Parseh Designers Transportation Research Institute Quarterly Journal of Transportation Engineering 2008-6598 17 2 2025 12 22 A Case Study of Modeling the Severity of Vehicle Accidents Based on the Parameters of Drivers' Age and Vehicle Type A Case Study of Modeling the Severity of Vehicle Accidents Based on the Parameters of Drivers' Age and Vehicle Type 5255 5270 225987 10.22119/jte.2025.468914.2714 FA Ali Edrisi Associate Professor, Road and Transportation Engineering Department, Civil Engineering Faculty, K. N. Toosi University of Technology 0000-0001-9231-8371 Mohammad Reza Oraiy M.Sc., Road and Transportation Engineering Department, Civil Engineering Faculty, K. N. Toosi University of Technology Mahyar Akbari M.Sc., Road and Transportation Engineering Department, Civil Engineering Faculty, K. N. Toosi University of Technology Journal Article 2024 07 21 Traffic accidents are a leading cause of injuries and fatalities worldwide, with substantial economic, social, and health impacts. Iran ranks 113th out of 175 countries in accident rates, where these incidents are a primary cause of death. Analyzing factors influencing accident severity from human, environmental, road, and vehicle perspectives is crucial. This study aims to identify parameters affecting accident severity, focusing on vehicle type and driver's age, using data from Khorasan Razavi province and SPSS software. Results from multiple and binary logistic models show that young, adolescent, and elderly drivers significantly impact injury and fatal accident rates. Young drivers' high enthusiasm and risky behaviors, coupled with elderly drivers' decreased ability and reaction speed, contribute to this. Motorcycles and trucks have the highest probability of injury and fatal accidents due to rider vulnerability and their involvement in severe accidents. In contrast, buses and minibuses show reduced accident severity, likely due to strict controls on public transportation fleets. Traffic accidents are a leading cause of injuries and fatalities worldwide, with substantial economic, social, and health impacts. Iran ranks 113th out of 175 countries in accident rates, where these incidents are a primary cause of death. Analyzing factors influencing accident severity from human, environmental, road, and vehicle perspectives is crucial. This study aims to identify parameters affecting accident severity, focusing on vehicle type and driver's age, using data from Khorasan Razavi province and SPSS software. Results from multiple and binary logistic models show that young, adolescent, and elderly drivers significantly impact injury and fatal accident rates. Young drivers' high enthusiasm and risky behaviors, coupled with elderly drivers' decreased ability and reaction speed, contribute to this. Motorcycles and trucks have the highest probability of injury and fatal accidents due to rider vulnerability and their involvement in severe accidents. In contrast, buses and minibuses show reduced accident severity, likely due to strict controls on public transportation fleets. https://jte.sinaweb.net/article_225987_7d1c2811eea557321d7b662e01d62852.pdf