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Citation Information

Type Journal Article - Hospital
Title Proper site selection of urban hospital using combined techniques of MCDM and Spatial analysis of GIS (Case study: region 7 in Tehran city)
Author(s)
Volume 12
Issue 2
Publication (Day/Month/Year) 2013
Page numbers 9-18
URL http://jhosp.tums.ac.ir/files/site1/user_files_3a8173/eng/tums-A-10-25-5013-c77858f.pdf
Abstract
Background: In Iran, the rapid growth of urbanization is in a way that it fits into the appropriate
location for urban spaces are not switching. The main consequence of this is failure of service delivery
and service system to citizens. One of the most important public services that hospitals provide most of
the citizens' health. The purpose of this study, “Optimal locating of hospitals in region 7 in Tehran
city”.

Material and methods: This research is descriptive - analytical study has been done. For collecting
information and data is used field studies and According to information obtained, To review the study
area in terms of access to communication road, green space, away from industrial centers, military, and
the fault, as well as for weighting the criteria, is used the AHP model. Then, using a decision model of
TOPSIS in GIS software, valuation of criteria has been studied and appropriate maps is prepared,
finally map that represents the best location for the construction of hospitals in this area is extracted.
Results: with combination and overlaying of data layers, the final map was obtained and determined
that the northeastern section (Cross Resalat Street and cabli), central (martyr Motahari streets and
Miremad) and southeast (Bakhshi fard and part of Damavand street) in district 7 are have priority and
more points to construct hospitals.

Conclusion: System of Multi Criteria Decision Making (MCDM) with GIS can be used as effective
tool in site selection of hospitals. Being located of hospitals, near to green spaces and comunication
road and its distance from the industrial and military areas as well as the fault, capability of this model
in this study is prove.

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