Finding Suitable Locations for Temporary Housing After An Earthquake Using TOPSIS and AHP Methods (Case Study: Rudsar City)
Abstract
This research was conducted with the aim of finding suitable locations for temporary housing after an earthquake using Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods (case study: Rudsar city). The statistical population studied in this study included relief and rescue experts as well as various parts of the city of Rudsar for temporary accommodation after the earthquake. The present research method is field-based and descriptive survey-based, and the data collection tool in this study includes a researcher-made questionnaire as well as field measurements. In this study, 4500 plots of land and 9 different blocks for settlement were initially examined using the desired criteria, and the distribution range of each of these blocks was implemented in Geographic Information System (GIS) software. The final criteria identified in this study included the criteria of land use, population, natural, security, and accessibility. Initially, the weight of each of these criteria was calculated using fuzzy AHP analysis, and the results of fuzzy AHP analysis showed that the order of importance of each was as follows: 1) Population criterion, 2) Security criterion, 3) Access criterion, 4) User criterion, and 5)Natural criterion. After identifying the weights of the criteria, the fuzzy TOPSIS method was used to select a suitable location for temporary housing. For this purpose, the opinions of experts were used, and the results of the fuzzy TOPSIS analysis showed that Block 7 was the best location for temporary housing after the earthquake in the city of Rudsar.
Keywords:
Location, Temporary settlement, Fuzzy analysis, EarthquakeReferences
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