Journal of Transportation Research

Journal of Transportation Research

Analysis of Factors Affecting the Severity of Motorcycle-Related Accidents in the Suburban Roads of Zanjan Province

Document Type : Original Article

Authors
Ali Tavakoli Kashani 1
Mohammad Najafpour Derav 2
Golamreza Karami 3
Aazam Mohammadi 4
1 Associate Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran and Road Safety Research Center, Iran University of Science and Technology, Tehran, Iran.
2 Ph.D. Student, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
3 M.Sc., Grad., Administration, School of Management, Islamic Azad University of Zanjan, Zanjan, Iran.
4 B.Sc., Grad., School of Civil ngineering, University of Zanjan, Zanjan, Iran.
10.22034/tri.2024.460863.3250
Abstract
Traffic fatalities are recognized as the leading cause of death among young individuals under the age of 29 globally. In 2022, 48 percent of traffic fatalities in Iran involved vulnerable road users, highlighting the importance of focusing on these road users. This study utilizes data from the Road and Transportation Department of Zanjan Province to investigate the factors influencing the severity of motorcycle-related accidents on rural roads in Zanjan Province. Given the ordinal nature of accident severity—classified as property damage, injury, and fatality—ordered logit and probit regression models were employed for modeling, with the ordered logit regression model showing a better fit to the data. The most significant factors affecting accident severity were identified as speed limit, type of collision, type of road, presence of road shoulders, topography, inadequate lighting conditions, occurrence of accidents in curves, road slipperiness, and the time (season) of occurrence. Recommendations from this study for reducing the severity of motorcycle-related accidents include reducing speed limits, implementing safety measures at specific points and roads such as curves and secondary roads, and enhancing user skills and training. These measures are suggested for policymakers in this field to consider.
Keywords
Vulnerable Road Users
Road Safety
Ordered Logit Regression
Motorcycle
Traffic Fatalities
Subjects
-آمار متوفیات و مصدومین حوادث رانندگی (1401). https://lmo.ir
-Asgarzadeh, M., Fischer, D., Verma, S. K., Courtney, T. K., & Christiani, D. C. (2018). The impact of weather, road surface,
time‐of‐day, and light conditions on severity of bicycle‐motor vehicle crash injuries. American Journal of Industrial Medicine, 61(7), 556-565.
-Cheng, W., Gill, G. S., Sakrani, T., Dasu, M., & Zhou, J. (2017). Predicting motorcycle crash injury severity using weather data and alternative Bayesian multivariate crash frequency models. Accident Analysis & Prevention, 108, 172-180.
-Eisenberg, D., & Warner, K. E. (2005). Effects of snowfalls on motor vehicle collisions, injuries, and fatalities. American Journal of Public Health, 95(1), 120-124.
-Farid, A., & Ksaibati, K. (2021). Modeling severities of motorcycle crashes using random parameters. Journal of Traffic and Transportation Engineering (English edition), 8(2), 225-236.
-Haque, M. M., Chin, H. C., & Huang, H. (2009). Modeling fault among motorcyclists involved in crashes. Accident Analysis & Prevention, 41(2), 327-335.
-Jansen, R. J., Lotan, T., Winkelbauer, M., Bärgman, J., Kovaceva, J., Donabauer, M., Pommer, A., Musicant, O., Harel, A., Wesseling, S., Christoph, M., & Nes, N. v. (2017). Interactions with Vulnerable Road Users. UDRIVE D44.1(EU FP7 Project UDRIVE Consortium). doi.org/https://doi.org/10.26323/UDRIVE_D44.1
-Kamel, M. B., & Sayed, T. (2021). Accounting for seasonal effects on cyclist-vehicle crashes. Accident Analysis & Prevention, 159, 106263.
-Lin, M.-R., & Kraus, J. F. (2009). A review of risk factors and patterns of motorcycle injuries. Accident Analysis & Prevention, 41(4), 710-722.
-Lord, D., Qin, X., & Geedipally, S. R. (2021). Highway safety analytics and modeling. Elsevier.
-Pai, C.-W., & Saleh, W. (2007). An analysis of motorcyclist injury severity under various traffic control measures at three-legged junctions in the UK. Safety Science, 45(8), 832-847.
-Pervez, A., Lee, J., & Huang, H. (2021). Identifying factors contributing to the motorcycle crash severity in Pakistan. Journal of Advanced Transportation, 2021, 1-10.
-Quddus, M. A., Noland, R. B., & Chin, H. C. (2002). An analysis of motorcycle injury and vehicle damage severity using ordered probit models. Journal of Safety Research, 33(4), 445-462.
-Safety and Mobility (SAM), S. D. o. H. S. (2023). Global status report on road safety 2023 (ISBN: 978-92-4-008651-7). https://www.who.int/publications/i/item/9789240086517
-Savolainen, P., & Mannering, F. (2007). Probabilistic models of motorcyclists’ injury severities in single-and multi-vehicle crashes. Accident Analysis & Prevention, 39(5), 955-963.
-Schneider, W. H., & Savolainen, P. T. (2011). Comparison of severity of motorcyclist injury by crash types. Transportation Research Record, 2265(1), 70-80.
-Sivasankaran, S. K., Rangam, H., & Balasubramanian, V. (2021). Investigation of factors contributing to injury severity in single vehicle motorcycle crashes in India. International Journal of Injury Control and Safety Promotion, 28(2), 243-254.
-Theofilatos, A., & Ziakopoulos, A. (2018). Examining injury severity of moped and motorcycle occupants with real-time traffic and weather data. Journal of Transportation Engineering, Part A: Systems, 144(11), 04018066.
-Wali, B., Khattak, A. J., & Ahmad, N. (2019). Examining correlations between motorcyclist’s conspicuity, apparel related factors and injury severity score: Evidence from new motorcycle crash causation study. Accident Analysis & Prevention, 131, 45-62.