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Geosimulation Model Using Geographic Automata for Simulating Land-Use Patterns in Urban Partitions

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  • Zhenjiang Shen
  • Mitsuhiko Kawakami
  • Ippei Kawamura

    (Fukui Prefecture Government, Fukui City 910-8580, Japan)

Abstract

Cellular automata (CA) are an effective means of urban-growth simulation. Moreover, the development of a planning support system associated with the theory of artificial intelligence has recently become a new global challenge. In this paper we investigate a geosimulation model using CA based on the geographic information system (GIS) for visualising land-use patterns in urban partitions. Most recent simulation models using CA have been developed in regular grid nets or networks, where adjacent grids or networks in urban space are easily addressed. Our project explores how to utilise an irregular polygon dataset in a GIS database in order to deal with spatial microsimulation. A new concept used in this project takes into account the effects of urban planning, such as land-use zoning and street networks, at the level of parcels and blocks in urban space. Adjacent irregular parcels on both sides of a street are intended targets in the simulation. In this paper, a method of simulating land-use patterns in urban space after the implementation of land-readjustment projects is discussed.

Suggested Citation

  • Zhenjiang Shen & Mitsuhiko Kawakami & Ippei Kawamura, 2009. "Geosimulation Model Using Geographic Automata for Simulating Land-Use Patterns in Urban Partitions," Environment and Planning B, , vol. 36(5), pages 802-823, October.
    • Handle: RePEc:sae:envirb:v:36:y:2009:i:5:p:802-823
    DOI: 10.1068/b34148t
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    Cited by:

    1. Ying Long & Kang Wu, 2017. "Simulating Block-Level Urban Expansion for National Wide Cities," Sustainability, MDPI, vol. 9(6), pages 1-19, May.

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