No full text
Contribution to collective works (Parts of books)
Morphological similarities between DBM and an economic geography model of city growth
Cavailhès, Jean; Frankhauser, Pierre; Caruso, Geoffrey et al.
2009In Zhou, Jie (Ed.) Complex Sciences
Peer reviewed
 

Files


Full Text
No document available.

Send to



Details



Abstract :
[en] An urban microeconomic model of households evolving in a 2D cellular automata allows to simulate the growth of a metropolitan area where land is devoted to housing, road network and agricultural/green areas. This system is self-organised: based on individualistic decisions of economic agents who compete on the land market, the model generates a metropolitan area with houses, roads, and agriculture. Several simulation are performed. The results show strong similarities with physical Dieletric breakdown models (DBM). In particular, phase transitions in the urban morphology occur when a control parameter reaches critical values. Population density in our model and the electric potential in DBM play similar roles, which can explain these resemblances.
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Human geography & demography
Identifiers :
UNILU:UL-CHAPTER-2009-348
Author, co-author :
Cavailhès, Jean;  INRA, Dijon, France
Frankhauser, Pierre;  Université de Franche-Comté, Besançon, France
Caruso, Geoffrey  ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE)
Peeters, Dominique;  Université catholique de Louvain, Belgium
Thomas, Isabelle;  Université catholique de Louvain, Belgium
Vuidel, Gilles;  Université de Franche-Comté, Besançon, France
Language :
English
Title :
Morphological similarities between DBM and an economic geography model of city growth
Publication date :
2009
Main work title :
Complex Sciences
Editor :
Zhou, Jie
Publisher :
Springer
ISBN/EAN :
9783642024665
Collection name :
Lecture notes of the International Institute for Computer Sciences, Social Informatics and Telecommunications
Pages :
417-428
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 07 November 2013

Statistics


Number of views
107 (1 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBilu