Peculiarities of truck transportation in wartime conditions
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- Category: Content №6 2023
- Last Updated on 23 December 2023
- Published on 30 November -0001
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Authors:
S.Minakova*, orcid.org/0000-0001-7241-0859, Odesa State Academy of Construction and Architecture Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
T.Volobuyeva, orcid.org/0000-0003-0340-3326, Odesa State Academy of Construction and Architecture Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V.Minakov, orcid.org/0000-0002-0087-503X, Odesa State Academy of Construction and Architecture Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.Minakova, orcid.org/0000-0003-4573-6444, Odesa Institute of PJSC “Interregional Academy of Management staff”, Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A.Tselikova, orcid.org/0000-0002-1394-3986, Odesa State Academy of Construction and Architecture Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (6): 184 - 191
https://doi.org/10.33271/nvngu/2023-6/184
Abstract:
Purpose. To identify the peculiarities and problems of automobile transport (AT) in the war conditions (WC) in Ukraine. To propose ways to solve the mentioned problems, to eliminate reasons that lead to an increase in the risks for AT. To develop a mathematical model for optimization of transportation by AT under unclear military risks.
Methodology. The method of abstract-logical analysis made it possible to establish peculiarities and problems of AT in WC and propose ways to solve these problems, to eliminate the causes that lead to increase in risks of AT. The method of analysis and synthesis is used to determine the circumstances of the narrowing of the influence of institutional approaches on the optimization of AT and to propose a combination of direct and indirect institutional influence. The method of comparative analysis finds that the unevenness of risks on transport routes leads to the imbalance of transportation and proposes measures to reduce the level of imbalance, to approach optimal results as well as proposes the formation of multi-stage transportation, which will ensure the variability of transport chains due to fragmentation and an increase in the level of organization of transport networks. Mathematical methods were applied to develop a model for optimization of AT in WC.
Findings. The key tasks of building a strategy of a highly adaptive transport system were formulated and its peculiarities were indicated. Circumstances of narrowing the influence of institutional approaches to AT in WC were established and a combination of direct and indirect institutional influence was proposed, which will be based on the developed mathematical model. It is established that unevenness of risks on transport routes leads to imbalance of transportation and measures to reduce the imbalance are proposed. The formation of multi-stage transportation is proposed for variability of transport chains, organization of transport networks and ensuring the reliability of AT.
Originality. To take into account risks with a significant level of uncertainty, a strategy for building a highly adaptive transport system was proposed, and a mathematical model for optimization of AT in the presence of uncertain military risks was developed.
Practical values. The peculiarities and problems of AT in the conditions of the war in Ukraine are given. Ways to solve the mentioned problems, to eliminate the causes that lead to increase in risks for AT are proposed.
Keywords: mathematical modeling, optimization, undefined parameters, road cargo transportation, war conditions
References.
1. Shults, S. L., & Lutskiv, O. M. (2022). The problems of functioning of transport infrastructure and logistics in Ukraine in wartime. Regional economy, 2, 85-93. https://doi.org/10.36818/1562-0905-2022-2-9.
2. Kulakova, S., Kalembet, A., & Podkopova, D. (2023). Features of the formation of logistics expenses of enterprises under military conditions. Financial and credit systems: prospects for development, 1(8), 22-29. https://doi.org/10.26565/2786-4995-2023-1-03.
3. Lysyi, V., & Steblak, D. (2022). Impact of the war on transport development in Ukraine. Scientific Bulletin of the Uzhhorod National University, 43, 92-96. https://doi.org/10.32782/2413-9971/2022-43-16.
4. Hudimov, V., & Maksymenkov, Y. (2022). Transport and logistics supply of the armed forces of Ukraine, other military forms during combat operations. Transport systems and transport technologies, 24, 33-39. https://doi.org/10.15802/tstt2022/272057.
5. Ozarko, K., & Chelombytko, V. (2022). Peculiarities of Logistics Processes During the War Period: Problems and Development Prospects. Economic Bulletin of Donbas, 2(68), 74-78. https://doi.org/10.12958/1817-3772-2022-2(68)-74-78.
6. Lesnikova, I. Y., Khalipova, N. V., Kuzmenko, A. I., Zhyr, S. I., & Shapovalov, A. V. (2023). Optimization of the transport and technological scheme of transportation of agricultural products in the special conditions of Ukraine. Systems and Technologies, 65(1), 111-123. https://doi.org/10.32782/2521-6643-2023.1-65.14.
7. Kotenko, S., Ilchenko, S., Kasianova, V., Diakov, V., Mashkantseva, S., & Nitsenko, V. (2022). Determination of the Expected Value of Losses Caused by the Cargo Transportation Insurance Risks by Water Transport. Inventions, 7(3), 81. https://doi.org/10.3390/inventions7030081.
8. Tubis, A. (2018). Risk assessment in road transport – strategic and business approach. Journal of KONBiN, 45(1), 305-324. https://doi.org/10.2478/jok-2018-0016.
9. Shevchenko, I., Dmytriiev, I., & Dmytriieva, O. (2020). Risk modeling in working out the plan of developing the road transport cargo enterprise. Economics of the transport complex, 51, 96-101. https://doi.org/10.30977/AT.2019-8342.2022.51.0.10.
10. Waller, S. T., Qurashi, M., Sotnikova, A., Karva, L., & Chand, S. (2022). Analyzing and modeling network travel patterns during the Ukraine invasion using crowd-sourced pervasive traffic data. SSRN Electronic Journal, 1-20. https://doi.org/10.48550/arXiv.2208.04297.
11. Oglih, V. V., Shapovalov, О. V., Kuzmenko, A. I., & Lesnikova, I. Yu. (2022). Making strategic and tactical solutions in the transport and logistics system. Systems and technologies, 1(63), 40-46. https://doi.org/10.32782/2521-6643-2022.1-63.3.
12. Juman, Z. A. M. S., & Nawarathne, N. G. S. A. (2019). An efficient alternative approach to solve a transportation problem. Ceylon Journal of Science, 48(1), 19. https://doi.org/10.4038/cjs.v48i1.7584.
13. Khalipova, N. V., Pasichnyk, A. N., Medvediev, Ye. P., & Prohoniuk, I. V. (2018). Methodology of transport and logistics enterprises strategy development modeling on the basis of the neural networks. Collection of scientific papers of the DNURT named after Academician V. Lazaryan, 15, 86-98. https://doi.org/10.15802/tstt2018/150214.
14. Nedashkivskyi, V. (2023). Insurance with war risks: what the market offers. Finance.ua. Retrieved from https://finance.ua/ua/insurance/strahuvannia-z-voennymy-ryzykamy.
15. Diia. Biznes (2023). Trade in 2022 by types of transport. Retrieved from https://export.gov.ua/news/4413-torgivlia_2022_roku_za_vidami_transportnikh_perevezen.
16. Ministry for Communities, Territories and Infrastructure Development of Ukraine (2023). Technical condition of public highways. Retrieved from https://mtu.gov.ua/content/tehnichniy-stan-avtomobilnih-dorig-avtomobilnih-dorig-zagalnogo-vikoristannya.html.
17. Kalat, Y., Maksymenko, A., & Tomashyk, L. (2023). Passenger and cargo flows through the Ukraine-EU border under the conditions of covid-19 and war. Scientific Bulletin of Uzhhorod University, 1(61), 63-71. https://doi.org/10.24144/2409-6857.2023.1(61).63-71.
18. The World Bank and IRU (2023). Estimated Costs of Transport Externalities. Road Freight Transport, Services Reform. Guiding Principles for Practitioners and Policy Makers. Retrieved from https://www.iru.org/sites/default/files/2017-01/iru-world-bank-road-freight-transport-services-reform-en.pdf.
19. Kiseleva, E. M., & Prytomanova, O. M. (2020). Valuation of Startups Investment Attractiveness Based on Neuro-Fuzzy Technologies. System Research & Information Technologies, 1, 78-89. https://doi.org/10.20535/SRIT.2308-8893.2020.1.07.
20. Bazaluk, O., Kotenko, S., & Nitsenko, V. (2021). Entropy as an Objective Function of Optimization Multimodal Transportations. Entropy, 23(8), 946. https://doi.org/10.3390/e23080946.
21. Kotenko, S., Nitsenko, V., Hanzhurenko, I., & Havrysh, V. (2020). The Mathematical Modeling Stages of Combining the Carriage of Goods for Indefinite, Fuzzy and Stochastic Parameters. International Journal of Integrated Engineering, 12(7), 173-180. https://doi.org/10.30880/ijie.2020.12.07.019.
22. Dudnik, A., Kuzmych, L., Trush, O., Domkiv, T., Leshchenko, O., & Vyshnivskyi, V. (2020). Smart Home Technology Network Construction Method and Device Interaction organization Concept. 2020 IEEE 2 nd International Conference on System Analysis & Intelligent Computing (SAIC), (pp. 1-6). Kyiv, Ukraine. https://doi.org/10.1109/SAIC51296.2020.9239220.
23. Kryshtanovych, M., Akimova, L., Akimov, O., Kubiniy, N., & Marhitich, V. (2021). Modeling the process of forming the safety potential of engineering enterprises. International Journal of Safety and Security Engineering, 11(3), 223-230. https://doi.org/10.18280/ijsse.110302.
24. Dvigun, A., Datsii, O., Levchenko, N., Shyshkanova, G., Platonov, O., & Zalizniuk, V. (2022). Increasing Ambition To Reduce The Carbon Trace Of Multimodal Transportation In The Conditions Of Ukraine’s Economy Transformation Towards Climate Neutrality. Science and Innovation, 18(1), 96-111. https://doi.org/10.15407/scine18.01.096.