The Possibility of Using Modern Methods and Data to Study the Spatial Structure of the St.-Petersburg Agglomeration

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Abstract

—The article is devoted to the review and substantiation of modern research methods and data sources on the dynamics of spatial structure of the largest Russian urban agglomerations. The object of the study is modern methods and data sources, and the subject is the possibilities of their use. On the example of the second agglomeration in Russia – St.‑Petersburg urban agglomeration – it is shown that interdisciplinary synthesis within the framework of socio-economic geography, regional economics, urban studies, geoinformatics and cartography, land management, using a variety of data sources (data of cellular operators, tax statistics, housing construction, satellite data, retail chains, road network), as well as the use of modern GIS-complexes, allow us to assess this structure, its changes, as well as to analyze the spatial structure of the largest Russian urban agglomerations. The main objective of this study is to review and critically rethink the methods of studying the spatial structure of one of Russia’s largest urban agglomerations (St.-Petersburg) developing in the turbulent period between 2014 and 2022. An inventory of different methods and data sources was made, using the method of reasoning. Further, the advantages and disadvantages of each group of methods were identified. Through an in-depth bibliographic analysis, the limitations and possibilities of empirical content (availability of specific data sources) were identified. Based on the critical analysis of advantages and disadvantages, a final point estimate of applicability and usefulness of the considered methods for the St. Petersburg urban agglomeration is obtained. The author’s contribution lies in the adaptation of modern groups of methods for the study of the spatial structure of cities for the study of the considered agglomeration, taking into account the local specificity and assessment of applicability and usefulness of the considered methods for St. Petersburg urban agglomeration. It is assumed that the development of a modern methodology for studying the spatial structure of the St. Petersburg urban agglomeration based on the symbiosis of modern methods and data sources will make a certain contribution to the study of the largest Russian agglomerations.

About the authors

S. S. Lachininskii

St.-Petersburg State University, Institute of Regional Economy Problems, Russian Academy of Sciences

Author for correspondence.
Email: lachininsky@gmail.com
Russia, St.-Petersburg

I. A. Logvinov

Institute of Territorial Planning “Urbanika”, St.-Petersburg State University

Author for correspondence.
Email: ilia.logwinov@yandex.ru
Russia, St.-Petersburg

I. S. Sorokin

Institute of Regional Economy Problems of RAS, St.-Petersburg State University

Author for correspondence.
Email: IvannSPb@yandex.ru
Russia, St.-Petersburg

References

  1. Babkin R.A. Experience of using data of cellular operators in foreign economic and geographical studies // Vestnik of St. Petersburg University. Earth Sciences. 2021. Т. 66. № 3. С. 416–439.
  2. Babkin R.A. Dynamics of the Moscow region settlement according to the data of cellular operators. Diss. Uch. st. k-ta geograf. nauk, Moscow: MSU. 2020. URL://istina.msu.ru/dissertations/333129487/.
  3. Baryshkin P.A., Alekseenko N.A. Studying the structure of the housing stock of the miners' monotowns with the help of cartographic method (by the example of Kimovsk and Kirovsk) / BBK 26.1 N34. 2022. С. 3.
  4. St. Petersburg authorities will collect the data of SIM cards of residents and guests of the city [Electronic resource] URL: https://www.rbc.ru/spb_sz/05/10/2021/615c1d8d9a79475c9ac44ce4 (date of address 18.07.2022).
  5. Interfax LAB expands academic interaction with universities [Electronic resource] URL: https://spark-interfax.ru/articles/interfax-lab-rashiryaet-sotrudnichestvo-s-universitetami/ (date of address 20.05.2022).
  6. Kazakov E. Ten approaches to visualization of point data density in QGIS 3 [Electronic resource]. URL: http://spbgeotex.ru/6_urban (accessed 18.12.2022).
  7. How new buildings of St. Petersburg changed: from the 40s to the present day [Electronic resource] URL: https://www.fontanka.ru/2018/05/18/066/ (date of address 20.05.2022).
  8. Kelbakh V.S. Transport infrastructure as an element of urban agglomeration // Vestnik SPbSU. Ser. 7. 2013. Vyp. 2. С. 135–144.
  9. Krasnov A.I., Logvinov I.A. Summer population of the Pskov Oblast: qualitative and quantitative assessment // Pskov Regionology Journal. 2022. Т. 18. № 1. С. 117–129.
  10. Kukina I.V. et al. Features of transformation of the environment of the modern city (on the example of Krasnoyarsk) // Bulletin of Tomsk State University. Cultural studies and art history. 2021. № 43. С. 55–74.
  11. Kurichev N.K., Kuricheva E.K. Spatial structure of housing construction in the Moscow agglomeration: radial-sectoral differentiation // Vestnik of St. Petersburg University. Earth Sciences. 2020. Т. 65. № 1. С. 74–95.
  12. Kuricheva E.K. Housing construction in Moscow agglomeration: spatial implications // Vestnik of Moscow University. Series 5. Geography. 2017. № 3. С. 87–90.
  13. Makhrova A.G. Seasonal dacha settlement as an indicator of contrasts in spatial development // Regional Studies. 2020. № 3. С. 40–55.
  14. Makhrova A.G., Babkin R.A., Kirillov P.L. Transformation of dacha housing: from seasonal to permanent (on the example of the Moscow region) // Problems of modern urbanization: continuity and innovation. 2022. С. 112–125.
  15. Makhrova A.G., Babkin R.A. Methodological approaches to delimit the boundaries of the Moscow agglomeration based on the data of cellular operators // Regional Studies. 2019. № 2. С. 48–57.
  16. Makhrova A.G., Babkin R.A. Cities of the Moscow Metropolitan Region: official and real // Regional Studies. 2022. № 1. С. 4–16.
  17. Lappo G.M. Geography of cities: textbook for geographical faculties of universities // Moscow: Humanit. izd. center “VLADOS”, 1997. 479 c.
  18. Lachininskii S.S., Sorokin I.С. Spatial structure and features of development of settlements of St. Petersburg agglomeration // Baltic region. 2021. Т. 13. № 1. С. 48–69.
  19. Pertsik E.N. Large urban agglomerations: development, design problems // Problems of agglomerations development in Russia. M.: KRASAND, 2009. С. 34–46.
  20. Sprawl planning. Spatial policy of Russian cities / A.V. Golovin et al. National Research University “Higher School of Economics”. Moscow: Izd. dom Higher School of Economics, 2021. 248 с.
  21. Draft Federal Law “On Urban Agglomerations” (prepared by the Ministry of Economic Development of Russia, text as of 04.09.2020). [Electronic resource] URL: https://www.consultant.ru/cons/cgi/online.cgi?req=doc&base=PRJ&n=199079#ZgZo7RTWOz7suerC2.
  22. Putin Vladimir signed the law changing the order of interbudget transfers [Electronic resource] URL://tass.ru/ekonomika/6729513 (date of circulation 18.07.2022).
  23. Reform of the housing and utilities sector, open data [Electronic resource] URL: https://www.reformagkh.ru/opendata (date of address 18.07.2022).
  24. Rosstat will open access to microdata of post-Soviet censuses of the population of Russia in 2022 [Electronic resource]. URL: https://tass.ru/obschestvo/12876949 (date of address 18.07.2022).
  25. Strategy of spatial development of the Russian Federation for the period up to 2025. Approved by the Order of the Government of the Russian Federation from February 13, 2019 № 207-r. [Electronic resource] URL: www.economy.gov.ru.
  26. Construction norms and rules SNiP 2.07.01-89* “Urban Planning. Planning and building of urban and rural settlements” (approved by the decree of the USSR Gosstroy from May 16, 1989 № 78).
  27. Chistyakov P.A. et al. Centers of economic growth of the Russian Federation at the municipal level // Bulletin of Moscow University. Series 5: Geography. 2020. № 4. С. 58–68.
  28. 2GIS pro: visualizing data arrays [Electronic resource] URL: https://vc.ru/services/557545-2gis-pro-vizualiziruem-massivy-dannyh (date of address 26.12.2022).
  29. Federal State Statistics Service [Electronic resource]. URL: www.gks.ru (date of address 18.07.2022).
  30. Shugrina E.S. Models of management of Russian agglomerations // State power and local self-government. 2018. № 2. С. 39–43.
  31. Atlas of the Human Planet 2020, Open geoinformation for research, policy, and action, Luxembourg: European Commission, 2020. 139 p.
  32. Carra G., Barthelemy M. A fundamental diagram of urbanization // Environment and Planning B: Urban Analytics and City Science. 2019. Т. 46. № 4. P. 690–706.
  33. Conzen M.R.G. Thinking about Urban Form: Essays on Urban Morphology / M. R. G. Conzen. Oxford, 2002.
  34. Hegyi F.B. et al. Measuring the impact of urban innovation districts //Publications Office of the European Union. 2021.
  35. Li J. et al. Spatiotemporal pattern of urbanization in Shanghai, China between 1989 and 2005 // Landscape ecology. 2013. Т. 28. № 8. P. 1545–1565.
  36. Li X. et al. Twenty years of post-Soviet Union urban land use change of St. Petersburg // Applied Spatial Analysis and Policy. 2020. Т. 13. № 4. С. 1019–1033.
  37. Perez J., Fusco G., Moriconi-Ebrard F. Identification and quantification of urban space in India: Defining urban macro-structures // Urban Studies. 2019. Т. 56. № 10. С. 1988–2004.
  38. Petrov A. One hundred years of dasymetric mapping: back to the origin // The Cartographic Journal. 2012. Т. 49. № 3. С. 256–264.
  39. Pirowski T., Bartos K. Detailed mapping of the distribution of a city population based on information from the national database on buildings // Geodetski vestnik. 2018. Т. 62. № 3.
  40. Roni R. High resolution population modeling for urban areas: дис. University of Twente, 2018.
  41. Schiavina M. et al. GHSL Data Package 2022, Publications Office of the European Union, Luxembourg.
  42. Science Direct: Modifiable Areal Unit Problem [Электронный ресурс] – URL: www.sciencedirect.com/topics/earth-and-planetary-sciences/modifiable-areal-unit-problem (дата обращения 20.05.2022).
  43. World Cities Report 2022: Envisaging the Future of Cities UN Habitat [Электронный ресурс]. URL: https://unhabitat.org/wcr/ (дата обращения 18.12.2022).
  44. Zhou D. et al. Dynamic and drivers of spatial change in rapid urban renewal within Beijing inner city // Habitat International. 2021. Т. 111. С. 102349.

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Copyright (c) 2023 С.С. Лачининский, И.А. Логвинов, И.С. Сорокин