An AHP-based GIS for a New Hospital Site Selection in the Kirkuk Governorate

Ajaj, Qayssar Mahmood; Shareef, Muntadher Aidi; Jasim, Abed T.; Hasan, Sumaya Falih; Noori, Abbas Mohammed; Hassan, Nihad Davut

doi:10.1109/iceccpce46549.2019.203769

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…In terms of accessibility, the data considered are rivers, DEM, roads, railways, health facility points, and populations. River parameters will be considered locations with a considerable distance from the river Ajaj et al, (2019) to ensure that the pollution of health facility waste does not pollute river waters. Not only rivers but the construction of health facilities must also be far from protected areas.…”

Section: Accessibility Aspect Modelingmentioning

confidence: 99%

Multi-Scenario Spatial Modeling of Health Facilities Development to Support the Achievement of Universal Health Coverage

Anggraini

Anantri

Pratama

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The availability of health facilities that the community can easily reach is one way to improve the degree of health of residents in a region. The ratio of the number of health facilities and residents in Indonesia is currently only about 1:11000. In addition, the equalization of health facilities in Indonesia is also reasonably uneven because the number of health facilities is more centralized in Java, Indonesia. The transfer of the New Capital of Indonesia launched in 2024 to the island of Kalimantan makes Kalimantan Island a magnet for new people's lives, so it needs to be considered infrastructure development, especially in the health sector. This research attempts to model the conformity of health facilities development on the island of Kalimantan spatially by considering the aspect of accessibility as support and comfort and disaster aspects as a barrier. The accessibility aspect will consider geographical and social criteria, the comfort aspect will consider the criteria for air pollution and noise pollution, and the disaster aspect will consider the criteria for floods, landslides, and forest fires. The integration of Geographic Information Systems and Remote Sensing Technology will be carried out using Multi-Criteria Decision Analysis (MCDA). This study will produce recommendations for the appropriate area for the construction of health facilities on the island of Kalimantan. This study is expected to be a consideration for authorized parties in planning health facilities on the island of Kalimantan in preparation for becoming the Capital of the New Country in Indonesia.

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Section: Accessibility Aspect Modelingmentioning

confidence: 99%

Multi-Scenario Spatial Modeling of Health Facilities Development to Support the Achievement of Universal Health Coverage

Anggraini

Anantri

Pratama

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Saaty developed the AHP to make the decision-making process more successful (Saaty, 2004). According to Saaty (Saaty, 2004), the analytic hierarchy process is a decision mechanism that humans use instinctively when faced with a decision-making challenge (Ajaj et al, 2019). This mechanism is not taught to humans, but it has existed since their inception.…”

Section: Figure 3: Criteria and Preference Factorsmentioning

confidence: 99%

“…For the AHP method, pairwise comparisons were made between the criteria and the weights of the criteria in the site selection analysis were determined. In order to compare the significance of factors to each other or how dominant they are over each other by considering the criteria or properties, we need scaled numbers that indicate this (Ajaj et al, 2019).…”

Section: Figure 3: Criteria and Preference Factorsmentioning

confidence: 99%

“…As a consequence of this research, the highest sutibility index has been observed along the main road that runs northsouth, as they are remote from water resources and forest areas and have good transit connections. In the study named "An AHP-based GIS for a New Hospital Site Selection in the Kirkuk Governorate" conducted by (Ajaj et al, 2019), the suitability index between 0.164 and 0.252 is low, between 0.252 and 0.296 is medium, between 0.296 and 0.458 is high and 0.458. -0.538 are designated as very high level suitable.…”

Section: Figure 5: Exclusion Analysismentioning

confidence: 99%

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Sürdürülebilir Planlama Kapsamında Hastaneler İçin AHP VE CBS Tabanlı Çok Kriterli Yer Seçimi Yaklaşımı– Aliağa, İzmir

Sütçüoğlu

Yalçinkaya

2021

JENAS Journal of Environmental and Natural Studies

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Hospitals are one of the most important public amenities in cities. The location of hospitals is critical for residents' accessibility, as is the case with all other public amenities. However; most of the public amenities such as parks, and schools provide services at neighborhood scale, hospitals serve the entire city. Therefore, deciding where to locate a hospital is a complex issue that requires consideration of various criteria. The purpose of this study is to create a multicriteria-spatial decision support model for selecting the optimal hospital sites, taking into account accesibility, environmental, and topographic aspects. Consequently, a fuzzy multi-criteria-spatial decision support model was created for the Aliağa district of İzmir province, by combining analytic hierarchy process and geographic information system.

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“…The integration of MCDM methods and GIS enables the manipulation and presentation of spatial data, providing effective ranking of alternatives based on multiple criteria (Sara & Abbas, 2014), as well as reducing errors and increasing the efficiency of the decision-making process (Eghtesadifard, Afkhami, & Bazyar, 2020). Some researchers have identified areas suitable for the site selection of healthcare facilities in the study areas based on GIS (Ajaj et al, 2019;Dell'Ovo, Capolongo, & Oppio, 2018;Dulin et al, 2010;Halder, Bandyopadhyay, & Banik, 2020), but did not prioritize suitable locations for site selection, leading to decision-makers' own judgment for selection. Zolfani, Yazdani, Torkayesh, and Derakhti (2020), Adali and Tus (2021), and Yilmaz and Atan (2021) used the MCDM method to identify the ranking of the advantages and disadvantages of healthcare facility site alternatives based on the corresponding criteria but lacked a basis for selection when determining the site alternatives.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive evaluation method for the site selection of new healthcare facilities in geological hazard-prone areas

Cai

et al. 2023

Front. Earth Sci.

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Healthcare facilities in geological hazard-prone areas not only are responsible for local basic medical services but also are the main provider of hazard emergency rescue work. The selection of their sites is further complicated by the need to consider both the equalization of regional medical services and resource allocation and the impact of geological hazards on site safety. Shimian County in Sichuan Province, a geological disaster-prone area, was chosen as the study area. First, suitability analysis of the construction land was used to determine the site alternatives for new healthcare facilities, and an evaluation index system of construction land suitability consisting of geological hazard susceptibility, slope and aspect was established. Then, the suitability was evaluated by the Ordered Weighted Averaging (OWA) operator, and the Analytic Hierarchy Process (AHP) and the quantitative method of Regular Increasing Monotone (RIM) were used to calculate the criterion weights and order weights in the Ordered Weighted Averaging operator respectively. The suitability results were classified into five levels: high, moderate, average, barely suitable, and unsuitable. Twelve site alternatives were identified in the highly and moderately suitable areas. Finally, a comprehensive evaluation index system consisting of indices such as construction land suitability and medical service accessibility was established, the PROMETHEE II method was conducted to comprehensively evaluate the site alternatives, and ranked results for the 12 site alternatives were obtained. These ranked results were analyzed by subindexes and Graphical Analysis for Interactive Aid (GAIA) to obtain a score for each alternative index and its similarity to the alternative, which could significantly help decision-making. This study achieves reasonable and scientific site selection for healthcare facilities in geological hazard-prone areas, and the results can provide references for relevant decision-makers.

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An AHP-based GIS for a New Hospital Site Selection in the Kirkuk Governorate

Cited by 12 publications

References 17 publications

Multi-Scenario Spatial Modeling of Health Facilities Development to Support the Achievement of Universal Health Coverage

Multi-Scenario Spatial Modeling of Health Facilities Development to Support the Achievement of Universal Health Coverage

Sürdürülebilir Planlama Kapsamında Hastaneler İçin AHP VE CBS Tabanlı Çok Kriterli Yer Seçimi Yaklaşımı– Aliağa, İzmir

A comprehensive evaluation method for the site selection of new healthcare facilities in geological hazard-prone areas

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