A Comparative Study on Site Selection Methods for Modeling Hospital Locating in Urban Area, A Case Study in Iran

Fang-yu, Fu; Qelichi, Mohamad Molaei; Namjooyan, Farrokh; Asadi, Ahmad

doi:10.1007/978-3-031-10545-6_37

Cited by 2 publications

(4 citation statements)

References 18 publications

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“…Year Location Applied Methods [40] 2023 Chile Delphi, BWM, and EAMR [46] 2022 Iran GIS, Fuzzy Logic, and AHP [26] 2022 Egypt GIS and AHP [4] 2022 Iran GIS, CRITIC, SE, SDT, and OWA [24] 2022 India GIS and AHP [42] 2021 Turkey GIS, fuzzy AHP, and TOPSIS [41] 2021 Turkey Delphi, BWM, and fuzzy TOPSIS [23] 2019 Turkey AHP [45] 2016 India fuzzy ELECTRE [44] 2010 China ANP and TOPSIS [43] 2009 Iran GIS and fuzzy AHP…”

Section: Referencementioning

confidence: 99%

“…DEHHospital site should be far from existing hospitals. The site's suitability increases as the DEH increases [4,24,26,[41][42][43]45,46]. DMR Hospital site should be near to main roads.…”

mentioning

confidence: 99%

“…DGS Hospital site should be near to dense vegetation. The site's suitability increases as the DGS decreases [4,24,46]. DIA Hospital site should be far from industrial areas.…”

mentioning

confidence: 99%

“…DEC Hospital site should be far from educational centers (preschool and primary schools). The site's suitability increases as the DEC increases [24,45,46]. DFS Hospital site should be near to fire stations.…”

mentioning

confidence: 99%

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GIS-Enabled Multi-Criteria Assessment for Hospital Site Suitability: A Case Study of Tehran

Zandi,

Pahlavani,

Bigdeli

et al. 2024

Sustainability

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In developing countries, the interaction between rapid urban expansion and population growth brings forth a host of challenges, particularly concerning essential services like healthcare. While interest in site suitability analysis for identifying optimal hospital locations to ensure equitable and secure healthcare access is on the rise, the absence of a holistic study that encompasses social and environmental aspects in the assessment of hospital site suitability is evident. The objective of this research is to introduce a hybrid methodology that combines Geographic Information Systems (GIS) with Multi-Criteria Decision-Making (MCDM) weighting methods. This methodology aims to create hospital site suitability maps for districts 21 and 22 in Tehran, taking into account socio-environmental factors. In addition to the conventional Analytical Hierarchical Process (AHP) weighting method, this study employs two relatively less-explored methods, the Best-Worst Method (BWM) and Step-wise Weight Assessment Ratio Analysis (SWARA), to enhance the analysis of hospital site suitability. In the SWARA method, there are minimal variations in weights among criteria, indicating that all socio-environmental factors (e.g., distance from existing hospitals, distance from main roads, distance from green spaces) hold significant importance in the decision-making process. Additionally, the findings indicate that the western part of the study area is the most suitable location for the construction of a new hospital. To achieve the average hospital bed availability in Tehran, an additional 2206 beds are required in the studied area, in addition to the existing facilities. Considering the ongoing urban development, population growth, and the potential for natural disasters and epidemics, it becomes essential to enhance the healthcare system by increasing the number of hospitals and available hospital beds. The sensitivity analysis showed that GIS-based SWARA-WLC was the most suitable and stable model for determining hospital site suitability in the study area. This methodology can be adapted for use in other regions and further improved by incorporating additional criteria. In conclusion, the study recommended three specific alternative sites for establishing a new hospital in the study area.

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Section: Referencementioning

confidence: 99%

“…DEHHospital site should be far from existing hospitals. The site's suitability increases as the DEH increases [4,24,26,[41][42][43]45,46]. DMR Hospital site should be near to main roads.…”

mentioning

confidence: 99%

“…DGS Hospital site should be near to dense vegetation. The site's suitability increases as the DGS decreases [4,24,46]. DIA Hospital site should be far from industrial areas.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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