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Quantifying Spatial Structure of the Largest Regional Centers in Russia: General Patterns and Typological Features

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  • E. O. Saveleva

    (Department of Architecture and Urban Studies, Perm National Research Polytechnic University)

Abstract

The quantitative analysis of urban form has long become an important component of both academic research and practice contributing to a better understanding of how cities function and evolve. Despite the abundance of studies quantifying urban structures of the cities in developed countries, the reach of modern quantitative methods into studying the urban form of the Russian cities has been limited. This paper aims to fill in the knowledge gap of the quantified urban form characteristics of the largest regional centers in Russia presenting a GIS-based multivariate analysis of the similarities and differences between their urban structures. The results of the spatial modelling form the base for the development of the typology of urban structures produced via the k-means statistical clustering technique. Attributing the city to one of the three types of urban form identified—compact, discrete, or extended—allows obtaining a better understanding of the city’s spatial organisation that should in turn feed into the grounded strategy for its development.

Suggested Citation

  • E. O. Saveleva, 2022. "Quantifying Spatial Structure of the Largest Regional Centers in Russia: General Patterns and Typological Features," Regional Research of Russia, Springer, vol. 12(2), pages 227-240, June.
  • Handle: RePEc:spr:rrorus:v:12:y:2022:i:2:d:10.1134_s2079970522020216
    DOI: 10.1134/S2079970522020216
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    References listed on IDEAS

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    1. R. A. Dokhov & N. A. Sinitsyn, 2020. "Sprawl in Russia: Growth and Structural Transformation of the Belgorod Suburbs," Regional Research of Russia, Springer, vol. 10(2), pages 247-259, April.
    2. T. G. Nefedova & A. I. Treivish, 2019. "Urbanization and Seasonal Deurbanization in Modern Russia," Regional Research of Russia, Springer, vol. 9(1), pages 1-11, January.
    3. A. G. Makhrova & R. A. Babkin, 2020. "Methodological Approaches to the Delimitation of the Boundaries of the Moscow Agglomeration Based on Data from Mobile Network Operators," Regional Research of Russia, Springer, vol. 10(3), pages 373-380, July.
    4. Stephan Schmidt & Stefan Fina & Stefan Siedentop, 2015. "Post-socialist Sprawl: A Cross-Country Comparison," European Planning Studies, Taylor & Francis Journals, vol. 23(7), pages 1357-1380, July.
    5. Elena Koncheva & Nikolay Zalesskiy, 2016. "Spatial Development of the Largest Russian Cities During the Post-Soviet Period: Orienting Towards Transit or Maintaining Soviet Trends," HSE Working papers WP BRP 04/URB/2016, National Research University Higher School of Economics.
    6. E. V. Antonov & A. G. Makhrova, 2019. "Largest Urban Agglomerations and Forms of Settlement Pattern at the Supra-Agglomeration Level in Russia," Regional Research of Russia, Springer, vol. 9(4), pages 370-382, October.
    7. McDonald, John F., 1989. "Econometric studies of urban population density: A survey," Journal of Urban Economics, Elsevier, vol. 26(3), pages 361-385, November.
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