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Urban Area Development in Stochastic Cellular Automata

Author

Listed:
  • Ivan Mulianta

    (Bandung Fe Institute)

  • Yun Hariadi

    (Bandung Fe Institute)

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.

Suggested Citation

  • Ivan Mulianta & Yun Hariadi, 2004. "Urban Area Development in Stochastic Cellular Automata," Urban/Regional 0412001, EconWPA.
  • Handle: RePEc:wpa:wuwpur:0412001
    Note: Type of Document - pdf; pages: 11
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/urb/papers/0412/0412001.pdf
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    More about this item

    Keywords

    von Thunen’s Theory; urban; Stochastic Cellular Automata; Markov matrices;

    JEL classification:

    • R - Urban, Rural, Regional, Real Estate, and Transportation Economics

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