Polycentrisme urbain : une réalité spatialement mesurable ?

It has already widely been shown that the extension of the urban space takes a polycentric shape: suburban employment sub-centres emerge. The objective in this study is to measure employment concentrations inside and around urban agglomerations and to determine operational tools (methods and data) t...

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Main Authors: Marc Servais, Isabelle Thomas, Haike Van Dyck, Ann Verhetsel
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 2004-04-01
Series:Cybergeo
Subjects:
Online Access:http://journals.openedition.org/cybergeo/3669
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spelling doaj-867d967848e64e52845543262e18c8842020-11-25T01:30:55ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662004-04-0110.4000/cybergeo.3669Polycentrisme urbain : une réalité spatialement mesurable ?Marc ServaisIsabelle ThomasHaike Van DyckAnn VerhetselIt has already widely been shown that the extension of the urban space takes a polycentric shape: suburban employment sub-centres emerge. The objective in this study is to measure employment concentrations inside and around urban agglomerations and to determine operational tools (methods and data) that lead to the highlighting of these sub-centers. Advantages and limits of the methods are discussed. Our cases studies are Antwerp and Brussels. The results obtained by several methodologies are compared (shift and share analysis, cluster analysis, kernel interpolation and local autocorrelation) for three different types of employment data (social security, population census and regional development statistics) and at three different scales of analysis (individual postal address, neighbourhood and commune). The main difficulties encountered are: (1) the spatial and temporal heterogeneity of the data, and (2) the non-uniqueness of the methodology for discriminating sub-centers. Our conclusion is that there is an emerging polycentric structure in Brussels and Antwerp, but sub-centers are still difficult to put forward. The combination of several different methods and databases is necessary to get insight in the polycentric structure.http://journals.openedition.org/cybergeo/3669autocorrelationpolycentricityinterpolationshift-share analysisemployment
collection DOAJ
language deu
format Article
sources DOAJ
author Marc Servais
Isabelle Thomas
Haike Van Dyck
Ann Verhetsel
spellingShingle Marc Servais
Isabelle Thomas
Haike Van Dyck
Ann Verhetsel
Polycentrisme urbain : une réalité spatialement mesurable ?
Cybergeo
autocorrelation
polycentricity
interpolation
shift-share analysis
employment
author_facet Marc Servais
Isabelle Thomas
Haike Van Dyck
Ann Verhetsel
author_sort Marc Servais
title Polycentrisme urbain : une réalité spatialement mesurable ?
title_short Polycentrisme urbain : une réalité spatialement mesurable ?
title_full Polycentrisme urbain : une réalité spatialement mesurable ?
title_fullStr Polycentrisme urbain : une réalité spatialement mesurable ?
title_full_unstemmed Polycentrisme urbain : une réalité spatialement mesurable ?
title_sort polycentrisme urbain : une réalité spatialement mesurable ?
publisher Unité Mixte de Recherche 8504 Géographie-cités
series Cybergeo
issn 1278-3366
publishDate 2004-04-01
description It has already widely been shown that the extension of the urban space takes a polycentric shape: suburban employment sub-centres emerge. The objective in this study is to measure employment concentrations inside and around urban agglomerations and to determine operational tools (methods and data) that lead to the highlighting of these sub-centers. Advantages and limits of the methods are discussed. Our cases studies are Antwerp and Brussels. The results obtained by several methodologies are compared (shift and share analysis, cluster analysis, kernel interpolation and local autocorrelation) for three different types of employment data (social security, population census and regional development statistics) and at three different scales of analysis (individual postal address, neighbourhood and commune). The main difficulties encountered are: (1) the spatial and temporal heterogeneity of the data, and (2) the non-uniqueness of the methodology for discriminating sub-centers. Our conclusion is that there is an emerging polycentric structure in Brussels and Antwerp, but sub-centers are still difficult to put forward. The combination of several different methods and databases is necessary to get insight in the polycentric structure.
topic autocorrelation
polycentricity
interpolation
shift-share analysis
employment
url http://journals.openedition.org/cybergeo/3669
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AT isabellethomas polycentrismeurbainunerealitespatialementmesurable
AT haikevandyck polycentrismeurbainunerealitespatialementmesurable
AT annverhetsel polycentrismeurbainunerealitespatialementmesurable
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