The paper is devoted to the description of the model complex of the optimization intersectoral interregional model for railway transport, this model complex is considered as a key strategic planning tool developed by the Institute of Economics and Industrial Production Organization and the Siberian State University of Railways for railway transport, taking into account various resource constraints. The main functionality, distinguishing features from the previous version, and the interaction of various packages are discussed. From a methodological point of view, it is shown how to use this model complex for analyzing and modeling the consequences of various investment decisions, in various scenarios for evaluating the effectiveness of large-scale railway projects. The model complex is based on the intersectoral balance (“input-output” tables) and the transport balance. The target function is the end-use fund, but in addition, the model allows to assess how investments in railway infrastructure affect the gross domestic product, the growth rate of freight turnover of railway transport, and how the transport capacity of various sectors of the economy changes. In fact, the model is a digital twin of the Russian economy, on which various simulation calculations can be carried out depending on various modifications of the railway infrastructure. The use of this model is able to assess the macroeconomic efficiency of various railway projects.


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    Titel :

    Optimization Interregional Input-Output Model of Railway Transport: A Tool for Appraisal of Large-Scale Infrastructure Investments


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Manakov, Aleksey (Herausgeber:in) / Edigarian, Arkadii (Herausgeber:in) / Pyataev, Maksim (Autor:in)

    Kongress:

    International Scientific Siberian Transport Forum ; 2021 May 11, 2021 - May 14, 2021



    Erscheinungsdatum :

    2022-03-18


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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