Urban Area Development in Stochastic Cellular Automata

Ivan Mulianta and Yun Hariadi
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Ivan Mulianta: Bandung Fe Institute
Yun Hariadi: Bandung Fe Institute
Authors registered in the RePEc Author Service: Ivan Mulianta Sembiring Meliala

Urban/Regional from University Library of Munich, Germany

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.

Keywords: von Thunen’s Theory; urban; Stochastic Cellular Automata; Markov matrices (search for similar items in EconPapers)
JEL-codes: R (search for similar items in EconPapers)
Pages: 11 pages
Date: 2004-12-06
New Economics Papers: this item is included in nep-geo and nep-ure
Note: Type of Document - pdf; pages: 11
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpur:0412001

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