Urban Planning
ali movahed; Zahra Sahraeyan; mohamad soleimani
Volume 23, Issue 68 , September 2019, , Pages 265-284
Abstract
Since the beginning of the present century, the changes in urbanization and its physical transformations have had unfavorable consequences on the structure of the Iranian city, so that the current city, without any attention to its initial construction and organization, has been characterized by disruption, ...
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Since the beginning of the present century, the changes in urbanization and its physical transformations have had unfavorable consequences on the structure of the Iranian city, so that the current city, without any attention to its initial construction and organization, has been characterized by disruption, irregular (uneven) development and Socio-economic inequalities. Therefore, the study of changes in the spatial and physical structure of urban environments and their orientation towards harmony and spatial equilibrium is necessary in various aspects of physical, social and economic and preventing spatial instability and inequality.Since it is difficult and impossible to understand the structure and frame of cities based on the analysis of all parts of the city. therefore, analyzing the spatial structure of cities in relation to urban development pattern needs to be able to respond to these spatial spatial complexities and help to understand the structure and spatial structure of modern cities .of theories and methods that study the structure and configuration of urban spac is space layout theory. based on this theory, the city structure and basics.
Urban Planning
Mohammad Taleai; Meysam Aghamohammadi; Mohammad Karimi; Ghasem Javadi
Abstract
Rapid, irregular and unbalanced growth of the world population during past years, particularly in developing countries, have been caused many problems in the areas of environmental, economic, social and cultural for urban planners. These situations request new methods and tools to model and predict urban ...
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Rapid, irregular and unbalanced growth of the world population during past years, particularly in developing countries, have been caused many problems in the areas of environmental, economic, social and cultural for urban planners. These situations request new methods and tools to model and predict urban future changes. Due to simple and dynamic structure and utilizing spatial characteristics, Cellular Automation (CA) model widely uses in spatial-temporal modeling problems such as urban extension. This paper develops a Fuzzy-CA method to model urban extension. In conventional CA method, state and position of pixels and transition rules are defined certainly. The definitive expression of components of the complex processes needs a large amount of data. However in most cases accurate data are not available. As a result, integration of CA method and fuzzy theory would be useful to model urban extension. In this paper a Fuzzy-CA method is developed and tested in Shiraz city between the years 2004 to 2009. The results of the proposed method show 80% accuracy in comparison to real data have been captured from satellite images. However, an accuracy of 75% has been reported for this case study with utilizing conventional cellular automation.