Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy constrained cellular automata approach

Liu, Yan (2012) Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy constrained cellular automata approach. International Journal of Geographical Information Science, 26 1: 151-167. doi:10.1080/13658816.2011.577434

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Liu, Yan
Title Modelling sustainable urban growth in a rapidly urbanising region using a fuzzy constrained cellular automata approach
Journal name International Journal of Geographical Information Science   Check publisher's open access policy
ISSN 1362-3087
1365-8816
Publication date 2012-01
Year available 2011
Sub-type Article (original research)
DOI 10.1080/13658816.2011.577434
Open Access Status
Volume 26
Issue 1
Start page 151
End page 167
Total pages 17
Place of publication Colchester, Essex, United Kingdom
Publisher Taylor & Francis
Collection year 2012
Language eng
Abstract This article presents an application of a fuzzy-constrained cellular automata model to simulate the spatio-temporal processes of urban growth in the rapidly growing Gold Coast City in Southeast Queensland, Australia. Urban growth has been captured in the model as a continuous process in space and over time, which has been affected by a set of primary and secondary transition rules. The primary transition rules deal with the propensity of a local area for development and the impact of its neighbouring cells on such development, while the secondary transition rules reflect the influences of environmental and institutional factors on urban growth. Application of the model demonstrates its re-applicability to different regions and the effectiveness of the cellular automata technique in studying urban dynamics. It also provides tools to explore sustainable urban growth options under different socio-environmental and planning control factors. A sustainable urban future of the region is achievable if development is managed to maintain a balance amongst ecological conservation, economic growth and the contemporary Australian lifestyle.
Keyword Sustainable urban growth
Cellular automata
Fuzzy set
Fuzzy logicconstrained rule
Gold Coast City
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Version of record first published: 24 Oct 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2012 Collection
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 15 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 07 Dec 2011, 19:41:42 EST by Dr Yan Liu on behalf of School of Geography, Planning & Env Management