DocumentCode :
3374418
Title :
Monitoring and Spatially Explicit Simulation of Land Use Dynamics: From Cellular Automata to Geosimulation - A Case Study of Tehran, Iran
Author :
Arsanjani, Jamal Jokar ; Kainz, Wolfgang ; Azadbakht, Mohsen
Author_Institution :
Dept. of Geogr. & Regional Res., Univ. of Vienna, Vienna, Austria
fYear :
2011
fDate :
9-11 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
In this investigation, several simulation approaches such as cellular automata, the Markov chain model, CA-Markov model, hybrid logistic regression model and agent-based modeling (ABM) are employed in order to simulate urban expansion. The complexity of the aforementioned models increase respectively once the available environmental and socio-economic variables are taken into consideration. However, the comparison of the models results in developing a customized ABM, which takes the individual behaviors into consideration. Within this ABM, three different agents influencing urban sprawl are defined: developer agents, resident agents, government agents. Each agent considers the relevant variables, which are controlled by the respective agent. In addition, the importance of each variable, which affects urban sprawl, was identified through an analytic hierarchy process analysis. Each particular model was evaluated statistically in order to assure the validity of the approach and afterwards, the approach was applied to predict the forthcoming urban expansion.
Keywords :
Markov processes; cellular automata; geophysics computing; regression analysis; socio-economic effects; terrain mapping; vegetation mapping; CA-Markov model; Iran; Markov chain model; Tehran; agent based modeling; analytic hierarchy process analysis; cellular automata; developer agents; environmental variable; geosimulation; government agents; hybrid logistic regression model; land use dynamics; resident agents; socioeconomic variable; spatially explicit simulation; urban expansion simulation; urban sprawl; Automata; Biological system modeling; Computational modeling; Government; Logistics; Markov processes; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Data Fusion (ISIDF), 2011 International Symposium on
Conference_Location :
Tengchong, Yunnan
Print_ISBN :
978-1-4577-0967-8
Type :
conf
DOI :
10.1109/ISIDF.2011.6024203
Filename :
6024203
Link To Document :
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