OPTIMAL SITE SELECTION OF A PANDEMIC HOSPITAL USING MULTI-CRITERIA DECISION-MAKING APPROACH

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Published Mar 25, 2022
Gökhan Ağaç İsmail Şimşir

Abstract

The COVID-19 pandemic has spread rapidly and affected the whole world. During the process of combating the pandemic, it has become apparent that some physical infrastructures such as intensive care units have been insufficient to meet the current demand. The aim of this study is to select the optimal location for a pandemic hospital and determine the critical factors affecting the selection. The Analytical Hierarchy Process approach is implemented in the study with 27 criteria used to evaluate the alternatives. The data of the study are collected from 23 experts. The result of the analysis proposes the optimal location to establish a pandemic hospital. In addition, the three most important criteria that affect the location selection of the pandemic hospital are Risk, Accessibility, and Opportunities and threats, respectively. Moreover, the results of the sensitivity analysis show that the outputs of the proposed model are robust. A location selection problem for a pandemic hospital was addressed and the factors affecting the location selection are discussed in this study. The proposed model is expected to be a guide for health policymakers, healthcare managers, and public and private investment decision-makers as a decision support system.

How to Cite

Ağaç, G., & Şimşir, İsmail. (2022). OPTIMAL SITE SELECTION OF A PANDEMIC HOSPITAL USING MULTI-CRITERIA DECISION-MAKING APPROACH. International Journal of the Analytic Hierarchy Process, 14(1). https://doi.org/10.13033/ijahp.v14i1.946

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Keywords

pandemic hospital, location selection, covid-19, analytical hierarchy process, multi-criteria decision-making

References
Adalı, E. A., & Tuş, A. (2019). Hospital site selection with distance-based multi-criteria decision-making methods. International Journal of Healthcare Management, 0(0), 1–11. https://doi.org/10.1080/20479700.2019.1674005

AFAD. (2021). Disaster Maps. Retrieved February 1, 2021, from https://www.afad.gov.tr/afet-haritalari

Al-Shabeeb, A. R., Al-Adamat, R., & Mashagbah, A. (2016). AHP with GIS for a preliminary site selection of wind turbines in the North West of Jordan. International Journal of Geosciences, 7(10), 1208.

Alkan, N., & Kahraman, C. (2021). Circular intuitionistic fuzzy topsis method: pandemic hospital location selection. Journal of Intelligent & Fuzzy Systems, Preprint(Preprint), 1–22. https://doi.org/10.3233/JIFS-219193

AQI. (2021). National Air Quality Monitoring Network. Retrieved February 1, 2021, from http://index.havaizleme.gov.tr/Index?stations=71,158,159

Aydin, N., & Seker, S. (2021). Determining the location of isolation hospitals for COVID-19 via Delphi-based MCDM method. International Journal of Intelligent Systems, 36(6), 3011–3034.

Bhushan, N., & Rai, K. (2004). Strategic Decision Making: Applying the Analytic Hierarchy Process (1st ed.). London: Springer-Verlag London.

Boyacı, A. Ç., & Şişman, A. (2021). Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets. Environmental Science and Pollution Research 2021, 1–13. https://doi.org/10.1007/S11356-021-15703-7

Chatterjee, D., & Mukherjee, B. (2013). Potential hospital location selection using AHP: a study in rural India. International Journal of Computer Applications, 71(17).

Chiu, J.-E., & Tsai, H.-H. (2013). Applying analytic hierarchy process to select optimal expansion of hospital location: The case of a regional teaching hospital in Yunlin. In 2013 10th International Conference on Service Systems and Service Management (pp. 603–606). IEEE.

Colak, H. E., Memisoglu, T., & Gercek, Y. (2020). Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey. Renewable Energy, 149, 565–576.

CSSE. (2021). Center For Systems Science and Engineering at JHU. Retrieved May 4, 2020, from https://systems.jhu.edu/

GDM. (2021). General Directorate of Mapping. Retrieved January 10, 2021, from https://www.harita.gov.tr/english/

Gul, M., & Guneri, A. F. (2021). Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications. Mathematical Problems in Engineering, 2021, 1–14. https://doi.org/10.1155/2021/6682958

Jalaliyoon, N., Arastoo, A., & Pirouti, A. (2015). Land selection: using multiple criteria decision making. International Journal of Academic Research in Management (IJARM), 4(1), 14–23.

Kumar, P., Singh, R. K., & Sinha, P. (2016). Optimal site selection for a hospital using a fuzzy extended ELECTRE approach. Journal of Management Analytics, 3(2), 115–135.

Lin, C. T., & Tsai, M. C. (2010). Location choice for direct foreign investment in new hospitals in China by using ANP and TOPSIS. Quality and Quantity, 44(2), 375–390.

Oppio, A., Buffoli, M., Dell’Ovo, M., & Capolongo, S. (2016). Addressing decisions about new hospitals’ siting: a multidimensional evaluation approach. Annali Dell’Istituto Superiore Di Sanita, 52(1), 78–87.

Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill.

Saaty, T. L. (1984). The analytic hierarchy process: decision making in complex environments. In Quantitative assessment in arms control : mathematical modeling and simulation in the analysis of arms control problems (pp. 285–308). New York: Plenum Press.

Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.

Şahin, T., Ocak, S., & Top, M. (2019). Analytic hierarchy process for hospital site selection. Health Policy and Technology, 8(1), 42–50.

Sen, H. (2017). Hospital location selection with ARAS-G. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 1(1), 359–365.

Şen, H., & Demiral, M. F. (2016). Hospital Location Selection with Grey System Theory. European Journal of Economics and Business Studies, 5(1), 66.

Senvar, O., Otay, I., & Bolturk, E. (2016). Hospital Site Selection via Hesitant Fuzzy TOPSIS. IFAC-PapersOnLine, 49(12), 1140–1145.

Soltani, A., & Marandi, E. Z. (2011). Hospital site selection using two-stage fuzzy multi-criteria decision making process. Journal of Urban and Environmental Engineering, 5(1), 32–43.

Triantono, H. B., & Susetyarto, M. B. (2017). Technical use of analytical hierarchy process and Delphi method in determining terminal location multi function of Merak Port. In 2017 International Conference on Information Management and Technology (ICIMTech) (pp. 350–355). IEEE.

TURKSTAT. (2021). Turkey Statistical Institute. Retrieved January 10, 2021, from https://www.tuik.gov.tr/

Vahidnia, M. H., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048–3056.

WHO. (2020a). Virtual press conference on COVID-19 – 11 March 2020.

WHO. (2020b). WHO Coronavirus Disease (COVID-19) Dashboard. Retrieved December 06, 2021, from https://covid19.who.int/table

Wu, C. R., Lin, C. T., & Chen, H. C. (2007). Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis. Building and Environment, 42(3), 1431–1444.

Yang, J., & Lee, H. (1997). An AHP decision model for facility location selection. Facilities, 15(9/10), 241–254.

Yap, J. Y. L., Ho, C. C., & Ting, C.-Y. (2019). A systematic review of the applications of multi-criteria decision-making methods in site selection problems. Built Environment Project and Asset Management, 9(4), 548–563.

Zolfani, S. H., Yazdani, M., Torkayesh, A. E., & Derakhti, A. (2020). Application of a gray-based decision support framework for location selection of a temporary hospital during COVID-19 pandemic. Symmetry, 12(6).
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