Modeling of Transport and Logistical Processes at the Local Level: The Case of Tatarstan

  • R. S. Nikolaev
  • D. O. Egorov
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


Transport flows at the local level (within the boundaries close to counties) are the basic links (elementary units), from which the formation of more powerful flows begins. This is one of the most complicated links of the logistics chain, which is the primary element of the “hinterland” formation for the transport and logistics nodes. The potential of the transport and logistics hub and the choice of mechanisms for optimizing transport and logistics processes at more global levels (meso- and macro-levels) will depend on the flows efficiency in the hinterland area. The work presents approaches to the study and modeling of transport-logistical processes at the local level, as well as the mechanisms for identifying the most acceptable space-time organization variants of transport and logistics processes. Modeling was carried out by the example of Yelabuga municipal district in the Republic of Tatarstan (Russia).



The research was carried out at the expense of a grant from the Russian Science Foundation (project № 17-78-10066) “Optimization of the transport and logistics system of Russia and the regions as an instrument of sustainable development.”

The work is performed according to the Russian Government Program of Competitive Growth of Kazan Federal University.


  1. Aized, T., & Srai, J. S. (2013). Hierarchical modelling of last-mile logistics distribution system. International Journal of Advantage Manufacturing Technology, 70(5–8), 1053–1060.Google Scholar
  2. Beckers, J., Vanhoof, M., & Verhetsel, A. (2017). Returning the particular: Understanding hierarchies in the Belgian logistics system. Journal of Transports (in Press). Access mode Scholar
  3. Ben-Akiva, M., Meersman, H., & Van de Voorde, E. (2013). Recent developments in freight transport modelling. Freight transport modelling.Google Scholar
  4. Cetinkaya, B., Cuthbertson, R., & Ewer, G., et al. (2011). Sustainable supply chain management: Practical ideas for moving towards best practice. Berlin Heidelberg: Springer-Verlag.Google Scholar
  5. Ducruet, C., & Itoh, H. (2016). Regions and material flows: Investigating the regional branching and industry relatedness of port traffics in a global perspective. Journal of Economic Geography, 16(4), 805–830.CrossRefGoogle Scholar
  6. Egorov, D. O., & Nikolaev, R. S. (2016). Spatial and time remoteness as a subject of transport and logistics research (by the example of the republic of Tatarstan healthcare system). Journal of Economics and Economic Education Research, 17(2), 389–400.Google Scholar
  7. Engström, R. (2016). The roads’ role in the freight transport system. Transportation Research Procedia, 14, 1443–1452.CrossRefGoogle Scholar
  8. Grabara, J., Dima, I. C., & Okwiet, B. B. (2012). Logistical centres and their roles in companies’ activities on the example of SME’s Enterprise X. Romanian Statistical Review, 45–53.Google Scholar
  9. Gudmundsson, H., Hall, R. P., Marsden, G., & Zietsman, J. (2016). Sustainable transportation—Indicators, frameworks, and performance management (Springer Texts in Business and Economics). Berlin Heidelberg: Springer-Verlag.Google Scholar
  10. Guerrero, D., & Proulhac, L. (2014). Freight flows and urban hierarchy. Research in Transportation Business and Management, 11, 105–115.CrossRefGoogle Scholar
  11. Hesse, M., & Rodrigue, J. P. (2004). The transport geography of logistics and freight distribution. Journal of Transport Geography, 12, 171–184.CrossRefGoogle Scholar
  12. Hoggart, K. (2016). The City’s Hinterland: Dynamism and divergence in Europe’s Peri-Urban territories. NY: Routledge London.CrossRefGoogle Scholar
  13. Huber, S., Klauenberg, J., & Thaller, C. (2015). Consideration of transport logistics hubs in freight transport demand models. European Transport Research Review, 7, 32.CrossRefGoogle Scholar
  14. Liedtke, G. (2009). Principles of micro-behavior commodity transport modeling. Transportation Research Part E, 45, 795–809.CrossRefGoogle Scholar
  15. Liedtke, G., & Schepperle, H. (2004). Segmentation of the transportation market with regard to activity-based freight transport modelling. International Journal of Logistics Research and Applications, 7(3), 199–218.CrossRefGoogle Scholar
  16. Litman, T. (2014). Well measured. Developing indicators for sustainable and livable transport planning. Victoria, BC, USA: Victoria Transport Policy Institute, U.S.Google Scholar
  17. Makarova, I., Shubenkova, K., & Gabsalikhova, L. (2017). Analysis of the city transport system’s development strategy design principles with account of risks and specific features of spatial development. Transport Problems, 12(1), 125–138.CrossRefGoogle Scholar
  18. McKinnon, A., Browne, M., Whiteing, A., & Piecyk, M. (2015). Green logistics: Improving the environmental sustainability of logistics. Kogan Page Limited.Google Scholar
  19. Ortiz-Astorquizaa, C., Contrerasa, I., & Laporte, G. (2018). Multi-level facility location problems. European Journal of Operational Research, 267(3), 791–805.CrossRefGoogle Scholar
  20. Rodrigue, J. P., Comtois, C., & Slack, B. (2017). The geography of transport systems (4th ed., p. 440). NY: Routledge.Google Scholar
  21. Rolko, K., & Friedrich, H. (2017). Locations of logistics service providers in Germany—The basis for a new freight transport generation model. Transportation Research Procedia, 25, 1061–1074.CrossRefGoogle Scholar
  22. Sheu, J. B., & Lin, A.-Y. S. (2012). Hierarchical facility network planning model for global logistics network configuration. Applied Mathematical Modelling, 36(7), 3053–3066.CrossRefGoogle Scholar
  23. Van den Heuvel, F., Rivera, L., Van Donselaar, K., De Jong, A., Sheffi, Y., & De Langen, P., et al. (2014). Relationship between freight accessibility and logistics employment in US counties. Transportation Research Part A: Policy and Practice, 59(1), 91–105.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • R. S. Nikolaev
    • 1
  • D. O. Egorov
    • 2
  1. 1.Perm State UniversityPermRussia
  2. 2.Kazan Federal UniversityKazanRussia

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