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Methodological Approaches to the Delimitation of the Boundaries of the Moscow Agglomeration Based on Data from Mobile Network Operators

Author

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  • A. G. Makhrova

    (Faculty of Geography, Lomonosov Moscow State University
    Institute of Geography, Russian Academy of Sciences)

  • R. A. Babkin

    (Faculty of Geography, Lomonosov Moscow State University
    Plekhanov Russian University of Economics)

Abstract

— The article highlights the boundaries of the Moscow agglomeration and analyzes its spatial structure using approaches involving the concept of time geography. The study is based on a methodology for determining functional urban areas of the Organization for Economic Cooperation and Development (OECD); mobile operators data on the localization of network users are applied. The analysis showed the impossibility of using the OECD methodology without adaptation to Russian conditions. This is because, according to this methodology, the entire territory of a “real city,” including the “bedroom districts” of Moscow and its satellite towns, lies in the core zone. Meanwhile, the suburban zone extends to the territory of almost all of Moscow oblast, in many directions beyond its borders. The proposed adapted variant of the delimitation methodology involves a reduction in the size of the core to the borders of the Moscow Ring Road (MKAD) with a corresponding decrease in the boundaries of the suburban zone. This is consistent with the approaches and ideas prevailing in Russian practice. Using the methodology of the spatiotemporal approach (concept of time geography), a “pulsating agglomeration” model was developed. This model is a way of studying and analyzing the dynamics of socioeconomic functioning of agglomerations, taking into account the different socioeconomic rhythms of the agglomeration. As part of the agglomeration, “static” (constant throughout the year) and “mobile” (seasonal) parts of the suburban area were distinguished. This allowed us to include in the analysis of “pulsation” not only the population of the structural elements of the agglomeration, but also its borders, depending on the seasons of the year.

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  • 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.
    • Handle: RePEc:spr:rrorus:v:10:y:2020:i:3:d:10.1134_s2079970520030090
    DOI: 10.1134/S2079970520030090
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    References listed on IDEAS

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    1. Lewis Dijkstra & Hugo Poelman & Paolo Veneri, 2019. "The EU-OECD definition of a functional urban area," OECD Regional Development Working Papers 2019/11, OECD Publishing.
    2. Tiit Tammaru, 2005. "Suburbanisation, Employment Change, and Commuting in the Tallinn Metropolitan Area," Environment and Planning A, , vol. 37(9), pages 1669-1687, September.
    3. A. G. Makhrova & P. L. Kirillov & A. N. Bochkarev, 2017. "Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data," Regional Research of Russia, Springer, vol. 7(1), pages 36-44, January.
    4. A. G. Makhrova & P. L. Kirillov, 2016. "Seasonal pulsation of settlement pattern in the Moscow agglomeration under the influence of dacha and work commuting: Approaches to studies and assessment," Regional Research of Russia, Springer, vol. 6(1), pages 1-8, January.
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    Cited by:

    1. A. G. Makhrova & R. A. Babkin & P. L. Kirillov & A. V. Starikova & A. V. Sheludkov, 2022. "Temporary Mobility and Population Pulsations in Space of Post-Soviet Russia," Regional Research of Russia, Springer, vol. 12(1), pages 36-50, March.
    2. L. B. Karachurina & N. V. Mkrtchyan & M. S. Savoskul, 2022. "New Data on Population Migration in Russia: a Challenge for Researchers?," Regional Research of Russia, Springer, vol. 12(1), pages 51-66, March.
    3. 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.
    4. E. V. Antonov & N. K. Kurichev & A. I. Treivish, 2022. "Shrinking Urban System of the Largest Country: Research Progress and Unsolved Issues," Regional Research of Russia, Springer, vol. 12(1), pages 20-35, March.
    5. S. S. Lachininskii & I. A. Logvinov & I. S. Sorokin, 2024. "Modern Methods for Studying the Spatial Structure of Urban Agglomerations (a Case Study of the St. Petersburg Urban Agglomeration)," Regional Research of Russia, Springer, vol. 14(2), pages 170-180, June.
    6. A. G. Makhrova & R. A. Babkin & P. L. Kirillov & E. E. Kazakov, 2021. "Moscow Dachas: Will the Second Home Become the First?," Regional Research of Russia, Springer, vol. 11(4), pages 555-568, October.
    7. R. A. Babkin, 2024. "Review of Russian Approaches to Assessing Commuting Labor Migration," Regional Research of Russia, Springer, vol. 14(2), pages 160-169, June.
    8. Vanhatalo, Jaana & Partanen, Jenni, 2022. "Exploring the spectrum of urban area key figures using data from Finland and proposing guidelines for delineation of urban areas," Land Use Policy, Elsevier, vol. 112(C).
    9. L. B. Karachurina & N. V. Mkrtchyan, 2021. "Intraregional Population Migration in Russia: Suburbs Outperform Capitals," Regional Research of Russia, Springer, vol. 11(1), pages 48-60, January.
    10. A. M. Abdullaev & D. Yu. Zemlyanskii & L. V. Kalinovskii & D. M. Medvednikova, 2024. "Socioeconomic Situation of Russian Urban Agglomerations in 2015–2021," Regional Research of Russia, Springer, vol. 14(2), pages 143-159, June.

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