Abstract

Urban sprawl has become a remarkable feature in urban development, especially in developing countries, in the last decades. To face this phenomenon, it is required to first forecast auto-spreading orientation rural areas over time in order to avoid shapeless urban growth. Although GIS/RS and CA- Markov models are applied to study urban growth patterns the world over, very few studies have applied these methods to examine the urban growth of Iran. A major land use change is detected here from 1989 to 2013. In this study the future sprawl of this province is forecasted for target years of 2025 and 2037 through a simulation. The results predict an alarming increase in urban development for the target years of 2025 and 2037, with an expansion is predicted to develop of 11510 and 18320 ha, respectively. In sum, this model is an efficient tool for the support of urban planning decisions and facilitates the process of sustainable urban development providing decision-makers.

Details

Title
Dynamic simulation of urban expansion through a CA-Markov model Case study: Hyrcanian region, Gilan, Iran
Author
Jafari, Meisam 1 ; Majedi, Hamid 2 ; Seyed Masoud Monavari 3 ; Ali Asghar Alesheikh 4 ; Mirmasoud Kheirkhah Zarkesh 5 

 Department of Environmental Science, Science and Research Branch, Islamic Azad University, Tehran, Iran 
 Department of Art and Architecture, Science and Research Branch, Islamic Azad University, Tehran, Iran 
 Department of Land use Planning and Assessment, Science and Research Branch, Islamic Azad University, Tehran, Iran 
 Department of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran 
 Department of Remote Sensing and GIS, Science and Research Branch, Islamic Azad University, Tehran, Iran 
End page
529
Publication year
2016
Publication date
2016
Publisher
Taylor & Francis Ltd.
e-ISSN
22797254
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2200895234
Copyright
© 2016 The Author(s). Published by Taylor & Francis. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.