Co-evolution of Density and Topology in a Simple Model of City Formation

被引:58
|
作者
Barthelemy, Marc [1 ,2 ]
Flammini, Alessandro [3 ]
机构
[1] Ctr Etud Bruyeres Le Chatel, Dept Phys Theor & Appl, CEA, F-91680 Bruyeres Le Chatel, France
[2] Ecole Hautes Etud Sci Sociales, Ctr Anal & Math Sociales, CAMS, CNRS EHESS,UMR 8557, F-75270 Paris 06, France
[3] Indiana Univ, Sch Informat, Bloomington, IN 47408 USA
来源
NETWORKS & SPATIAL ECONOMICS | 2009年 / 9卷 / 03期
关键词
Networks; City formation and evolution; Urban economics; URBAN-GROWTH PATTERNS; TRANSPORTATION NETWORKS; SPATIAL STRUCTURE; STREET NETWORKS; SCALING LAWS; BETWEENNESS; CENTRALITY; GRAPHS; SIZE; SET;
D O I
10.1007/s11067-008-9068-5
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We study the influence that population density and the road network have on each others' growth and evolution. We use a simple model of formation and evolution of city roads which reproduces the most important empirical features of street networks in cities. Within this framework, we explicitly introduce the topology of the road network and analyze how it evolves and interact with the evolution of population density. We show that accessibility issues -pushing individuals to get closer to high centrality nodes- lead to high density regions and the appearance of densely populated centers. In particular, this model reproduces the empirical fact that the density profile decreases exponentially from a core district. In this simplified model, the size of the core district depends on the relative importance of transportation and rent costs.
引用
收藏
页码:401 / 425
页数:25
相关论文
共 50 条
  • [41] Evolution Control in MDE Projects: Controlling Model and Code Co-evolution
    Estublier, Jacky
    Leveque, Thomas
    Vega, German
    FUNDAMENTALS OF SOFTWARE ENGINEERING, 2010, 5961 : 431 - 438
  • [42] Simple density topology
    Wilczynski W.
    Aversa V.
    Rendiconti del Circolo Matematico di Palermo, 2004, 53 (3) : 344 - 352
  • [43] Fifty years of co-evolution and beyond: integrating co-evolution from molecules to species
    Carmona, Diego
    Fitzpatrick, Connor R.
    Johnson, Marc T. J.
    MOLECULAR ECOLOGY, 2015, 24 (21) : 5315 - 5329
  • [44] Research on Evolution Mechanism of the Modern Services Clusters Based on the Co-evolution Model
    Dai Wen
    Zhang Jianwei
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II, 2008, : 580 - 585
  • [45] The process and a simple logic of ‘meso’. Emergence and the co-evolution of institutions and group size
    Wolfram Elsner
    Journal of Evolutionary Economics, 2010, 20 : 445 - 477
  • [46] Microeconomic co-evolution model for financial technical analysis signals
    Rotundo, G.
    Ausloos, M.
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2007, 373 : 569 - 585
  • [47] Using Weaving Models in Metamodel and Model Co-Evolution Approach
    Anguel, F.
    Amirat, A.
    Bounour, N.
    2014 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (CSIT), 2014, : 142 - 147
  • [48] Evolution Inversion: Co-Evolution of Model and Data for Seismic Reservoir Parameters Inversion
    Song, Cao
    Lu, Minghui
    Lu, Wenkai
    Geng, Weiheng
    Li, Yinshuo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [49] Ecological research on the co-evolution model of the modern services clusters
    Dai Wen
    Li Wenxin
    INDUSTRY CLUSTER AND META-STUDIES, 2008, : 749 - 754
  • [50] A Multi-Agent Model for the Co-Evolution of Ideas and Communities
    Ghanem, Amer G.
    Minai, Ali A.
    Uber, James G.
    2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,