors. The findings of this research provide a valuable foundation for designing intelligent preventive policies and improving urban transportation safety.
کلیدواژهها English
