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

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 reac...

Full description

Saved in:
Bibliographic Details
Published inRegional research of Russia Vol. 12; no. 2; pp. 227 - 240
Main Author Saveleva, E. O.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 2022
Springer Nature B.V
Subjects
Cities
Developed countries
Economics
Economics and Finance
Multivariate analysis
Quantitative analysis
Regional/Spatial Science
Slavic studies
Urban areas
Urban structures
Urban Studies
Russia
typology
means clustering
Russian cities
quantitative analysis
urban structure
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:2079-9705
2079-9713
DOI:10.1134/S2079970522020216