Analysis of Urban Crash Severity at Stop-Controlled Intersections (Case Study: Aligudarz City)

Document Type : Original Article

Authors
Shahin Shabani 1
َAmir Bahador Azimi 2
1 Department of Civil Engineering‌, Payame Noor University (PNU), Tehran, Iran.
2 Ph.D., Student, Department of Civil Engineering, Payame Noor University (PNU), Tehran, Iran.
10.22034/road.2026.567559.2463
Abstract
From the perspective of urban safety, Intersections are among the most high-risk geometric elements. When Intersections lack proper traffic control (i.e., stop-controlled intersections), safety issues become more critical since the maneuvers of violator drivers are often sudden and unpredictable. Analyzing the occurrence and severity of crashes in these areas can help identify the contributing factors and support decision-making for effective safety Improvements. In this study, to analyze crash severity at stop-controlled intersections, relevant intersections within the city of Aligudarz, Lorestan Province, were examined. Crash data for stop-controlled intersections during the years 2011–2023 (1390–1402 SH) in the Iranian calendar) were collected from the Aligudarz traffic police. Based on the available data and previous research, several explanatory variables—including the approach direction to the intersection, lighting condition, weekday/holiday status, Driver’s age and gender, weather and road surface conditions, number of intersection legs, speed limit, vehicle maneuver, and vehicle type—were analyzed using an ordered probit model In Stata software. Multiple states were defined for each variable and compared with a reference category. The results indicate that higher speed limits, left-turn maneuvers, male and younger drivers, four-legged intersections, indirect approach directions, darkness without adequate lighting, weekdays (non-holidays), wet or Icy road surfaces, and rainy or snowy weather conditions are associated with greater crash severity.
Keywords
crash severity
stop-controlled intersections
ordered probit model
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