THE RATIONALE FOR DECISION-MAKING IN TRANSPORT POLICY BASED ON A MULTI-AGENT APPROACH: A CASE STUDY OF THE RUSSIAN TRANSPORT STRATEGY

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There are two main methods commonly used for decision-making: multi-criteria analysis (MCA) and cost-benefit analysis (CBA). The significance of this research lies in the fact that currently, the rationale behind the final decision in choosing among multiple options is often based solely on the anticipated financial and economic outcomes of the project. However, the project itself encompasses other strategic implications that are disregarded during the decision-making process. These include, but are not limited to, social, environmental, cultural, and natural consequences. This paper aims to propose a more comprehensive multi-criteria approach, providing a multi-agent solution for selecting from a diverse range of alternatives that align with national interests. The objective of this research is to identify the most promising subproject within the scope of the national transport project, considering not only financial aspects but also other crucial factors such as social, cultural impacts, human capital development, the creation of a new environment, the emergence of fresh opportunities, and the dismantling of institutional obstacles. The paper discusses two main methods used for decision-making in transportation policy: MCA and CBA. A practical experiment was conducted to select and rank promising sub-projects using T. Saaty's hierarchy analysis method, which takes into account the multi-agent approach to the development of transportation systems and their integration with state development in Russia. As part of the study, a practical experiment was conducted to select and rank promising subprojects using the T. Saati method of hierarchical analysis. Criteria for evaluating and prioritizing projects were developed, as well as new tools for future use in public administration of the transport industry. Research methods and methodology included T. Saati's hierarchical analysis method, statistical analysis, specification, mathematical modeling, and statistical tests. The main results of the study were the analysis of four existing promising projects: modernization of railway infrastructure, development of high-speed rail communication, modernization of automotive infrastructure, and development of inland waterway transport. Based on these projects, an applied multi-agent toolkit was proposed for decision-making in public transport administration. The results of the study can be used to inform decision-making processes in transport policy and to evaluate the effectiveness and economic feasibility of projects. The study used methods such as multi-criteria decision analysis (MCDA) and cost-benefit analysis (CBA) to analyze various aspects of transport projects and make informed decisions about their implementation.