Serveur d'exploration autour du libre accès en Belgique

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Morphological similarities between DBM and a microeconomic model of sprawl

Identifieur interne : 000047 ( PascalFrancis/Corpus ); précédent : 000046; suivant : 000048

Morphological similarities between DBM and a microeconomic model of sprawl

Auteurs : Geoffrey Caruso ; Gilles Vuidel ; Jean Cavailhes ; Pierre Frankhauser ; Dominique Peeters ; Isabelle Thomas

Source :

RBID : Pascal:11-0152763

Descripteurs français

English descriptors

Abstract

We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 1435-5930
A03   1    @0 J. geogr. syst.
A05       @2 13
A06       @2 1
A08 01  1  ENG  @1 Morphological similarities between DBM and a microeconomic model of sprawl
A09 01  1  ENG  @1 Complexity, Evolution and Spatial Phenomena
A11 01  1    @1 CARUSO (Geoffrey)
A11 02  1    @1 VUIDEL (Gilles)
A11 03  1    @1 CAVAILHES (Jean)
A11 04  1    @1 FRANKHAUSER (Pierre)
A11 05  1    @1 PEETERS (Dominique)
A11 06  1    @1 THOMAS (Isabelle)
A12 01  1    @1 CZAMANSKI (Daniel) @9 ed.
A14 01      @1 Center for Operations Research and Econometrics (CORE), Université catholique de Louvain @2 Louvain-la-Neuve @3 BEL @Z 1 aut. @Z 5 aut. @Z 6 aut.
A14 02      @1 UMR 6049 ThéMA, Université de Franche-Comté @2 Besançon @3 FRA @Z 2 aut. @Z 4 aut.
A14 03      @1 UMR 1041 CESAER, Institut National de la Recherche Agronomique (INRA) @2 Dijon @3 FRA @Z 3 aut.
A20       @1 31-48
A21       @1 2011
A23 01      @0 ENG
A43 01      @1 INIST @2 26950 @5 354000193682900030
A44       @0 0000 @1 © 2011 INIST-CNRS. All rights reserved.
A45       @0 1 p.1/4
A47 01  1    @0 11-0152763
A60       @1 P
A61       @0 A
A64 01  1    @0 Journal of geographical systems
A66 01      @0 DEU
C01 01    ENG  @0 We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.
C02 01  2    @0 001E01J02
C02 02  2    @0 224B02
C03 01  2  FRE  @0 Modèle @5 01
C03 01  2  ENG  @0 models @5 01
C03 01  2  SPA  @0 Modelo @5 01
C03 02  2  FRE  @0 Croissance @5 02
C03 02  2  ENG  @0 growth @5 02
C03 03  2  FRE  @0 Maille cristalline @5 03
C03 03  2  ENG  @0 lattice @5 03
C03 03  2  SPA  @0 Malla cristalina @5 03
C03 04  2  FRE  @0 Densité @5 04
C03 04  2  ENG  @0 density @5 04
C03 04  2  SPA  @0 Densidad @5 04
C03 05  2  FRE  @0 Marché @5 05
C03 05  2  ENG  @0 markets @5 05
C03 05  2  SPA  @0 Mercado @5 05
C03 06  2  FRE  @0 Route @5 06
C03 06  2  ENG  @0 roads @5 06
C03 06  2  SPA  @0 Carretera @5 06
C03 07  2  FRE  @0 Réseau @5 07
C03 07  2  ENG  @0 networks @5 07
C03 08  2  FRE  @0 Simulation @5 08
C03 08  2  ENG  @0 simulation @5 08
C03 08  2  SPA  @0 Simulación @5 08
C03 09  2  FRE  @0 Morphologie @5 09
C03 09  2  ENG  @0 morphology @5 09
C03 09  2  SPA  @0 Morfología @5 09
C03 10  2  FRE  @0 Théorie @5 10
C03 10  2  ENG  @0 theory @5 10
C03 10  2  SPA  @0 Teoría @5 10
C03 11  2  FRE  @0 Fractal @5 11
C03 11  2  ENG  @0 fractals @5 11
C03 11  2  SPA  @0 Fractal @5 11
N21       @1 101
N44 01      @1 OTO
N82       @1 OTO

Format Inist (serveur)

NO : PASCAL 11-0152763 INIST
ET : Morphological similarities between DBM and a microeconomic model of sprawl
AU : CARUSO (Geoffrey); VUIDEL (Gilles); CAVAILHES (Jean); FRANKHAUSER (Pierre); PEETERS (Dominique); THOMAS (Isabelle); CZAMANSKI (Daniel)
AF : Center for Operations Research and Econometrics (CORE), Université catholique de Louvain/Louvain-la-Neuve/Belgique (1 aut., 5 aut., 6 aut.); UMR 6049 ThéMA, Université de Franche-Comté/Besançon/France (2 aut., 4 aut.); UMR 1041 CESAER, Institut National de la Recherche Agronomique (INRA)/Dijon/France (3 aut.)
DT : Publication en série; Niveau analytique
SO : Journal of geographical systems; ISSN 1435-5930; Allemagne; Da. 2011; Vol. 13; No. 1; Pp. 31-48; Bibl. 1 p.1/4
LA : Anglais
EA : We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.
CC : 001E01J02; 224B02
FD : Modèle; Croissance; Maille cristalline; Densité; Marché; Route; Réseau; Simulation; Morphologie; Théorie; Fractal
ED : models; growth; lattice; density; markets; roads; networks; simulation; morphology; theory; fractals
SD : Modelo; Malla cristalina; Densidad; Mercado; Carretera; Simulación; Morfología; Teoría; Fractal
LO : INIST-26950.354000193682900030
ID : 11-0152763

Links to Exploration step

Pascal:11-0152763

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">Morphological similarities between DBM and a microeconomic model of sprawl</title>
<author>
<name sortKey="Caruso, Geoffrey" sort="Caruso, Geoffrey" uniqKey="Caruso G" first="Geoffrey" last="Caruso">Geoffrey Caruso</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Vuidel, Gilles" sort="Vuidel, Gilles" uniqKey="Vuidel G" first="Gilles" last="Vuidel">Gilles Vuidel</name>
<affiliation>
<inist:fA14 i1="02">
<s1>UMR 6049 ThéMA, Université de Franche-Comté</s1>
<s2>Besançon</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Cavailhes, Jean" sort="Cavailhes, Jean" uniqKey="Cavailhes J" first="Jean" last="Cavailhes">Jean Cavailhes</name>
<affiliation>
<inist:fA14 i1="03">
<s1>UMR 1041 CESAER, Institut National de la Recherche Agronomique (INRA)</s1>
<s2>Dijon</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Frankhauser, Pierre" sort="Frankhauser, Pierre" uniqKey="Frankhauser P" first="Pierre" last="Frankhauser">Pierre Frankhauser</name>
<affiliation>
<inist:fA14 i1="02">
<s1>UMR 6049 ThéMA, Université de Franche-Comté</s1>
<s2>Besançon</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Peeters, Dominique" sort="Peeters, Dominique" uniqKey="Peeters D" first="Dominique" last="Peeters">Dominique Peeters</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Thomas, Isabelle" sort="Thomas, Isabelle" uniqKey="Thomas I" first="Isabelle" last="Thomas">Isabelle Thomas</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">11-0152763</idno>
<date when="2011">2011</date>
<idno type="stanalyst">PASCAL 11-0152763 INIST</idno>
<idno type="RBID">Pascal:11-0152763</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000047</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">Morphological similarities between DBM and a microeconomic model of sprawl</title>
<author>
<name sortKey="Caruso, Geoffrey" sort="Caruso, Geoffrey" uniqKey="Caruso G" first="Geoffrey" last="Caruso">Geoffrey Caruso</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Vuidel, Gilles" sort="Vuidel, Gilles" uniqKey="Vuidel G" first="Gilles" last="Vuidel">Gilles Vuidel</name>
<affiliation>
<inist:fA14 i1="02">
<s1>UMR 6049 ThéMA, Université de Franche-Comté</s1>
<s2>Besançon</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Cavailhes, Jean" sort="Cavailhes, Jean" uniqKey="Cavailhes J" first="Jean" last="Cavailhes">Jean Cavailhes</name>
<affiliation>
<inist:fA14 i1="03">
<s1>UMR 1041 CESAER, Institut National de la Recherche Agronomique (INRA)</s1>
<s2>Dijon</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Frankhauser, Pierre" sort="Frankhauser, Pierre" uniqKey="Frankhauser P" first="Pierre" last="Frankhauser">Pierre Frankhauser</name>
<affiliation>
<inist:fA14 i1="02">
<s1>UMR 6049 ThéMA, Université de Franche-Comté</s1>
<s2>Besançon</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Peeters, Dominique" sort="Peeters, Dominique" uniqKey="Peeters D" first="Dominique" last="Peeters">Dominique Peeters</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Thomas, Isabelle" sort="Thomas, Isabelle" uniqKey="Thomas I" first="Isabelle" last="Thomas">Isabelle Thomas</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Journal of geographical systems</title>
<title level="j" type="abbreviated">J. geogr. syst.</title>
<idno type="ISSN">1435-5930</idno>
<imprint>
<date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Journal of geographical systems</title>
<title level="j" type="abbreviated">J. geogr. syst.</title>
<idno type="ISSN">1435-5930</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>density</term>
<term>fractals</term>
<term>growth</term>
<term>lattice</term>
<term>markets</term>
<term>models</term>
<term>morphology</term>
<term>networks</term>
<term>roads</term>
<term>simulation</term>
<term>theory</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Modèle</term>
<term>Croissance</term>
<term>Maille cristalline</term>
<term>Densité</term>
<term>Marché</term>
<term>Route</term>
<term>Réseau</term>
<term>Simulation</term>
<term>Morphologie</term>
<term>Théorie</term>
<term>Fractal</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.</div>
</front>
</TEI>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>1435-5930</s0>
</fA01>
<fA03 i2="1">
<s0>J. geogr. syst.</s0>
</fA03>
<fA05>
<s2>13</s2>
</fA05>
<fA06>
<s2>1</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG">
<s1>Morphological similarities between DBM and a microeconomic model of sprawl</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG">
<s1>Complexity, Evolution and Spatial Phenomena</s1>
</fA09>
<fA11 i1="01" i2="1">
<s1>CARUSO (Geoffrey)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>VUIDEL (Gilles)</s1>
</fA11>
<fA11 i1="03" i2="1">
<s1>CAVAILHES (Jean)</s1>
</fA11>
<fA11 i1="04" i2="1">
<s1>FRANKHAUSER (Pierre)</s1>
</fA11>
<fA11 i1="05" i2="1">
<s1>PEETERS (Dominique)</s1>
</fA11>
<fA11 i1="06" i2="1">
<s1>THOMAS (Isabelle)</s1>
</fA11>
<fA12 i1="01" i2="1">
<s1>CZAMANSKI (Daniel)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01">
<s1>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain</s1>
<s2>Louvain-la-Neuve</s2>
<s3>BEL</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>UMR 6049 ThéMA, Université de Franche-Comté</s1>
<s2>Besançon</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="03">
<s1>UMR 1041 CESAER, Institut National de la Recherche Agronomique (INRA)</s1>
<s2>Dijon</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA20>
<s1>31-48</s1>
</fA20>
<fA21>
<s1>2011</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>26950</s2>
<s5>354000193682900030</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2011 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>11-0152763</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Journal of geographical systems</s0>
</fA64>
<fA66 i1="01">
<s0>DEU</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.</s0>
</fC01>
<fC02 i1="01" i2="2">
<s0>001E01J02</s0>
</fC02>
<fC02 i1="02" i2="2">
<s0>224B02</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE">
<s0>Modèle</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG">
<s0>models</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="SPA">
<s0>Modelo</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE">
<s0>Croissance</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG">
<s0>growth</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE">
<s0>Maille cristalline</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG">
<s0>lattice</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="SPA">
<s0>Malla cristalina</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE">
<s0>Densité</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG">
<s0>density</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA">
<s0>Densidad</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE">
<s0>Marché</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG">
<s0>markets</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA">
<s0>Mercado</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE">
<s0>Route</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG">
<s0>roads</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="SPA">
<s0>Carretera</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE">
<s0>Réseau</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG">
<s0>networks</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE">
<s0>Simulation</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG">
<s0>simulation</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA">
<s0>Simulación</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE">
<s0>Morphologie</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG">
<s0>morphology</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA">
<s0>Morfología</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE">
<s0>Théorie</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG">
<s0>theory</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA">
<s0>Teoría</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE">
<s0>Fractal</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG">
<s0>fractals</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA">
<s0>Fractal</s0>
<s5>11</s5>
</fC03>
<fN21>
<s1>101</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
<server>
<NO>PASCAL 11-0152763 INIST</NO>
<ET>Morphological similarities between DBM and a microeconomic model of sprawl</ET>
<AU>CARUSO (Geoffrey); VUIDEL (Gilles); CAVAILHES (Jean); FRANKHAUSER (Pierre); PEETERS (Dominique); THOMAS (Isabelle); CZAMANSKI (Daniel)</AU>
<AF>Center for Operations Research and Econometrics (CORE), Université catholique de Louvain/Louvain-la-Neuve/Belgique (1 aut., 5 aut., 6 aut.); UMR 6049 ThéMA, Université de Franche-Comté/Besançon/France (2 aut., 4 aut.); UMR 1041 CESAER, Institut National de la Recherche Agronomique (INRA)/Dijon/France (3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of geographical systems; ISSN 1435-5930; Allemagne; Da. 2011; Vol. 13; No. 1; Pp. 31-48; Bibl. 1 p.1/4</SO>
<LA>Anglais</LA>
<EA>We present a model that simulates the growth of a metropolitan area on a 2D lattice. The model is dynamic and based on microeconomics. Households show preferences for nearby open spaces and neighbourhood density. They compete on the land market. They travel along a road network to access the CBD. A planner ensures the connectedness and maintenance of the road network. The spatial pattern of houses, green spaces and road network self-organises, emerging from agents individualistic decisions. We perform several simulations and vary residential preferences. Our results show morphologies and transition phases that are similar to Dieletric Breakdown Models (DBM). Such similarities were observed earlier by other authors, but we show here that it can be deducted from the functioning of the land market and thus explicitly connected to urban economic theory.</EA>
<CC>001E01J02; 224B02</CC>
<FD>Modèle; Croissance; Maille cristalline; Densité; Marché; Route; Réseau; Simulation; Morphologie; Théorie; Fractal</FD>
<ED>models; growth; lattice; density; markets; roads; networks; simulation; morphology; theory; fractals</ED>
<SD>Modelo; Malla cristalina; Densidad; Mercado; Carretera; Simulación; Morfología; Teoría; Fractal</SD>
<LO>INIST-26950.354000193682900030</LO>
<ID>11-0152763</ID>
</server>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Belgique/explor/OpenAccessBelV2/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000047 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000047 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Belgique
   |area=    OpenAccessBelV2
   |flux=    PascalFrancis
   |étape=   Corpus
   |type=    RBID
   |clé=     Pascal:11-0152763
   |texte=   Morphological similarities between DBM and a microeconomic model of sprawl
}}

Wicri

This area was generated with Dilib version V0.6.25.
Data generation: Thu Dec 1 00:43:49 2016. Site generation: Wed Mar 6 14:51:30 2024