Journal of Transportation Research

Journal of Transportation Research

Investigating the Factors Affecting Urban Crash Severity through an Integrated Statistical and Legal Perspective in the Post-COVID Era (Case Study: Urmia)

Document Type : Original Article

Authors
Amir Hossin Jashnian 1
Sahar Mirmostafa 2
Mohamad Amin Ebrahimzadeh 3
Ali Abdi Kordani 4
1 Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Department of Law and Political Science, Karaj Branch, Islamic Azad University, Karaj, Iran.
3 Department of Transportation Planning Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran.
4 Professor, Department of Transportation Planning, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran.
10.22034/tri.2026.577690.3445
Abstract
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.
Keywords
Road accidents
Accident severity
Logistic regression
Urban transportation safety
Subjects
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