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Modern Methods for Studying the Spatial Structure of Urban Agglomerations (a Case Study of the St. Petersburg Urban Agglomeration). / Лачининский, Станислав Сергеевич; Сорокин, Иван Сергеевич; Логвинов, Илья Александрович.

In: Regional Research of Russia, Vol. 14, No. 2, 01.06.2024, p. 170-180.

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@article{c53302b79f774773848f1a55c6e53dc8,
title = "Modern Methods for Studying the Spatial Structure of Urban Agglomerations (a Case Study of the St. Petersburg Urban Agglomeration)",
abstract = "The article reviews and substantiates research methods and data sources on the dynamics of the spatial structure of the largest urban agglomerations in Russia. The object of the study is modern methods for studying urban agglomerations based on new data sources. A case study of the number two urban agglomeration in Russia—St. Petersburg urban agglomeration—shows that interdisciplinary synthesis of socioeconomic geography, regional economics, urban studies, geoinformatics and cartography, land management,and variety of data sources (mobile network operators{\textquoteright} data, tax statistics, housing construction, satellite observations, retail chain activity, and road networks), as well as modern GIS equipment, make it possible to evaluate this structure, its changes, and fluctuations. The main objective of the study is to critically rethinkthe methods of studying the spatial structure of one of the largest urban agglomerations in Russia that developedin the turbulent period between 2014 and 2022. Using a deductive approach, the authors inventoried theavailable methods for studying urban agglomerations and traditional data sources and obtained updatedmethods and new sources. Next, the advantages and disadvantages of each group of methods are identified.Using bibliographic analysis, the authors identified the limitations and possibilities for empirical content(availability of specific data sources). Based on their own critical analysis, the authors offer a final expertassessment of the applicability and usefulness of the methods specifically for the St. Petersburg urban agglomeration.The authors{\textquoteright} contribution lies in the adaptation of modern groups of methods for studying the spatialstructure of cities to study the considered urban agglomeration, taking into account the local specifics. It isexpected that development of a modern methodology for studying the spatial structure of the St. Petersburgurban agglomeration, based on a symbiosis of modern methods and data sources, will contribute to studyingRussia{\textquoteright}s largest urban agglomerations",
keywords = "urban agglomeration, spatial structure, dynamics of spatial structure, methods, data sources, data sources, dynamics of spatial structure, methods, spatial structure, urban agglomeration",
author = "Лачининский, {Станислав Сергеевич} and Сорокин, {Иван Сергеевич} and Логвинов, {Илья Александрович}",
year = "2024",
month = jun,
day = "1",
doi = "10.1134/s2079970524600100",
language = "English",
volume = "14",
pages = "170--180",
journal = "Regional Research of Russia",
issn = "2079-9705",
publisher = "Springer Nature",
number = "2",

}

RIS

TY - JOUR

T1 - Modern Methods for Studying the Spatial Structure of Urban Agglomerations (a Case Study of the St. Petersburg Urban Agglomeration)

AU - Лачининский, Станислав Сергеевич

AU - Сорокин, Иван Сергеевич

AU - Логвинов, Илья Александрович

PY - 2024/6/1

Y1 - 2024/6/1

N2 - The article reviews and substantiates research methods and data sources on the dynamics of the spatial structure of the largest urban agglomerations in Russia. The object of the study is modern methods for studying urban agglomerations based on new data sources. A case study of the number two urban agglomeration in Russia—St. Petersburg urban agglomeration—shows that interdisciplinary synthesis of socioeconomic geography, regional economics, urban studies, geoinformatics and cartography, land management,and variety of data sources (mobile network operators’ data, tax statistics, housing construction, satellite observations, retail chain activity, and road networks), as well as modern GIS equipment, make it possible to evaluate this structure, its changes, and fluctuations. The main objective of the study is to critically rethinkthe methods of studying the spatial structure of one of the largest urban agglomerations in Russia that developedin the turbulent period between 2014 and 2022. Using a deductive approach, the authors inventoried theavailable methods for studying urban agglomerations and traditional data sources and obtained updatedmethods and new sources. Next, the advantages and disadvantages of each group of methods are identified.Using bibliographic analysis, the authors identified the limitations and possibilities for empirical content(availability of specific data sources). Based on their own critical analysis, the authors offer a final expertassessment of the applicability and usefulness of the methods specifically for the St. Petersburg urban agglomeration.The authors’ contribution lies in the adaptation of modern groups of methods for studying the spatialstructure of cities to study the considered urban agglomeration, taking into account the local specifics. It isexpected that development of a modern methodology for studying the spatial structure of the St. Petersburgurban agglomeration, based on a symbiosis of modern methods and data sources, will contribute to studyingRussia’s largest urban agglomerations

AB - The article reviews and substantiates research methods and data sources on the dynamics of the spatial structure of the largest urban agglomerations in Russia. The object of the study is modern methods for studying urban agglomerations based on new data sources. A case study of the number two urban agglomeration in Russia—St. Petersburg urban agglomeration—shows that interdisciplinary synthesis of socioeconomic geography, regional economics, urban studies, geoinformatics and cartography, land management,and variety of data sources (mobile network operators’ data, tax statistics, housing construction, satellite observations, retail chain activity, and road networks), as well as modern GIS equipment, make it possible to evaluate this structure, its changes, and fluctuations. The main objective of the study is to critically rethinkthe methods of studying the spatial structure of one of the largest urban agglomerations in Russia that developedin the turbulent period between 2014 and 2022. Using a deductive approach, the authors inventoried theavailable methods for studying urban agglomerations and traditional data sources and obtained updatedmethods and new sources. Next, the advantages and disadvantages of each group of methods are identified.Using bibliographic analysis, the authors identified the limitations and possibilities for empirical content(availability of specific data sources). Based on their own critical analysis, the authors offer a final expertassessment of the applicability and usefulness of the methods specifically for the St. Petersburg urban agglomeration.The authors’ contribution lies in the adaptation of modern groups of methods for studying the spatialstructure of cities to study the considered urban agglomeration, taking into account the local specifics. It isexpected that development of a modern methodology for studying the spatial structure of the St. Petersburgurban agglomeration, based on a symbiosis of modern methods and data sources, will contribute to studyingRussia’s largest urban agglomerations

KW - urban agglomeration, spatial structure, dynamics of spatial structure, methods, data sources

KW - data sources

KW - dynamics of spatial structure

KW - methods

KW - spatial structure

KW - urban agglomeration

UR - https://www.mendeley.com/catalogue/e9dc5ef5-9ff5-310c-af67-f664e6c5060e/

U2 - 10.1134/s2079970524600100

DO - 10.1134/s2079970524600100

M3 - Article

VL - 14

SP - 170

EP - 180

JO - Regional Research of Russia

JF - Regional Research of Russia

SN - 2079-9705

IS - 2

ER -

ID: 118580824