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.
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Khalturin et al. (2025) studied this question.
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