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From theory to modelling : urban systems as complex systems

Identifieur interne : 000139 ( Hal/Corpus ); précédent : 000138; suivant : 000140

From theory to modelling : urban systems as complex systems

Auteurs : Anne Bretagnolle ; Eric Daudé ; Denise Pumain

Source :

RBID : Hal:halshs-00156778

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English descriptors

Abstract

The question of complexity and its increasing application to social sciences is challenging the modelling of spatial systems. New concepts and new methods have been proposed and invite to reformulate classical modelling frames. This approach is demanding to open a better informed dialogue between the disciplines which supply models and tools and those where the existing knowledge is reformulated inside this new frame. Actually, creating an « artificial geography » is not straightforward. It is rather easy to translate urban theories within the paradigm of complex systems, but their modelling, for instance by using multi-agents systems, still raises many conceptual and practical difficulties. We underline here some problems in defining significant urban entities and exploring the evolution of their spatial relationships over time. We briefly present which options have been selected for developing the SIMPOP2 model which is conceived for simulating the evolution of systems of cities over long periods of time.

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Hal:halshs-00156778

Le document en format XML

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<idno type="ORCID">http://orcid.org/0000-0001-8656-3346</idno>
<affiliation ref="#struct-1735"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Denise</forename>
<surname>Pumain</surname>
</persName>
<email>pumain@parisgeo.cnrs.fr</email>
<idno type="halAuthorId">305</idno>
<affiliation ref="#struct-43649"></affiliation>
</author>
</analytic>
<monogr>
<idno type="halJournalId" status="VALID">612</idno>
<idno type="issn">1278-3366</idno>
<title level="j">Cybergeo : Revue européenne de géographie / European journal of geography</title>
<imprint>
<publisher>UMR 8504 Géographie-cités</publisher>
<biblScope unit="issue">335</biblScope>
<biblScope unit="pp">1-17</biblScope>
<date type="datePub">2006</date>
</imprint>
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<langUsage>
<language ident="en">English</language>
</langUsage>
<textClass>
<keywords scheme="author">
<term xml:lang="en">complexity</term>
<term xml:lang="en">emerging structures</term>
<term xml:lang="en">self-organisation</term>
<term xml:lang="en">urban systems</term>
<term xml:lang="en">space-time convergence</term>
<term xml:lang="en">multi-agents systems</term>
<term xml:lang="fr">complexité</term>
<term xml:lang="fr">structures émergentes</term>
<term xml:lang="fr">auto-organisation</term>
<term xml:lang="fr">systèmes urbains</term>
<term xml:lang="fr">convergence espace-temps</term>
<term xml:lang="fr">systèmes multi-agents</term>
</keywords>
<classCode scheme="halDomain" n="shs.geo">Humanities and Social Sciences/Geography</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
</textClass>
<abstract xml:lang="en">The question of complexity and its increasing application to social sciences is challenging the modelling of spatial systems. New concepts and new methods have been proposed and invite to reformulate classical modelling frames. This approach is demanding to open a better informed dialogue between the disciplines which supply models and tools and those where the existing knowledge is reformulated inside this new frame. Actually, creating an « artificial geography » is not straightforward. It is rather easy to translate urban theories within the paradigm of complex systems, but their modelling, for instance by using multi-agents systems, still raises many conceptual and practical difficulties. We underline here some problems in defining significant urban entities and exploring the evolution of their spatial relationships over time. We briefly present which options have been selected for developing the SIMPOP2 model which is conceived for simulating the evolution of systems of cities over long periods of time.</abstract>
<abstract xml:lang="fr">La modélisation des systèmes spatiaux se confronte aux théories de la complexité et à leurs applications en sciences sociales. De nouveaux concepts et de nouvelles méthodes sont proposés, qui invitent à reformuler les modèles classiques. Cette démarche suppose d'ouvrir un dialogue mieux informé entre les disciplines qui offrent les modèles et les outils et celles qui tentent de reformuler leurs connaissances dans ce nouveau cadre. En effet, la création d'une « géographie artificielle » ne va pas de soi. S'il est relativement aisé de traduire les théories urbaines en termes de systèmes complexes, leur modélisation, par exemple au moyen de systèmes multi-agents, soulève encore de nombreuses difficultés conceptuelles et pratiques. Nous insistons notamment sur la définition des entités urbaines et sur les variations de leurs relations dans l'espace au cours du temps. Nous présentons enfin rapidement les principales options retenues pour le modèle SIMPOP2 conçu pour simuler le devenir des systèmes de villes dans la longue durée.</abstract>
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