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Economic and Mathematical Evaluation Model of Interaction Between Container Transportation System and Russian Regions

  • Daria KochnevaEmail author
  • Vasiliy Say
  • Sergey Siziy
Conference paper
  • 44 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

The purpose of the article is to develop an economic and mathematical evaluation model of interaction between the container transportation sector and a region. The topicality of the research is evidenced by the lack of coordination mechanisms between the development programs for container transportation system and other branches of regional economy. This leads to a disproportionate development of the terminal capacities in the region, inefficient transportation flows with empty containers, suboptimal use of the rolling stock. The article establishes an outline for interaction analysis that considers multifaceted, reciprocal effect the container transportation has on a region. To estimate the economic development of a region due to the interaction with the container system, the notion of regional wealth will be used. The main factors affecting regional wealth and their numerical indicators are provided in the article. The lagging nature of the influence of individual factors on the regional wealth is noted, and a general method for determining this time lag is designed. A linear evaluation form for regional wealth is provided, which considers its dependence on the factors of the container transportation development. The practical significance of the research results lies in the model’s potential to predict the wealth growth of a region, to evaluate the priorities for the structural and technical development of the container transportation system, to design strategies for social and economic development of the region and its transportation sector, to generate optimal investment flows.

Keywords

Container system Containerization Regional growth Evaluation of interaction 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Ural State University of Railway TransportEkaterinburgRussia
  2. 2.Ural Federal UniversityEkaterinburgRussia

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