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Urban Area Development in Stochastic Cellular Automata

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Author Info
Ivan Mulianta (Bandung Fe Institute)
Yun Hariadi (Bandung Fe Institute)

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Abstract

Urban is still an interesting topic to discuss whether in government or public studies. As economy grows in cities, many people are attracted to come to cities from villages to try their luck. In this paper, we investigated urban area development using von Thunen’s economic location theory. By using stochastic Cellular Automata which views land location as agents that will change their states in agriculture, industry, and service series, here we show how the urban areas dominated by economy, industry, and service activities develop to their surroundings and form areas with typical activities with urban area. Even for the farther agriculture area from urban center, von Thunen’s theory is still valid.

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File URL: http://129.3.20.41/eps/urb/papers/0412/0412001.pdf
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Publisher Info
Paper provided by EconWPA in its series Urban/Regional with number 0412001.

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Length: 11 pages
Date of creation: 06 Dec 2004
Date of revision:
Handle: RePEc:wpa:wuwpur:0412001

Note: Type of Document - pdf; pages: 11
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Web page: http://129.3.20.41

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Related research
Keywords: von Thunen’s Theory; urban; Stochastic Cellular Automata; Markov matrices;

Find related papers by JEL classification:
R - Urban, Rural, and Regional Economics

This paper has been announced in the following NEP Reports:

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This page was last updated on 2009-12-9.


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