Model of the resource allocation system structure based on the functional-network principle of representing indicators
- Authors: Khalturin R.A.1, Kashtanov I.Y.2, Kutkov V.D.2, Akinshin N.S.2
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Affiliations:
- Рязанский пр-т, 99, г. Москва, Российская Федерация
- State University of Management (SUM)
- Issue: Vol 15, No 1 (2025)
- Pages: 234-251
- Section: Articles
- Published: 31.03.2025
- URL: https://journals.rcsi.science/2328-1391/article/view/298901
- DOI: https://doi.org/10.12731/2227-930X-2025-15-1-357
- EDN: https://elibrary.ru/STTJXT
- ID: 298901
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Abstract
Background. The relevance of the article's topic is driven by the need to improve the efficiency of resource allocation in urban transport systems, where the interaction of various transport modes is complicated by their differing sectoral and administrative subordination, as well as the incompatibility of performance metrics, hindering the formation of a unified system with common efficiency indicators. The proposed model, based on the functional-network principle, aims to address these issues by facilitating the integration of transport modes and standardizing approaches to performance evaluation.
Purpose. To develop a model of the resource allocation system structure based on the functional-network principle for integrating various public transport modes into a unified transport network.
Materials and methods. The methods and materials described in the text include the application of digital technologies and computational power to implement the functional-network principle in transport system management. The focus is on multicriteria tasks requiring specific solution methods, such as consolidating multiple objectives into a single criterion or utilizing multidimensional models. Research materials involve the analysis of management systems based on hierarchical levels (infrastructure, route network, transport operators) and the development of models that account for multidimensional goal-setting and the interaction of various transport modes. Methods include mathematical modeling, probabilistic distribution analysis, and efficiency assessment of resource allocation in complex transport systems.
Results. The system representation is based on the formation of morphological matrices for selecting resource allocation scenarios using an evaluation framework of efficiency metrics at the first hierarchical level. Three models of the management system structure based on the functional-network principle were developed, and the necessity of creating a model for calculating weighting coefficients to analyze the entire space of potential solutions was established.
About the authors
Roman A. Khalturin
Рязанский пр-т, 99, г. Москва, Российская Федерация
Author for correspondence.
Email: ra_khalturin@guu.ru
Candidate of Economic Sciences
Russian Federation, 99, Ryazansky Prospekt, Moscow, Russian FederationIgor Yu. Kashtanov
State University of Management (SUM)
Email: iyu_kashtanov@guu.ru
Postgraduate Student
Russian Federation, 99, Ryazansky Prospekt, Moscow, Russian FederationVladimir D. Kutkov
State University of Management (SUM)
Email: KutkovVD@yandex.ru
ORCID iD: 0009-0005-0988-1355
Postgraduate Student
Russian Federation, 99, Ryazansky Prospekt, Moscow, Russian FederationNikita S. Akinshin
State University of Management (SUM)
Email: Nikita14Akin@yandex.ru
ORCID iD: 0009-0009-4229-7918
Postgraduate Student
99, Ryazansky Prospekt, Moscow, Russian FederationReferences
- Brusyakin, D. A., Kazakov, A. L., & Maslov, A. M. (2012). Optimization of regional intercity and suburban passenger transport route network using logistics principles. Transport of the Urals, (1), 106–109. EDN: https://elibrary.ru/OWWUAB
- Vakulenko, S. P., Larin, O. N., & Levin, S. B. (2014). Theoretical aspects of interaction mechanisms in transport systems. World of Transport, (6), 14–27. EDN: https://elibrary.ru/TCUSLT
- Vasil'ev, A. G. (2012). Increase in efficiency of suburban and intercity passenger transport based on automatic control systems. Unpublished doctoral dissertation abstract. Yekaterinburg. 20 p. EDN: https://elibrary.ru/QIEYXJ
- Volkova, E. M. (2013). Establishing interaction system between rail company and subjects of suburban passenger transport market. Unpublished doctoral dissertation abstract. St. Petersburg. 24 p. EDN: https://elibrary.ru/ZPBBBL
- Novoselov, V. I. (2000). Increase in efficiency of municipal passenger transport rolling stock utilization. Unpublished doctoral dissertation abstract. Novosibirsk. 23 p.
- Say, V. M., & Sizy, S. V. (2011). Emergence, Functioning, and Breakdown of Organizational Networks. Monograph. Yekaterinburg: UrGPUs. 270 p. EDN: https://elibrary.ru/OJALRX
- Brusyakin, D. A., & Ponomoreva, M. S. (2015). Mutually beneficial cooperation model for carriers in intraregional passenger transport segment. Bulletin of Orenburg State University, (9), 137–143. EDN: https://elibrary.ru/VHLKEL
- Efimova, O. Yu. (2016). Adaptive model for quality management of urban passenger transport. Bulletin of Nizhny Novgorod University named after N. I. Lobachevsky. Series: Social Sciences, (1), 48–54. EDN: https://elibrary.ru/VYURMF
- Znamensky, D. N., & Fyodorov, M. P. (2011). Development of comprehensive model for optimization of urban transport routing network. Scientific and Technical Newsletter. INNOVATICS SPbSPU, (3), 154–158. EDN: https://elibrary.ru/NXVZEN
- Terent'ev, A. V., Evimenko, D. B., & Karelina, M. Yu. (2017). Zoning methods as optimization methods for transport processes. Bulletin of Civil Engineers, (6), 291–294. https://doi.org/10.23968/1999-5571-2017-14-6-291-294 EDN: https://elibrary.ru/YPNFZF
- Terentyev, A., Evtiukov, S., & Karelina, M. (2017). A method for multi-criteria evaluation of the complex safety characteristic of a road vehicle. Transportation Research Procedia, 36, 149–156. https://doi.org/10.1016/j.trpro.2018.12.057 EDN: https://elibrary.ru/DGMMDN
- Moiseev, V. V., Terentiev, A. V., Stroev, V. V., & Karelina, M. Yu. (2018). Enhancement of economic efficiency of transport performance using multi-criteria estimation. Advances in Economics, Business and Management Research, 61, 167–171. EDN: https://elibrary.ru/WHRSRR
- Terentiev, A. V., Yevtukov, S. S., & Karelina, E. A. (2020). Development of zoning method for solving economic problems of optimal resource allocation to objects of various importance in context of incomplete information. Advances in Economics, Business and Management Research, 128, 765–772. https://doi.org/10.2991/aebmr.k.200312.108 EDN: https://elibrary.ru/LJQRIK
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