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The Urban land use Planning Using Cellular Automata Model: A Case study of 1st Municipal district of Isfahan city, Iran

Author Affiliations

  • 1Department of Urban Planning, Islamic Azad University, Boroujerd Science and Research Branch, IRAN
  • 2 Department of Urban Planning, Art University of Isfahan, IRAN

Res. J. Recent Sci., Volume 3, Issue (5), Pages 33-42, May,2 (2014)


Efficient use of land and urban land use planning is one of the key issues in urban planning system and should be informed and guided by the uncontrolled growth of cities and the development of agricultural lands to prevent waste. Due to the importance and necessity of urban land use planning and discussion of the problems of modern cities. It is necessary to apply new methods and tools that can assist planners in making decisions. Among these methods, methods based on support systems are planned. One of these methods is decision support system –based methods. Cellular automata model is one of the dynamic programming methods analyzing the urban land use structure and the related effects through stimulation of urban land use and prediction of its changes. In cellular automata with a survey of the land and allocating land to land demand forecast, the future of the region is anticipated through a variety of allocation scenarios. The results show that the best decision for the area of 1th Municipal District of Isfahan City is applying the functional areas of residential neighborhoods in areas suitable for residential development and welfare activities in moderately suitable areas for residential development and it is achieved by analysis of environmental suitability stage. Also, promoting the employment to keep the original population of historical fabric of the region is considered.


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