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| Content Provider | Springer Nature Link |
|---|---|
| Author | Mantelas, Lefteris Prastacos, Poulicos Hatzichristos, Thomas Koutsopoulos, Kostis |
| Copyright Year | 2010 |
| Abstract | In this paper we present a methodological framework designed to access urban growth dynamics and simulate urban growth. To do so, it utilizes the descriptive power of Fuzzy Logic and Fuzzy Algebra to map the effects of various parameters to the urban growth phenomenon and express them in comprehensible terms. Sensitive Sum, a new fuzzy operator is proposed to employ a parallel connection between the effects of separate variables while taking into account the (statistical) correlation between them. As a result, the model implements a reducible/extensible form of Knowledge Base which can include both data-driven and empirical rules and does not require certain variables/data to run. In order to simulate urban growth Cellular Automata techniques are incorporated that are enhanced by pseudo-agent behavior. The proposed model is applied in the broader Mesogia area in east Attica (Athens, Greece) for the period 2000–2007 during which urban land cover grew by 66% and appears to capture the urban growth dynamics occurred in a satisfactory way. |
| Starting Page | 13 |
| Ending Page | 28 |
| Page Count | 16 |
| File Format | |
| ISSN | 03432521 |
| Journal | GeoJournal |
| Volume Number | 77 |
| Issue Number | 1 |
| e-ISSN | 15729893 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2010-08-19 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Urban growth Cellular automata Fuzzy inference Sensitive sum operator Mesogia Athens Geography (general) Human Geography Environmental Management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development |
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