Simulation of Land Use Changes in Urban Fabrics with Integration of Monte Carlo Approach, Fuzzy Logic and Cellular Automata, Case Study: District 7th of Isfahan

Document Type : Science - Research

Authors

1 Ph.D. Candidate, Department of Urban Planning, Art University of Isfahan, Isfahan, Iran.

2 Associate Professor, Department of Urban Planning, Art University of Isfahan, Isfahan, Iran.

Abstract

The aim of this study was to simulate land use change in urban contexts using a combination of Monte Carlo model, fuzzy logic and automated cells in District 7 of Isfahan.The research method was descriptive-analytical, and usage of Monte Carlo approach, application of more land types, more comprehensive transition rules, and more complete factors in the land use change process are of its contribution. In this study first the framework of the automated cell model integrated with fuzzy logic and the Monte Carlo approach was described. Two time periods of 1390-1400 and 1400-1410 were used. Finally, to compare the developed model with the models of automatic cells integrated with fuzzy logic and traditional automatic cells, three indicators of compatibility, compactness and land susceptibility were used. According to the research results of the cellular model combined with fuzzy logic and the Monte Carlo approach had a more satisfactory output than the other two models.

Highlights

Using the Monte Carlo approach, providing a higher number of land uses, defining more comprehensive transfer rules and using more complete factors and indicators in the land use change process

Keywords

Main Subjects

References

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Journal of Urban Ecology Researches
Volume 12, Issue 3 - Serial Number 23
Spring & Summer
May 2021
Pages 51-68

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History

  • Receive Date: 08 December 2017
  • Revise Date: 03 March 2018
  • Accept Date: 02 February 2019

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