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.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 36 (2009) Issue (Month): 5 (September) Pages: 802-823 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF