Methodological principles of risk-oriented management of port operations
Article Sidebar
Published:
May 4, 2026
Keywords:
maritime transport, maritime transportation, transport systems, transport infrastructure, port operations, risk management, risk-oriented management, fuzzy logic, risk matrix, decision support
Main Article Content
Abstract
The article discusses the methodological foundations of risk-oriented management of port operations in conditions of increasing dynamism, uncertainty, and multifactorial threats. It is shown that traditional approaches to port process management, which are based mainly on reactive responses, do not provide an adequate level of stability and adaptability for port systems. The feasibility of using formalized risk assessment methods as a basis for supporting management decisions is justified. A methodological approach to port operations management is proposed, based on risk classification, quantitative and fuzzy assessment of the probability and consequences of undesirable events, as well as the use of a risk matrix for ranking scenarios and selecting management actions. The study demonstrates that the combination of classical risk assessment models with fuzzy logic methods allows for the high level of uncertainty inherent in the port environment to be taken into account. The results obtained form a methodological basis for building risk-oriented port operations management systems and can be used in the development of decision support systems.
Article Details
How to Cite
Prokhorov, V., & Bernevek, T. (2026). Methodological principles of risk-oriented management of port operations. Herald of the Odesa National Maritime University, (79), 252-263. https://doi.org/10.47049/2226-1893-2026-1-252-263
Section
Technology and organisation of transportation
References
1. Su, M., Li, J., & Kim, W. (2025). Port ship congestion and Port-oriented cities air pollution: The role of machine learning models in transportation environmental governance. Transport Policy, 171, Р. 896-915.https://doi.org/10.1016/j.tranpol.2025.07.023.
2. Gonçalves, A., Dutra, A., & Mussi, C.C. (2025). Occupational risks and health and safety management strategies in the port sector: A systematic literature review. Safety Science, 184, 106767. https://doi.org/10.1016/j.ssci.2024.106767.
3. Zhai, W., Zeng, Q., & Wang, L. (2025). Configurational pathways to port environmental efficiency: An fsQCA-NCA analysis of CO₂ reduction drivers in port management. Regional Studies in Marine Science, 92, 104618. https://doi.org/10.1016/j.rsma.2025.104618.
4. Januarsi, Y., Irman, A., & Ridwan, A. (2025). Integrated port governance and digitalization system: A model for boosting port logistics performance. The Asian Journal of Shipping and Logistics. https://doi.org/10.1016/j.ajsl.2025.12.002.
5. Novaes Mathias, T., Gomes, J.M.L., Zanezi, A.C., Botter, R.C., & De Oliveira Mota, D. (2026). Maritime logbooks as strategic infrastructure: Policy, techno-logy, and the future of port operations. Marine Policy, 185, 106975. https://doi.org/10.1016/j.marpol.2025.106975.
6. Fernandez-Perez, A., Lara, J.L., & Losada, I.J. (2025). Flexible adaptation strategies for managing compound climate change risks in port infrastructures. Coastal Engineering, 202, 104844. https://doi.org/10.1016/j.coastaleng.2025.104844.
7. Othman, M.K., Mohd Sabri, N.S.A., Abdul Rahman, N.S.F., & Osnin, N.A. (2025). Port operators’ perceptions and acceptance of maritime autonomous surface ships (MASS) operations: Insights from Malaysia. Case Studies on Transport Policy, 22, 101567. https://doi.org/10.1016/j.cstp.2025.101567.
8. Deng, W., Ma, X., & Qiao, W. (2025). Resilience-oriented safety barrier perfor-mance assessment in maritime operational risk management. Transportation Research Part D: Transport and Environment, 139, 104581. https://doi.org/10.1016/j.trd.2024.104581.
9. Ma, W., Tang, D., Dong, M., Arasteh, H., & Guerrero, J.M. (2025). Coordinated robust configuration of soft open point and energy storage systems for resilience enhancement of integrated multi-energy system at ports. Applied Energy, 401, 126644. https://doi.org/10.1016/j.apenergy.2025.126644.
10. Wang, S., Wang, H., Xue, G., Han, Y., Qin, Q., Zhang, L., & Ma, X. (2024). Correlation analysis of failure risk factors in automated container port logistics systems from a resilience perspective. Journal of Sea Research, 202, 102552. https://doi.org/10.1016/j.seares.2024.102552.
11. Lucio, D., Lara, J., Tomás, A., & Losada, I. (2024). Probabilistic assessment of climate-related impacts and risks in ports. Reliability Engineering & System Safety, 251, 110333. https://doi.org/10.1016/j.ress.2024.110333.
12. Lei, H., Ren, X., Chen, J., & Ma, Y. (2025). Multi-criteria optimization of methanol-based energy systems in ports using PMPEF-TOPSIS: A path to sustainable and efficient operations. Journal of Cleaner Production, 538, 147366. https://doi.org/10.1016/j.jclepro.2025.147366.
13. Onyshchenko, S., Melnyk, O. (2022) «Efficiency of Ship Operation in Trans-portation of Oversized and Heavy Cargo by Optimizing the Speed Mode Considering the Impact of Weather Conditions» Transport and Telecom-munication Journal, vol.23, no.1, Р. 73-80. https://doi.org/10.2478/ttj-2022-0007.
14. Melnyk, O., Bychkovsky, Y., Voloshyn, A. (2022) Maritime situational awareness аs a key measure for safe ship operation. Scientific Journal of Silesian University of Technology. Series Transport. 114, Р. 91-101. ISSN: 0209-3324. https://doi.org/10.20858/sjsutst.2022.114.8.
15. Onyshchenko, S., Berestenko, V., Melnyk, O., Onishchenko, O., Fomin, O., Kravchenko, O., Demidiuk, O. Integrated optimization models for carrier se-lection and route planning in multimodal transport systems. Scientific Journal of Silesian University of Technology. Series Transport. 2024, 125, 213-228. ISSN: 0209-3324. DOI: https://doi.org/10.20858/sjsutst.2024.125.14.
2. Gonçalves, A., Dutra, A., & Mussi, C.C. (2025). Occupational risks and health and safety management strategies in the port sector: A systematic literature review. Safety Science, 184, 106767. https://doi.org/10.1016/j.ssci.2024.106767.
3. Zhai, W., Zeng, Q., & Wang, L. (2025). Configurational pathways to port environmental efficiency: An fsQCA-NCA analysis of CO₂ reduction drivers in port management. Regional Studies in Marine Science, 92, 104618. https://doi.org/10.1016/j.rsma.2025.104618.
4. Januarsi, Y., Irman, A., & Ridwan, A. (2025). Integrated port governance and digitalization system: A model for boosting port logistics performance. The Asian Journal of Shipping and Logistics. https://doi.org/10.1016/j.ajsl.2025.12.002.
5. Novaes Mathias, T., Gomes, J.M.L., Zanezi, A.C., Botter, R.C., & De Oliveira Mota, D. (2026). Maritime logbooks as strategic infrastructure: Policy, techno-logy, and the future of port operations. Marine Policy, 185, 106975. https://doi.org/10.1016/j.marpol.2025.106975.
6. Fernandez-Perez, A., Lara, J.L., & Losada, I.J. (2025). Flexible adaptation strategies for managing compound climate change risks in port infrastructures. Coastal Engineering, 202, 104844. https://doi.org/10.1016/j.coastaleng.2025.104844.
7. Othman, M.K., Mohd Sabri, N.S.A., Abdul Rahman, N.S.F., & Osnin, N.A. (2025). Port operators’ perceptions and acceptance of maritime autonomous surface ships (MASS) operations: Insights from Malaysia. Case Studies on Transport Policy, 22, 101567. https://doi.org/10.1016/j.cstp.2025.101567.
8. Deng, W., Ma, X., & Qiao, W. (2025). Resilience-oriented safety barrier perfor-mance assessment in maritime operational risk management. Transportation Research Part D: Transport and Environment, 139, 104581. https://doi.org/10.1016/j.trd.2024.104581.
9. Ma, W., Tang, D., Dong, M., Arasteh, H., & Guerrero, J.M. (2025). Coordinated robust configuration of soft open point and energy storage systems for resilience enhancement of integrated multi-energy system at ports. Applied Energy, 401, 126644. https://doi.org/10.1016/j.apenergy.2025.126644.
10. Wang, S., Wang, H., Xue, G., Han, Y., Qin, Q., Zhang, L., & Ma, X. (2024). Correlation analysis of failure risk factors in automated container port logistics systems from a resilience perspective. Journal of Sea Research, 202, 102552. https://doi.org/10.1016/j.seares.2024.102552.
11. Lucio, D., Lara, J., Tomás, A., & Losada, I. (2024). Probabilistic assessment of climate-related impacts and risks in ports. Reliability Engineering & System Safety, 251, 110333. https://doi.org/10.1016/j.ress.2024.110333.
12. Lei, H., Ren, X., Chen, J., & Ma, Y. (2025). Multi-criteria optimization of methanol-based energy systems in ports using PMPEF-TOPSIS: A path to sustainable and efficient operations. Journal of Cleaner Production, 538, 147366. https://doi.org/10.1016/j.jclepro.2025.147366.
13. Onyshchenko, S., Melnyk, O. (2022) «Efficiency of Ship Operation in Trans-portation of Oversized and Heavy Cargo by Optimizing the Speed Mode Considering the Impact of Weather Conditions» Transport and Telecom-munication Journal, vol.23, no.1, Р. 73-80. https://doi.org/10.2478/ttj-2022-0007.
14. Melnyk, O., Bychkovsky, Y., Voloshyn, A. (2022) Maritime situational awareness аs a key measure for safe ship operation. Scientific Journal of Silesian University of Technology. Series Transport. 114, Р. 91-101. ISSN: 0209-3324. https://doi.org/10.20858/sjsutst.2022.114.8.
15. Onyshchenko, S., Berestenko, V., Melnyk, O., Onishchenko, O., Fomin, O., Kravchenko, O., Demidiuk, O. Integrated optimization models for carrier se-lection and route planning in multimodal transport systems. Scientific Journal of Silesian University of Technology. Series Transport. 2024, 125, 213-228. ISSN: 0209-3324. DOI: https://doi.org/10.20858/sjsutst.2024.125.14.