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Temporary site selection and decision‐making methods: a case study of Tehran, Iran
Author(s) -
Omidvar Babak,
BaradaranShoraka Mohammad,
Nojavan Mehdi
Publication year - 2013
Publication title -
disasters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.744
H-Index - 70
eISSN - 1467-7717
pISSN - 0361-3666
DOI - 10.1111/disa.12007
Subject(s) - site selection , ranking (information retrieval) , selection (genetic algorithm) , capital city , capital region , operations research , computer science , disaster area , transport engineering , geography , engineering , artificial intelligence , economic geography , regional science , political science , law , meteorology
Decisions on selecting an appropriate site for temporary shelter used to be taken in a limited amount of time after a disaster. The need for a systematic method in this area inspired the MADM (multi‐attribute decision making) for complex disaster management decisions. This research proposes a model for appropriate and systematic site selection for temporary shelters, before an earthquake, using a geographical information system and MADM based on an earthquake damage assessment. After the effective criteria for site selection of temporary shelters are determined, the geographical layers of these criteria are prepared for Municipal District No.1 of Greater Tehran, the capital of Iran. Given these attributes and the required shelter area (415–610 hectares), 14 zones are proposed initially. Various MADM methods are used for the final selection. The mean of the aggregated ranking results are determined, and 10 of the 14 initial zones are ranked.