Artificial Planning Experience by Means of a Heuristic Cell-Space Model

Simulating International Migration in the Urban Process

Datos Bibliográficos

ID4143045
AutoresJuval Portugali (0000-0002-9526-6121, Tel Aviv University), Itzhak Benenson (0000-0003-0704-0673, Tel Aviv University)
Año1995
Volumen27
Número10
Páginas1647-1665
Fecha de publicación1995-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores de la revistaISSN: 0308-518X • E-ISSN: 1472-3409
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1068/a271647
OpenAlexW2061006408
IdiomaEN
Citas recibidas11
Referencias citadas19

We suggest considering the city as a complex, open, and thus self-organized system, and describing it by means of a cell-space model. A central property of self-organizing systems is that they are not controllable-not by individuals, nor by economic, political, and planning institutions. The city, in this respect, is complex and untamable. Inability to recognize and accept this property is one of the reasons for the difficulties and problems of modernist town planning. The theory and model we present are built to describe the urban process as a historical one in which, given identical initial conditions, each simulation run is unique and never fully repeats itself. From the point of view of urban policy and planning, our heuristic model can guide decisionmakers by answering the following question: 'given the initial conditions of an inflow of new immigrants (that is, from the ex-USSR), what possible urban scenarios can result, and what are their global structural properties

Civil engineering · Economics · Epistemology · Geography · Heuristic · Inflow · Management science · Operations research · Urban planning · Computer Science · Engineering · Land Use and Ecosystem Services · Mathematics · Urban Design and Spatial Analysis · Artificial Intelligence