CITIES AS CELLULAR AUTOMATA : Part 1 Applicability of CA and formation of urban land-use patterns
セルオートマトンとしての都市 : (その1) CAの応用性と土地利用パターンの形成
Cities have grown and changed by intricate urban activities, and complex urban land-use patterns have formed. It is reasonable to suppose that complexity is an essential quality of cities. In this paper, the authors try to generate urban land-use patterns using an expanded cellular automata model. The proposed model is composed of three urban activities (residence, business, commerce) which interact economically. Each cell has three kinds of potentials corresponding to urban activities described with real numbers. These potentials can be considered to indicate populations or building areas. Potentials of each cell change by interactions, and each cell takes one of the following three actions: increase, disappearance, and no action. Using this model, urban land-use patterns can be generated. Comparing illustrated results with real cities, it can be said that this proposed model can simulate complex patterns of cities by relatively simple rules.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13404210
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Authors:
- TAKIZAWA, Atsushi
- KAWAMURA, Hiroshi
- TANI, Akinori
- Publication Date: 1998
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: pp 203-209
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Serial:
- Journal of Architecture and Planning (Transactions of AIJ)
- Volume: 63
- Issue Number: 506
- Publisher: Architectural Institute of Japan
- ISSN: 1340-4210
- EISSN: 1881-8161
- Serial URL: https://www.jstage.jst.go.jp/browse/aija/-char/en
Subject/Index Terms
- TRT Terms: Businesses; Cellular automata; Complex systems; Land use; Residential areas; Trade; Urban areas; Urban development
- Subject Areas: Highways; Planning and Forecasting;
Filing Info
- Accession Number: 01631646
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Mar 31 2017 5:09PM