Location of urban green spaces using fuzzy algorithms and IDRISI software; Case study: temporary accommodation in district one of Tehran
Today, the green spaces of parks can be one of the main places for temporary accommodation, especially in the 1st district of Tehran, due to its location in the main underground axis of danger during an earthquake. Therefore, choosing a "suitable place for temporary settlement" of populations affected by accidents is one of the most important issues that is always the concern of organizations responsible for crisis management. In Iran and most parts of the world, the location selection for citizens' green space after an accident is usually done experimentally by relief organizations without considering the necessary standards. Therefore, the main topic of this article is the location of urban green spaces for temporary accommodation using fuzzy algorithms. The research method is to perform fuzzy integration operation and green space locating operation for temporary accommodation, considering the wide capabilities of IDRISI software, which was used in multi-criteria decision analysis problems. The results of this research show that according to the definite limits applied in the Boolean method (classical method), in this method, the located areas have more number than the methods based on fuzzy logic. to be The findings of the research show that the WLC method, despite its simplicity, has a very high efficiency and gives the power to the trustees to assign different weights to different factors according to their importance. Assign Also, in the end, it seems that Jamshidiyeh Park in the first place and Qaitarieh Park in the second place have the maximum combined points of Boolean and Fuzzy logic to enjoy temporary accommodation in the 1st district of Tehran.
green space , localization , fuzzy logic , IDRISI , WLC
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