A web-based fuzzy CA model for urban growth simulation

Liu, Yan (2013). A web-based fuzzy CA model for urban growth simulation. In Stan Geertman, Fred Toppen and John Stillwell (Ed.), Planning Support Systems for Sustainable Urban Development (pp. 363-373) Heidelberg, Germany: Springer. doi:10.1007/978-3-642-37533-0_21

Author Liu, Yan
Title of chapter A web-based fuzzy CA model for urban growth simulation
Title of book Planning Support Systems for Sustainable Urban Development
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2013
Sub-type Research book chapter (original research)
DOI 10.1007/978-3-642-37533-0_21
Open Access Status
Series Lecture Notes in Geoinformation and Cartography
ISBN 9783642375323
ISSN 1863-2246
Editor Stan Geertman
Fred Toppen
John Stillwell
Volume number 195
Chapter number 21
Start page 363
End page 373
Total pages 11
Total chapters 27
Collection year 2014
Language eng
Abstract/Summary Cellular automata (CA) as an emerging technology has been adapted increasingly by geographers and planners to simulate the spatial and temporal processes of urban growth. While the literature reports many applications of cellular automata models for urban studies, in practice, the operation of the models and the calibration of the parameters in use were only known to the modellers. This is largely due to the constraint that most CA models were developed based on desktop computer programs, either by incorporating the model within a desktop GIS environment, or developing the model independent of a desktop GIS. Consequently, there is little input from the user to test or visualise the actual operation or evaluate the applicability of the model under different conditions. This chapter presents a methodology to implement a fuzzy constrained urban CA model within a web-based GIS environment using Gold Coast City in Southeast Queensland, Australia as a case study to simulate its spatio-temporal processes of urban growth. With the web-based CA model, users can visualise and test the operation of the model; they can modify or calibrate the model’s parameters and evaluate its simulation accuracies, or even feed the model with ‘what-if’ conditions to generate alternative outcomes. This web-based modelling platform provides a useful channel to foster public participation in urban planning and management.
Q-Index Code B1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes This book collects a selection of the best articles presented at the CUPUM (Computers in Urban Planning and Urban Management) conference, held in the second week of July 2013 in Utrecht, the Netherland.

Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Fri, 30 Aug 2013, 11:26:38 EST by Dr Yan Liu on behalf of School of Geography, Planning & Env Management