Multilevel comparison of large urban systems

For the first time the systems of cities in seven countries or regions among the largest in the world (China, India, Brazil, Europe, the Former Soviet Union (FSU), the United States and South Africa) are made comparable through the building of spatio-temporal standardised statistical databases. We f...

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Autores principales:	Denise Pumain, Elfie Swerts, Clémentine Cottineau, Céline Vacchiani-Marcuzzo, Cosmo Antonio Ignazzi, Anne Bretagnolle, François Delisle, Robin Cura, Liliane Lizzi, Solène Baffi
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 2015
Materias:	urban system Zipf’s law Gibrat cities trajectories BRICS Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/a81aeb0d101d43e1a764b28d7066321e
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id	oai:doaj.org-article:a81aeb0d101d43e1a764b28d7066321e
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spelling	oai:doaj.org-article:a81aeb0d101d43e1a764b28d7066321e2021-12-02T11:14:27ZMultilevel comparison of large urban systems1278-336610.4000/cybergeo.26730https://doaj.org/article/a81aeb0d101d43e1a764b28d7066321e2015-01-01T00:00:00Zhttp://journals.openedition.org/cybergeo/26730https://doaj.org/toc/1278-3366For the first time the systems of cities in seven countries or regions among the largest in the world (China, India, Brazil, Europe, the Former Soviet Union (FSU), the United States and South Africa) are made comparable through the building of spatio-temporal standardised statistical databases. We first explain the concept of a generic evolutionary urban unit (“city”) and its necessary adaptations to the information provided by each national statistical system. Second, the hierarchical structure and the urban growth process are compared at macro-scale for the seven countries with reference to Zipf’s and Gibrat’s model: in agreement with an evolutionary theory of urban systems, large similarities shape the hierarchical structure and growth processes in BRICS countries as well as in Europe and United States, despite their positions at different stages in the urban transition that explain some structural peculiarities. Third, the individual trajectories of some 10,000 cities are mapped at micro-scale following a cluster analysis of their evolution over the last fifty years. A few common principles extracted from the evolutionary theory of urban systems can explain the diversity of these trajectories, including a specific pattern in their geographical repartition in the Chinese case. We conclude that the observations at macro-level when summarized as stylised facts can help in designing simulation models of urban systems whereas the urban trajectories identified at micro-level are consistent enough for constituting the basis of plausible future population projections.Denise PumainElfie SwertsClémentine CottineauCéline Vacchiani-MarcuzzoCosmo Antonio IgnazziAnne BretagnolleFrançois DelisleRobin CuraLiliane LizziSolène BaffiUnité Mixte de Recherche 8504 Géographie-citésarticleurban systemZipf’s lawGibratcities trajectoriesBRICSGeography (General)G1-922DEENFRITPTCybergeo (2015)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	urban system Zipf’s law Gibrat cities trajectories BRICS Geography (General) G1-922
spellingShingle	urban system Zipf’s law Gibrat cities trajectories BRICS Geography (General) G1-922 Denise Pumain Elfie Swerts Clémentine Cottineau Céline Vacchiani-Marcuzzo Cosmo Antonio Ignazzi Anne Bretagnolle François Delisle Robin Cura Liliane Lizzi Solène Baffi Multilevel comparison of large urban systems
description	For the first time the systems of cities in seven countries or regions among the largest in the world (China, India, Brazil, Europe, the Former Soviet Union (FSU), the United States and South Africa) are made comparable through the building of spatio-temporal standardised statistical databases. We first explain the concept of a generic evolutionary urban unit (“city”) and its necessary adaptations to the information provided by each national statistical system. Second, the hierarchical structure and the urban growth process are compared at macro-scale for the seven countries with reference to Zipf’s and Gibrat’s model: in agreement with an evolutionary theory of urban systems, large similarities shape the hierarchical structure and growth processes in BRICS countries as well as in Europe and United States, despite their positions at different stages in the urban transition that explain some structural peculiarities. Third, the individual trajectories of some 10,000 cities are mapped at micro-scale following a cluster analysis of their evolution over the last fifty years. A few common principles extracted from the evolutionary theory of urban systems can explain the diversity of these trajectories, including a specific pattern in their geographical repartition in the Chinese case. We conclude that the observations at macro-level when summarized as stylised facts can help in designing simulation models of urban systems whereas the urban trajectories identified at micro-level are consistent enough for constituting the basis of plausible future population projections.
format	article
author	Denise Pumain Elfie Swerts Clémentine Cottineau Céline Vacchiani-Marcuzzo Cosmo Antonio Ignazzi Anne Bretagnolle François Delisle Robin Cura Liliane Lizzi Solène Baffi
author_facet	Denise Pumain Elfie Swerts Clémentine Cottineau Céline Vacchiani-Marcuzzo Cosmo Antonio Ignazzi Anne Bretagnolle François Delisle Robin Cura Liliane Lizzi Solène Baffi
author_sort	Denise Pumain
title	Multilevel comparison of large urban systems
title_short	Multilevel comparison of large urban systems
title_full	Multilevel comparison of large urban systems
title_fullStr	Multilevel comparison of large urban systems
title_full_unstemmed	Multilevel comparison of large urban systems
title_sort	multilevel comparison of large urban systems
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	2015
url	https://doaj.org/article/a81aeb0d101d43e1a764b28d7066321e
work_keys_str_mv	AT denisepumain multilevelcomparisonoflargeurbansystems AT elfieswerts multilevelcomparisonoflargeurbansystems AT clementinecottineau multilevelcomparisonoflargeurbansystems AT celinevacchianimarcuzzo multilevelcomparisonoflargeurbansystems AT cosmoantonioignazzi multilevelcomparisonoflargeurbansystems AT annebretagnolle multilevelcomparisonoflargeurbansystems AT francoisdelisle multilevelcomparisonoflargeurbansystems AT robincura multilevelcomparisonoflargeurbansystems AT lilianelizzi multilevelcomparisonoflargeurbansystems AT solenebaffi multilevelcomparisonoflargeurbansystems
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Multilevel comparison of large urban systems

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