Title | ||
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Simulating urban growth by integrating landscape expansion index LEI and cellular automata |
Abstract | ||
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Traditional urban cellular automata CA model can effectively simulate infilling and edge-expansion growth patterns. However, most of these models are incapable of simulating the outlying growth. This paper proposed a novel model called LEI-CA which incorporates landscape expansion index LEI with CA to simulate urban growth. Urban growth type is identified by calculating the LEI index of each cell. Case-based reasoning technique is used to discover different transition rules for the adjacent growth type and the outlying growth type, respectively. We applied the LEI-CA model to the simulation of urban growth in Dongguan in southern China. The comparison between logistic-based CA and LEI-CA indicates that the latter can yield a better performance. The LEI-CA model can improve urban simulation accuracy over logistic-based CA by 13.8%, 10.8% and 6.9% in 1993, 1999 and 2005, respectively. Moreover, the outlying growth type hardly exists in the simulation by logistic-based CA, while the proposed LEI-CA model performs well in simulating different urban growth patterns. Our experiments illustrate that the LEI-CA model not only overcomes the deficiencies of traditional CA but might also better understand urban evolution process. |
Year | DOI | Venue |
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2014 | 10.1080/13658816.2013.831097 | International Journal of Geographical Information Science |
Keywords | Field | DocType |
adjacent growth type,urban growth,urban growth type,lei-ca model,outlying growth,different urban growth pattern,edge-expansion growth pattern,logistic-based ca,landscape expansion index lei,traditional urban cellular automaton,outlying growth type,cellular automata | Data mining,Cellular automaton,Computer science,Urban simulation,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
28 | 1 | 1365-8816 |
Citations | PageRank | References |
37 | 1.47 | 7 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaoping Liu | 1 | 510 | 37.78 |
Lei Ma | 2 | 46 | 2.77 |
Xia Li | 3 | 735 | 50.94 |
Bin Ai | 4 | 156 | 8.23 |
Shaoying Li | 5 | 49 | 3.03 |
Zhijian He | 6 | 44 | 3.12 |