Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

This research analyses the suburban expansion in the metropolitan area of Tehran, Iran. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Environmental and socio-eco...

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Hauptverfasser: Jokar Arsanjani, Jamal (VerfasserIn) , Helbich, Marco (VerfasserIn) , Kainz, Wolfgang (VerfasserIn) , Darvishi Boloorani, Ali (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2013
In: International journal of applied earth observation and geoinformation
Year: 2012, Jahrgang: 21, Pages: 265-275
ISSN:1872-826X
DOI:10.1016/j.jag.2011.12.014
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.jag.2011.12.014
Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S0303243411002091
Volltext
Verfasserangaben:Jamal Jokar Arsanjani, Marco Helbich, Wolfgang Kainz, Ali Darvishi Boloorani
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Zusammenfassung:This research analyses the suburban expansion in the metropolitan area of Tehran, Iran. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Environmental and socio-economic variables dealing with urban sprawl were operationalised to create a probability surface of spatiotemporal states of built-up land use for the years 2006, 2016, and 2026. For validation, the model was evaluated by means of relative operating characteristic values for different sets of variables. The approach was calibrated for 2006 by cross comparing of actual and simulated land use maps. The achieved outcomes represent a match of 89% between simulated and actual maps of 2006, which was satisfactory to approve the calibration process. Thereafter, the calibrated hybrid approach was implemented for forthcoming years. Finally, future land use maps for 2016 and 2026 were predicted by means of this hybrid approach. The simulated maps illustrate a new wave of suburban development in the vicinity of Tehran at the western border of the metropolis during the next decades.
Beschreibung:Gesehen am 20.10.2020
First published: 20 January 2012
Beschreibung:Online Resource
ISSN:1872-826X
DOI:10.1016/j.jag.2011.12.014