International Journal of Applied Science and Technology

ISSN 2221-0997 (Print), 2221-1004 (Online) 10.30845/ijast

Analyzing of Reduction Process of Urban Open Spaces in Process of Cities Development with Emphasis on Crisis Management in Tehran Metropolis
Dr. Ezatollah Mafi, Parisa Roshani, Alireza Hassani, Seyed Ali Hossien pour

Abstract
Urbanism is effective science in order to reduction damages while accruing disaster. Indeed, urbanism is important in term of natural crisis due to have key role in physical development process. Today one of the most important issues in Tehran metropolis is shortage of usable open spaces in crisis conditions because there is proportion between built spaces, building density and usable open spaces in crisis conditions. It is clearly that could be used from open spaces in crisis conditions as relief base and temporary accommodation. The main issue in order to studying in dynamic systems is reduction process of urban open spaces with usable in crisis conditions. So in this research have been defined new mechanisms and policies in order to modification of destructive mechanism by studying of effective mechanisms and identifying cause-effect structure. In this study, at first was determined system boundary and effective endogenous and exogenous variables. Then, was studied reference variable behavior. After that were determined dynamic assumptions and was prepared conceptual model and cause-effect diagrams. At finally, modeling was performed by definition of parameters and structuring of dynamic theories in "Vensim PLE" Software for 20 years periods . the obtained model was tested in extreme conditions . Analyzing of reduction process of urban open spaces in process of cities development in Tehran metropolis is the purpose of this research. The research method is analysis – descriptive. Also data collected is documents – field. The results show that will be controlled reduction process of urban open spaces with usable in crisis conditions in Tehran metropolis by modification of destructive mechanisms also using policies that associated with key variables.

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