Modeling population dynamics in the city: from a regional to a multi-agent approach.
type: Item
instance of: scholarly article
title: Modeling population dynamics in the city: from a regional to a multi-agent approach.
zbMATH Open document ID: 1079.91576
DOI: 10.1155/S1026022699000187
author: Itzhak Benenson
published in: Discrete Dynamics in Nature and Society
publication date: 2001-03-05T00:00:00Z
full work available at URL: https://eudml.org/doc/125503
review text: Summary: The paper reviews different approaches to urban population from the point of view of the theory of complex systems. Regional models deal with large numbers of urban regions involved in exchanging population and resources among themselves. In contrast, ecological models deal with several qualitatively different types of relationships between a small number of components, aimed at understanding the most general laws of urban dynamic. Two relatively new approaches, namely Cellular Automata and multi-agent ones describe the macro-processes resulting from uniform collective processes at the micro-level of land parcels and migrating city individuals. Recent results of the multi-agent simulations regarding abstract and real-world systems are presented in more details.
Mathematics Subject Classification ID: 91D10
Mathematics Subject Classification ID: 92D25
zbMATH DE Number: 1529563
zbMATH Keywords: Urban modeling, Regional modeling, Ecological modeling, Cellular Automata, Multi-agent simulations, GIS-based modeling.
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 1529563