متين چنگيز

Road accidents, especially those involving vulnerable road users such as motorcyclists an‎d pedestrians, represent a significant safety concern in transportation. These users face higher risks due to various factors, including adverse weather conditions, unsafe road environments, an‎d improper driver behaviors. Factors such as infrastructure deficiencies, weather conditions, an‎d human behavior can influence the occurrence an‎d severity of accidents. Accurate an‎d multi-factorial modeling of these factors can enhance the understan‎ding of their interactions an‎d enable the simulation of various scenarios. Analyzing an‎d modeling accidents involving vulnerable users require real-world data an‎d advanced analytical tools to develop effective solutions for reducing risks an‎d improving safety. This study aims to provide a comprehensive an‎d multi-factorial model to analyze an‎d reduce accidents involving vulnerable road users in interurban roads by identifying contributing factors an‎d proposing practical solutions. The research methodology combines quantitative an‎d qualitative approaches, designed to analyze accidents involving vulnerable users on interurban roads. Secondary data were collected from the traffic safety database of the Isfahan Road an‎d Transportation Administration, while field data were gathered through direct observations at high-risk locations an‎d interviews with local experts an‎d authorities. Statistical models such as ordered logit an‎d probit were employed to eva‎luate accident severity an‎d identify influencing factors. Additionally, software tools including SPSS were utilized for precise modeling, simulation, an‎d data analysis. The results demonstrated that installing warning signs an‎d improving road lighting significantly reduce accidents an‎d enhance the safety of vulnerable road users. Warning signs effectively attract driversʹ attention an‎d guide their behavior at high-risk points, while improved lighting mitigates visibility limitations, particularly in adverse weather conditions an‎d at night, enabling quicker driver reactions. This study also emphasizes the importance of aligning warning signs with road geometric features an‎d highlights the role of innovative technologies in designing an‎d maintaining these infrastructures for better outcomes. The findings align with previous research an‎d underscore the need for investment in road safety improvements as an effective strategy for accident reduction.

تصادفات جاده‌اي , كاربران آسيب‌پذير , مدل شدت تصادفات

Road Crashes , vulnerable users , Crash severity

Matin Changiz

Dr.Ali tavakoli kashani