@ARTICLE{Azarkish, author = {azarkish, Mohsen and Hafez Rezazadeh, Masoume and Miri, Gholamreza and }, title = {Application of geographic information system and Analytical Hierarchy Process (AHP) in Locating Sites for Temporary Housing Victims of natural disasters in the Region Two Municipality of Zahedan}, volume = {17}, number = {58}, abstract ={One of the main issues that are of interest to planners and managers responsible for crisis management, select a suitable location for the temporary housing of the communities are damaged due to accidents. Failure to observe proper location may predispose crisis far beyond the primary incident. So, necessity of planning, and management and suggesting the appropriate methods in housing temporary or emergency affected population before the crisis is inevitable. Within the framework of descriptive analytical method, after identifying the factors affecting the locating temporary housing sites, with previous experience relevant to the investigation and the characteristics of the extracted. Information and data available to selected and weighting criteria and indicators according to experts in crisis management and was used in the Paired comparison technique and software (Expert choice). Using the model (AHP) and software (Arc GIS) layers each criterion according to the specified weight of each one was combined . The purpose of this study is to provide a convenient and applied to locate temporary housing sites using the Analytic Hierarchy Process (AHP). This research the region two municipality of Zahedan selected as a case study to identify the desired location in the region. Output, Proper land use zoning map in the region two municipality of Zahedan is a priority. The results of this study showed that green spaces, wasteland and open spaces for the operation of temporary housing top rated to account for victims. }, URL = {http://geographical-space.iau-ahar.ac.ir/article-1-1563-en.html}, eprint = {http://geographical-space.iau-ahar.ac.ir/article-1-1563-en.pdf}, journal = {Geographical Space}, doi = {}, year = {2017} }