Modeling population dynamics in the city: From a regional to a multi-agent approach
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 qualitative...
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| Format: | Article |
| Language: | English |
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Wiley
1999-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1026022699000187 |
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| _version_ | 1849686064834281472 |
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| author | Itzhak Benenson |
| author_facet | Itzhak Benenson |
| author_sort | Itzhak Benenson |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bb80e394d5c644228791eada0c2260cf |
| institution | DOAJ |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 1999-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-bb80e394d5c644228791eada0c2260cf2025-08-20T03:22:52ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X1999-01-0132-314917010.1155/S1026022699000187Modeling population dynamics in the city: From a regional to a multi-agent approachItzhak Benenson0Department of Geography, Tel-Aviv University, Ramat-Aviv 69978, IsraelThe 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.http://dx.doi.org/10.1155/S1026022699000187Urban modelingRegional modelingEcological modelingCellular AutomataMulti-agent simulationsGIS-based modeling. |
| spellingShingle | Itzhak Benenson Modeling population dynamics in the city: From a regional to a multi-agent approach Discrete Dynamics in Nature and Society Urban modeling Regional modeling Ecological modeling Cellular Automata Multi-agent simulations GIS-based modeling. |
| title | Modeling population dynamics in the city: From a regional to a multi-agent approach |
| title_full | Modeling population dynamics in the city: From a regional to a multi-agent approach |
| title_fullStr | Modeling population dynamics in the city: From a regional to a multi-agent approach |
| title_full_unstemmed | Modeling population dynamics in the city: From a regional to a multi-agent approach |
| title_short | Modeling population dynamics in the city: From a regional to a multi-agent approach |
| title_sort | modeling population dynamics in the city from a regional to a multi agent approach |
| topic | Urban modeling Regional modeling Ecological modeling Cellular Automata Multi-agent simulations GIS-based modeling. |
| url | http://dx.doi.org/10.1155/S1026022699000187 |
| work_keys_str_mv | AT itzhakbenenson modelingpopulationdynamicsinthecityfromaregionaltoamultiagentapproach |