A MCDM Based on Goal Programming and GIS-Based Risk Assessment for the Evaluation of Educational Locations in Conflict Areas

• Autorzy: Hallak Jamil , Polat Elifcan Göçmen

Identyfikatory

DOI

10.2478/fcds-2021-0022

• Języki publikacji: EN

Abstrakty

EN

Conflict is recognized as a major barrier in socio-economic development. In conflict situations, most sectors such as health, food, shelter and education are adversely affected. The provision of education services to conflict-affected children saves them from becoming a lost generation and contributes to community building. Thus, we conducted this research to investigate the potential of a GIS (Geographic Information Systems) approach and risk assessment based multi-criteria decision making (MCDM) for the allocation of displaced dropped-out children to the most appropriate educational centres, taking into account multiple goals related to cost, distance, risk, etc. A two-stage approach was adopted, utilizing a risk assessment approach, and a location-allocation approach. The risk assessment approach was carried out using GIS and F-AHP (Fuzzy Analytic Hierarchy Process) to determine the risk value of each candidate educational centre in the conflict area. In the location-allocation stage, a mathematical model was developed to allocate all demands to the chosen centres. All presented methods were computationally conducted on real case data provided by direct beneficiaries and stakeholders in the 26 sub-districts in the Idleb governorate, Syria. The computational results demonstrate that the proposed approaches ensure practical and theoretical impacts.

Słowa kluczowe

EN

conflict; risk assessment; geographic information system; GIS; mathematical model; fuzzy analytic hierarchy process; F-AHP

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2021
• Tom: Vol. 46, No. 4
• Strony: 361--391
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Hallak Jamil

• Industrial Engineering Department, Cukurova University, Adana, Turkey

• https://orcid.org/0000-0001-5975-4075

autor

Polat Elifcan Göçmen

• Department of Industrial Engineering, Munzur University, Tunceli, Turkey

• https://orcid.org/0000-0002-0316-281X

Bibliografia

• [1] Aburas, R., Najeeb, A., Baageel, L., Mackey, T.K. The Syrian conflict: a case study of the challenges and acute need for medical humanitarian operations for women and children internally displaced persons. BMC Medicine, 16(1): 65, 2018.
• [2] Al Garni, H.Z., Awasthi, A. Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Applied Energy, 206, 2017, 1225-1240.
• [3] Al-Sabbagh, T.A. GIS location-allocation models in improving accessibility to primary schools in Mansura city-Egypt. GeoJournal, 2020, 1-18.
• [4] Alkaradaghi, K., Ali, S.S., Al-Ansari, N., Laue, J., Chabuk, A. Landfill site selection using MCDM methods and GIS in the Sulaimaniyah governorate, Iraq. Sustainability, 11(17): 4530, 2019.
• [5] Asakereh, A., Omid, M., Alimardani, R., Sarmadian, F. Developing a GIS-based fuzzy AHP model for selecting solar energy sites in Shodirwan region in Iran. International Journal of Advanced Science and Technology, 68, 2014, 37-48.
• [6] Aydi, A., Zairi, M., Dhia H.B. Minimization of environmental risk of landfill site using fuzzy logic, analytical hierarchy process, and weighted linear combination methodology in a geographic information system environment. Environmental Earth Sciences, 68(5): 2013, 1375-1389.
• [7] Baykasoglu, A., Durmusoglu, Z.D.A hybrid MCDM for private primary school assessment using DEMATEL based on ANP and fuzzy cognitive map. International Journal of Computational Intelligence Systems, 7(4): 2014, 615-635.
• [8] Buckley, J.J. Ranking alternatives using fuzzy numbers. Fuzzy Sets and Systems 15(1): 1985, 21-31.
• [9] Denekos, S.N., Koutsoukis, N.S., Fakiolas, E.T., Konstantopoulos, I., & Rachaniotis, N. P. Siting refugee camps in mainland Greece using geographic information systems-based multi-criteria decision-making. Journal of Humanitarian Logistics and Supply Chain Management, 2021.
• [10] Erdin, C., Akbaş, H.E. A comparative analysis of fuzzy topsis and geographic information systems (GIS) for the location selection of shopping malls: A case study from Turkey. Sustainability 11(14): 2019, 3837.
• [11] Gul, M., Guneri, A.F. Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications. Mathematical Problems in Engineering, 2021.
• [12] Ibrahim, E.H., Mohamed, S.E., Atwan, A.A. Combining fuzzy analytic hierarchy process and GIS to select the best location for a wastewater lift station in El-Mahalla El-Kubra, North Egypt. International Journal of Engineering & Technology 11(5): 2011, 44-50.
• [13] Junian, J., Azizifar, V. The evaluation of temporary shelter areas locations using geographic information system and analytic hierarchy process. Civil Engineering Journal, 4(7), 2018, 1678-1688.
• [14] Kabak, M., Erbaş, M., Çetinkaya, C., Özceylan, E. A GIS-based MCDM approach for the evaluation of bike-share stations. Journal of Cleaner Production 201, 2018, 49-60.
• [15] Lin, M., Huang, C., Xu, Z. MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable Cities and Society 53, 2020, 101873.
• [16] Messaoudi, D., Settou, N., Negrou, B., Settou, B. GIS based multi-criteria decision making for solar hydrogen production sites selection in Algeria. International Journal of Hydrogen Energy, 44(60), 2019, 31808-31831.
• [17] Pourahmad, A., Hosseini, A., Banaitis, A., Nasiri, H., Banaitienė, N., Tzeng, G. H. Combination of fuzzy-AHP and DEMATEL-ANP with GIS in a new hybrid MCDM model used for the selection of the best space for leisure in a blighted urban site. Technological and Economic Development of Economy, 21(5): 2015, 773-796.
• [18] Rahman, M., Chen, N., Islam, M.M., Dewan, A., Pourghasemi, H.R., Washakh, R.M.A., Ahmed, N. Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh. Geoscience Frontiers, 12(3), 2021, 101095.
• [19] Rezaur Rahman, N.S.M., Chowdhury, M.A.A., Firoze, A., Rahman, R.M. Fusion of BWM and AHP MCDM Methods to Choose the Most Suitable Secondary School for an Individual in the Context of Bangladesh. Vietnam Journal of Computer Science, 2019, 1-18.
• [20] Roh, S.Y., Jang, H.M., Han, C.H. Warehouse location decision factors in humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 29(1), 2013, 103-120.
• [21] Saaty, L.T. 1990. How to make decision. The analytic hierarchy process. European Journal of Operational Research 48, 1990, 9-26.
• [22] Timperio, G., Panchal, G.B., Samvedi, A., Goh, M., De Souza, R. Decision support framework for location selection and disaster relief network design. Journal of Humanitarian Logistics and Supply Chain Management, 2017.
• [23] Tsaur, S.H., Chiu, Y.C., & Huang, C.H. Determinants of guest loyalty to international tourist hotels-a neural network approach. Tourism Management, 23(4): 2002, 397-405.
• [24] Uslu, A., Kiziloglu, K., Isleyen, S.K., Kahya, E. Geographic Information System-Based AHP-TOPSIS Approach for School Site Selection: A Case Study for Ankara, Politeknik Dergisi, 20(4): 2017, 933-943.
• [25] The United Nations (UN) Report. 2019. Humanitarian needs overview.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).