Share:


Risk analysis of road traffic accidents in Ukraine

    Oleg Lyashuk Affiliation
    ; Dmytro Mironov Affiliation
    ; Volodymyr Martyniuk Affiliation
    ; Viktor Aulin Affiliation
    ; Oleg Tson Affiliation
    ; Pavlo Maruschak Affiliation

Abstract

This article presents a comprehensive investigation into the causes of road transport accidents in Ukraine, focusing on the application of risk analysis to minimize economic and human losses. The study begins with a detailed examination of the current road safety scenario in Ukraine, highlighting the alarming statistics of road accidents and their consequences. The central aim is to develop effective strategies for controlling and managing the causes of road accidents. The research identifies the primary factors contributing to road accidents, such as exceeding safe speed limits, driving under the influence of alcohol, etc. A risk management system is proposed, encompassing the creation of a structured risk management framework, development of methodologies, and implementation of information and analytical systems. Th e article emphasizes the importance of continuous risk monitoring and assessment, including risk identification, analysis, and management. Statistical observations and analysis play a crucial role in diagnosing risks, which are then used to devise risk minimization measures and improve road safety. The study concludes with recommendations for risk-based decision-making and the implementation of targeted interventions to reduce road accidents and associated risks in Ukraine.


First published online 11 February 2025

Keyword : road transport accidents, risk analysis, traffic safety, risk management, statistical analysis, safety interventions

How to Cite
Lyashuk, O., Mironov, D., Martyniuk, V., Aulin, V., Tson, O., & Maruschak, P. (2024). Risk analysis of road traffic accidents in Ukraine. Transport, 39(4), 350–359. https://doi.org/10.3846/transport.2024.23190
Published in Issue
Dec 31, 2024
Abstract Views
46
PDF Downloads
24
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Alhamad, S.; Almallah, M.; Naser, M. N.; Alhajyaseen, W. K.; De Roos, M. P. 2023. Examining the role of road safety audits worldwide: exploring road safety expert′s opinions, International Journal of Injury Control and Safety Promotion 30(1): 106–115. https://doi.org/10.1080/17457300.2022.2114090

Alhomaidat, F.; Hasan, R. A.; Hanandeh, S.; Alhajyaseen, W. 2023. Using driving simulator to study the effect of crash fact signs on speeding behaviour along freeways, International Journal of Injury Control and Safety Promotion 30(1): 15–25. https://doi.org/10.1080/17457300.2022.2097698

Barati, S.; Mohammadi, S. 2008. Enhancing risk management with an efficient risk identification approach, in 2008 4th IEEE International Conference on Management of Innovation and Technology, 21–24 September 2008, Bangkok, Thailand, 1181–1186. https://doi.org/10.1109/ICMIT.2008.4654537

Boo, Y.; Choi, Y. 2021. Comparison of prediction models for mortality related to injuries from road traffic accidents after correcting for undersampling, International Journal of Environmental Research and Public Health 18(11): 5604. https://doi.org/10.3390/ijerph18115604

Brondum, L.; Sakashita, C.; Man, L.; Motta, V. 2022. New deal in road safety: why we need NGOs, Journal of Road Safety 33(1): 64–70. https://doi.org/10.33492/JRS-D-21-00070

Che, M.; Wong, Y. D.; Lum, K. M.; Wang, X. 2021. Interaction behaviour of active mobility users in shared space, Transportation Research Part A: Policy and Practice 153: 52–65. https://doi.org/10.1016/j.tra.2021.08.017

Delfino, F.; Rindone, C.; Russo, F.; Vitetta, A. 2005. Risk analysis in road safety: a model and an experimental application for pedestrians, in Proceeding of the European Transport Conference 2005, 3–5 October 2005, Strasbourg, France.

Demasi, F.; Loprencipe, G.; Moretti, L. 2018. Road safety analysis of urban roads: case study of an Italian municipality, Safety 4(4): 58. https://doi.org/10.3390/safety4040058

Deptuła, A. M.; Stosiak, M.; Deptuła, A.; Lubecki, M.; Karpenko, M.; Skačkauskas, P.; Urbanowicz, K.; Danilevičius, A. 2023. Risk assessment of innovation prototype for the example hydraulic cylinder, Sustainability 15(1): 440. https://doi.org/10.3390/su15010440

Evans, A. W. 2003. Estimating transport fatality risk from past accident data, Accident Analysis & Prevention 35(4): 459–472. https://doi.org/10.1016/S0001-4575(02)00024-6

Fisa, R.; Musukuma, M.; Sampa, M.; Musonda, P.; Young, T. 2022. Effects of interventions for preventing road traffic crashes: an overview of systematic reviews, BMC Public Health 22: 513. https://doi.org/10.1186/s12889-021-12253-y

Gądek-Hawlena, T. 2019. The efficiency of actions to improve road safety – assessing the implementation of the programme objectives, Ekonomika i Organizacja Logistyki 4(3): 55–64. https://doi.org/10.22630/EIOL.2019.4.3.23

Hughes, B. 2022. The need for independent safety investigation and regulation of road infrastructure, Journal of Road Safety 33(3): 76–76. https://doi.org/10.33492/JRS-D-22-00018

Ivančić, V. 2014. Improving the decision making process trought the Pareto principle application, Ekonomska misao i praksa 23(2): 633–656. Available from Internet: https://hrcak.srce.hr/130856

Jeon, H.; Kim, J.; Moon, Y.; Park, J. 2021. Factors affecting injury severity and the number of vehicles involved in a freeway traffic accident: investigating their heterogeneous effects by facility type using a latent class approach, International Journal of Injury Control and Safety Promotion 28(4): 521–530. https://doi.org/10.1080/17457300.2021.1972320

Karpenko, M.; Prentkovskis, O.; Skačkauskas, P. 2024. Numerical simulation of vehicle tyre under various load conditions and its effect on road traffic safety, Promet – Traffic & Transportation 36(1): 1–11. https://doi.org/10.7307/ptt.v36i1.265

Karpenko, M.; Skačkauskas, P.; Prentkovskis, O. 2023. Methodology for the composite tire numerical simulation based on the frequency response analysis, Eksploatacja i Niezawodność – Maintenance and Reliability 25(2): 163289. https://doi.org/10.17531/ein/163289

Kravchenko, V. A. 2008. Programa upravlinnja pidpryjemnyc′′kymy ryzykamy: zmist i etapy rozrobky, Problems of a systemic approach to the economy enterprises 1(5): 8. Available from Internet: https://jrnl.nau.edu.ua/index.php/EPSAE/article/view/3991 (in Ukrainian).

Luk′janova, V. V.; Golovach, T. V. 2007. Ekonomichnyj ryzyk. Kyi′v: Akademvydav. 464 s. (in Ukrainian).

Perera, J.; Holsomback, J. 2005. An integrated risk management tool and process, in 2005 IEEE Aerospace Conference, 5–12 March 2005, Big Sky, MT, US, 129–136. https://doi.org/10.1109/AERO.2005.1559306

PPU. 2023. Statystyka DTP v Ukrai′ni. Patrul′na policija Ukrai′ny (PPU), Kyi′v, Ukrai′na. Available from Internet: https://patrolpolice.gov.ua/statystyka (in Ukrainian).

Russo, F.; Vitetta, A. 2006. Risk evaluation in a transportation system, International Journal of Sustainable Development and Planning 1(2): 170–191. https://doi.org/10.2495/SDP-V1-N2-170-191

Shah, S. A. R.; Ahmad, N.; Shen, Y.; Pirdavani, A.; Basheer, M. A.; Brijs, T. 2018. Road safety risk assessment: an analysis of transport policy and management for low-, middle-, and high-income Asian countries, Sustainability 10(2): 389. https://doi.org/10.3390/su10020389

Silva, P. B.; Andrade, M.; Ferreira, S. 2020. Machine learning applied to road safety modeling: A systematic literature review, Journal of Traffic and Transportation Engineering (English Edition) 7(6): 775–790. https://doi.org/10.1016/j.jtte.2020.07.004

Ye, F.; Lord, D. 2011. Investigation of effects of underreporting crash data on three commonly used traffic crash severity models: multinomial logit, ordered probit, and mixed logit, Transportation Research Record: Journal of the Transportation Research Board 2241: 51–58. https://doi.org/10.3141/2241-06