The Second-Order Agglomerations in the Moscow Region: Trends in the Post-Soviet Period

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Abstract

The trends of second-order urban agglomerations in the Moscow region in the post-Soviet period is analyzed in the paper based on mobile operators’ data on commuting labour migration in 2023. Their delimitation was carried out using a graphoanalytical approach, which had not previously been used to study settlement network systems. The author’s methodology included the development of a set of graphs and their processing using the Leiden clustering algorithm (taking into account and without taking into account the influence of Moscow). The resulting clusters were examined as possible second-order urban agglomerations. Twenty-five small urban agglomerations were identified, sixteen of which originated in the Soviet period. In the course of the post-socialist transformation of social and economic life, a large-scale influx of migrants and mass housing construction in the area of the near and medium-remote suburbs of the metropolitan urban agglomeration, a dynamic and multi-core frontier belt emerged, in which new ones second-order urban agglomerations appeared (Vidnovskaya, Chekhovskaya and Naro-Fominskaya) and many previously existing ones were segmented (Lyuberetsko-Ramenskaya, Khimki-Zelenogradskaya and Mytishchi-Korolevsko-Shchelkovskaya). The rapid growth of nuclei occurred in them both as a result of migration growth and due to the entry of satellite settlements network into their composition as a consequence of administrative and territorial transformations. In turn, many cities that were not absorbed grew up and formed secondary cores, laying the foundation for further division of small urban agglomerations (for example, Lyubertskaya). In the urban agglomerations located on the periphery, the vast majority of which were formed during the Soviet era, it was only in recent years that the cores stopped reducing the population. At the same time, the role of large rural settlements network and workers’ settlements network has significantly increased, currently forming the spatial framework of suburban areas of most urban agglomerations. Thus, the analysis not only revealed the trends of this underestimated tier of the settlement network system, but also lays the theoretical foundation for the practical implementation of the principles of polycentric spatial development of the Moscow urban agglomeration.

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About the authors

R. A. Babkin

Plekhanov Russian University of Economics; Research Institute of Labor of the Ministry of Labor of Russia

Author for correspondence.
Email: babkin_ra@mail.ru
Russian Federation, Moscow; Moscow

A. N. Bereznyatsky

Central Economics and Mathematics Institute of the Russian Academy of Sciences

Email: artandtech@yandex.ru
Russian Federation, Moscow

A. G. Makhrova

Lomonosov Moscow State University

Email: almah@mail.ru
Russian Federation, Moscow

References

  1. Abilov A.Z., Makhrova A.G., Safronov S.G. The latest history of the development of Kazakhstan’s urban agglomerations. Reg. Res. Russ., 2023, vol. 13, no. 2, pp. 316–327.
  2. Antonov E.V., Makhrova A.G. Largest urban agglomerations and Super-agglomerations in Russia. Izv. Akad. Nauk, Ser. Geogr., 2019, no. 4, pp. 31–45. (In Russ.). https://doi.org/10.31857/S2587-55662019431-45
  3. Aivazyan S.A., Bezhaeva Z.I., Staroverov O.V. Klassifikatsiya mnogomernykh nablyudenii [Classification of Multidimensional Observations]. Moscow: Statistika Publ., 1974. 240 p.
  4. Argenbright R., Bityukova V.R., Kirillov P.L., Makhrova A.G., Nefedova T.G. Directed suburbanization in a changing context: “New Moscow” today. Eurasian Geogr. Econ., 2020, vol. 61, no. 3, pp. 211–239. https://doi 10.1080/15387216.2019.1707700
  5. Babkin R.A., Makhrova A.G. United cities of the Moscow region: The result of evolutionary development or administrative transformations. Vestn. Mosk. Univ. Ser. 5: Geogr., 2023, vol. 78, no. 6, pp. 38–49. (In Russ.). https://doi.org/10.55959/MSU0579-9414.5.78.6.4
  6. Babkin R.A. The spatial structure of the Moscow metropolis. Federalism: Teor. Prakt. Istor., 2024, vol. 29, no. 2, pp. 110–130. (In Russ.). https://doi.org/10.21686/2073-1051-2024-2-110-130
  7. Baburin V.L., Bityukova V.R., Kazmin M.A., Makhrova A.G. Moskovskii stolichnyi region na rubezhe vekov: noveishaya istoriya i puti razvitiya [Moscow Metropolitan Region at the Turn of the Century: Recent History and Ways of Development]. Smolensk: Oikumena Publ., 2003. 184 p.
  8. Blondel V. D., Guillaume J.-L., Lambiotte R., Lefebvre E. Fast unfolding of communities in large networks. J. Stat. Mech. Theor. Exp., 2008, no. 10, pp. 1–12. https://doi.org/10.1088/1742-5468/2008/10/P10008
  9. Brade I., Makhrova A., Nefedova T. Suburbanization of Moscow urban region. Confronting Suburbanization. In Urban Decentralization in Postsocialist Central and Eastern Europe. Chichester: Wiley-Blackwell, 2014, pp. 97–132.
  10. Functional urban areas by country. OECD, 2011. Available at: http://www.oecd.org/cfe/regional-policy/functionalurbanareasbycountry.html (accessed: 12.05.2024).
  11. Golubchikov O., Phelps N.A., Makhrova A. Khimki in Moscow city-region: From “closed city” to “edge city”? In International perspectives on suburbanization: a post-suburban world? New York: Palgrave Macmillan, 2011, pp. 143–162. https://doi.org/10.1057/9780230308626_8
  12. Goryachko M.D. Industrial functions of urban districts of the Moscow region at the present stage. In Geourbanistika i gradostroitel’stvo: teoreticheskie i prikladnye issledovaniya [Geourbanistics and Urban Planning: Theoretical and Applied Research]. Moscow, 2021, pp. 270–292. (In Russ.).
  13. Haggett P. Geography: A Modern Synthesis. Harper & Row, 1979. 627 p.
  14. Kolodin A.V. Second-order urban agglomerations as a factor in regional economic development. Nats. Inter.: Prior. Bezopasn., 2012, vol. 8, no. 31, pp. 28–37. (In Russ.).
  15. Kurichev N.K., Kuricheva E.K. The spatial pattern of housing construction in the Moscow metropolitan area: Radial and sectoral differentiation. Vestn. S.-Peterb. Univ. Nauki Zemle, 2020, vol. 65, no. 1, pp. 74–95. (In Russ.).
  16. Lappo G.M. Goroda na puti v budushchee [Cities on the Road to the Future]. Moscow: Mysl’ Publ., 1987. 256 p.
  17. Lappo G.M. Settlement development trends in the Moskovsky district. In Voprosy geografii. Vyp. 87 [Problems of Geography. Vol. 87]. Moscow: Mysl’ Publ., 1971, pp. 89–102. (In Russ.).
  18. Lappo G.M. Geografiya gorodov [Geography of Cities]. Moscow: VLADOS Publ., 1997. 480 p.
  19. Leizerovich E.E. Ekonomicheskie mikroraiony Rossii (setka i tipologiya) [Economic Microdistricts of Russia (Grid and Typology)]. Moscow: Trilobite Publ., 2004. 128 p.
  20. Listengurt F.M., Naymark N.I. Forecast of the formation and development of the network of urban settlements and settlement systems in the Central Economic Region. In Geografiya proizvoditel’nykh sil Tsentral’noi Rossii [Geography of the Productive Forces of Central Russia]. Moscow: MFGO USSR, 1971, pp. 113–121. (In Russ.).
  21. Lola A.M. Osnovy gradovedeniya i teorii goroda (v rossiiskoi interpretatsii) [Fundamentals of Urban Studies and the Theory of the City (In the Russian Interpretation)]. Moscow: Komkniga Publ, 2005. 324 p.
  22. Luke D.A. User’s Guide to Network Analysis. R. Springer, 2015. 250 p.
  23. Maergoiz I.M. Territorial’naya struktura khozyaistva [Territorial Structure of the Economy]. Novosibirsk: Nauka Publ., 1986. 300 p.
  24. Makushin M.A., Goryachko M.D. The Geographical patterns of the warehouse property market in the Moscow urban agglomeration. Reg. Res. Russ., 2022, vol. 12, pp. 520–530. https://doi.org/10.1134/S2079970522700253
  25. Makhrova A.G., Babkin R.A. Methodological approaches for Moscow urban agglomeration delimitation based on mobile operator data. Reg. Issled., 2019, no. 2, pp. 48–57. (In Russ.). https://doi.org/10.5922/1994-5280-2019-2-5
  26. Makhrova A.G., Kirillov P.L., Bochkarev A.N. Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data. Reg. Res. Russ., 2017, vol. 7, pp. 36–44. https://doi.org/10.1134/S2079970517010051
  27. Makhrova A.G., Nefedova T.G., Treivish A.I. Moskovskaya oblast’ segodnya i zavtra: tendentsii i perspectivy prostranstvennogo razvitiya [Moscow Region Today and Tomorrow: Trends and Prospects of Spatial Development]. Moscow: Novyi Khronograph Publ., 2008. 344 p.
  28. Makhrova A.G., Nefedova T.G., Treivish A. Moscow oblast: Territorial structure of post-Soviet transformations. Reg. Res. Russ., 2023, vol. 13, pp. S25–S39. https://doi.org/10.1134/S207997052360021X
  29. Makhrova A.G., Pertsik Y.N. Second-order agglomerations of the Moscow metropolitan region (typological analysis). Vestn. Mosk. Univ. Ser. 5: Geogr., 1988, no. 6, pp. 3–9. (In Russ.).
  30. Makhrova A.G., Trifonov A.A. Some features of the development of urbanization processes in the Moscow region. Russ. Gorod, 1990, no. 9, pp. 40–74. (In Russ.).
  31. Miasnikof P., Shestopaloff A.Y., Raigorodskii A. Statistical power, accuracy, reproducibility and robustness of a graph clusterability test. Int. J. Data Sci. Anal., 2023, no. 15, pp. 379–390. https://doi.org/10.1007/s41060-023-00389-6
  32. Mints A.A. Podmoskov’e [Moscow Region]. Moscow: Geogr. Liter. Publ., 1961. 303 p.
  33. Mkrtchyan N.V. The role of the Moscow metropolitan region as the largest center of internal Russian migration. Nauch. Tr. Inst. Narodnokhoz. Prognoz. RAN, 2019, vol. 17, pp. 252–268. (In Russ.).
  34. Moskovskii stolichnyi region: territorial’naya struktura i prirodnaya sreda. Opyt geograficheskogo issledovaniya [Moscow Capital Region: Territorial Structure and the Natural Environment. Experience Geographical Research]. Lappo G.M., Gol’ts G.A., Treivish A.I., Eds. Moscow: Nauka Publ., 1988.
  35. Nezhdanov V.A. Development of the Obninsk agglomeration of the second order in the process of spatial diffusion of innovations. Nauch. Rezul’tat. Sotsiol. Upravl., 2024, vol. 10, no. 2, pp. 69–80. (In Russ.). https://doi.org/10.18413/2408-9338-2024-10-2-0-6
  36. Nefedova T.G. Agriculture and countryside of the Moscow region before and after New Moscow. Reg. Issled., 2017, no. 4, pp. 71–80. (In Russ.).
  37. Ostroumova L.P., Pralat P., Raigorodskii A. Modularity of complex networks models. Internet Math., 2017, pp. 1–23. https://doi.org/10.24166/im.12.2017
  38. Pertsik E.N., Makhrova A.G. Second-order agglomerations in the Moscow metropolitan area: development, borders, and relationships. In Voprosy geografii. Vyp. 131 [Problems of Geography. Vol. 131]. Moscow: Mysl’ Publ., 1988, pp. 56–63. (In Russ.).
  39. Saushkin Yu.G., Glushkova V.G. Moskva sredi gorodov mira. Ekonomiko-geograficheskoe issledovanie [Moscow Among the Cities of the World. Economic and Geographical Study]. Moscow: Mysl’ Publ., 1983. 285 p.
  40. Simagin Yu.A. Sovremennyi etap suburbanizatsii v Moskovskom stolichnom regione [Current Stage of Suburbanization in the Moscow Capital Region]. Moscow: Issled. Tsentr “Geovector”, 1997. 96 p.
  41. Smirnyagin L.V. Agglomeration: pros and cons. Gorodsk. Al’manakh, 2008, vol. 3, pp. 152–168. (In Russ.).
  42. Shitova Yu.Yu. Mayatnikovaya trudovaya migratsiya v Podmoskov’e: kompleksnyi sotsial’no-ekonomicheskii analiz [Pendulum Labor Migration in the Moscow Region: A Comprehensive Socio-economic Analysis]. Saransk: Izd-vo Mordov. Gos. Univ., 2009. 185 p.
  43. Traag V.A., Waltman L., van Eck N.J. From Louvain to Leiden: guaranteeing well-connected communities. Sci. Rep., 2019, no. 9, pp. 1–12. https://doi.org/10.1038/s41598-019-41695-z
  44. Voprosy geografii. Vyp. 131 [Problems of Geography. Vol. 131]. Moscow: Mysl’ Publ., 1988. 221 p.
  45. Zayonchkovskaya Zh.A., Ioffe G.V. Dynamics of settlement in the Moscow region as a reflection of post-Soviet transformations. In Voprosy geografii. Vyp. 135 [Problems of Geography. Vol. 135]. Moscow: Mysl’ Publ., 2013, pp. 188–223. (In Russ.).

Supplementary files

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2. Fig. 1. Changes in the general appearance of the graphs of the “home–work” network for the Moscow region at different lower flow boundaries (excluding the influence of Moscow). Built by the authors based on data from mobile operators.

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3. Fig. 2. The results of clustering an artificial network with different input values of the resolution parameter. Built by the authors on the basis of simulated data.

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4. Fig. 3. Clusterization of the settlement network of the Moscow region with Moscow (left) and without Moscow (right). Built by the authors based on data from mobile operators.

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5. 4. Second-order agglomerations in the Moscow region, 2023 Compiled on the basis of the authors' calculations.

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