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Journals / Politeknik Dergisi / 2026 / Cilt: 29 Sayı: 5

Determination of An Airport As A Regional Distribution Centre Within The Scope Of Disaster Logistics

Afet Lojistiği Kapsamında Bir Havalimanının Bölgesel Dağıtım Merkezi Olarak Belirlenmesi

Beste Desticioğlu Taşdemir(MİLLİ SAVUNMA ÜNİVERSİTESİ, ALPARSLAN SAVUNMA BİLİMLERİ ENSTİTÜSÜ, HAREKAT ARAŞTIRMASI ANABİLİM DALI)0000-0001-8321-4554
Merve Tosya(MİLLİ SAVUNMA ÜNİVERSİTESİ, ALPARSLAN SAVUNMA BİLİMLERİ ENSTİTÜSÜ, HAREKAT ARAŞTIRMASI ANABİLİM DALI)0009-0005-9195-9536
Merve Asiloğulları Ayan(MİLLİ SAVUNMA ÜNİVERSİTESİ, ALPARSLAN SAVUNMA BİLİMLERİ ENSTİTÜSÜ, SAVUNMA YÖNETİMİ ANABİLİM DALI)0000-0001-7522-0911
Pages
1–15
Publication Date
2026-10-06
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicate that the suggested fuzzy multi-criteria decision-making framework facilitates a more methodical, robust, and transparent assessment of different distribution centers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Large-scale earthquakes, in particular, reveal critical vulnerabilities in transportation infrastructure and coordination mechanisms, significantly constraining the effectiveness of humanitarian response operations.
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Key Findings & Data:In such circumstances, airports play a strategic role as hubs for air based humanitarian aid distribution.
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Conclusion & Impact:The results indicate that the suggested fuzzy multi-criteria decision-making framework facilitates a more methodical, robust, and transparent assessment of different distribution centers.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:PFAHP · PFTOPSIS · Afet lojistiği

Abstract

Large-scale earthquakes, in particular, reveal critical vulnerabilities in transportation infrastructure and coordination mechanisms, significantly constraining the effectiveness of humanitarian response operations. When highways, railways, and airports are disrupted, disaster logistics becomes even more challenging. In such circumstances, airports play a strategic role as hubs for air based humanitarian aid distribution. However, the absence of a structured and criteria driven airport selection process may lead to inefficient resource utilization, operational bottlenecks, and diminished response performance due to infrastructural and environmental limitations. This study investigates the selection of an airport to function as distribution center for air-delivered humanitarian aid in a post-disaster context. Methodologically, the study applies an integrated PFAHP and PFTOPSIS to evaluate candidate airports under conditions of uncertainty and ambiguity. The results indicate that the suggested fuzzy multi-criteria decision-making framework facilitates a more methodical, robust, and transparent assessment of different distribution centers. A sensitivity analysis is conducted to assess the stability and reliability of the results. This study enhances the disaster management literature by providing a structured technique for airport-based catastrophe logistics planning, thereby improving decision-making quality in high-uncertainty, high-impact disaster scenarios.

Özet

Özellikle büyük depremler, ulaşım altyapısı ve koordinasyon mekanizmalarındaki eksiklikleri ortaya çıkararak insani yardım operasyonlarının etkinliğini önemli ölçüde kısıtlamaktadır. Karayolları, demiryolları ve havaalanları Zarar gördüğünde, afet lojistiği daha da zorlaşmaktadır. Bu gibi durumlarda, havaalanları hava yoluyla insani yardım dağıtımı için stratejik bir merkez rolü oynamaktadır. Bununla birlikte, önceden planlanmış ve kriterlere dayalı olarak havaalanı seçiminin yapılmaması, altyapısal ve çevresel sınırlamalar nedeniyle verimsiz kaynak kullanımına, operasyonel darboğazlara ve yapılacak müdahalelerde gecikmelere yol açabilmektedir. Bu yüzden bu çalışmada, afet sonrasında hava yoluyla teslim edilmesi planlanan insani yardım malzemeleri için dağıtım merkezi olarak hizmet verecek havaalanı seçimi yapılmıştır. Havaalanı seçim sürecinde belirsizlik ve değişkenlik altında aday havaalanlarını değerlendirildiği için entegre Pisagor Bulanık Analitik Hiyerarşi Süreci (PFAHP) ve İdeal Çözüme Benzerliğe Göre Sıralama Tercihi için Pisagor Bulanık Tekniği (PFTOPSIS) yöntemleri uygulanmıştır. Bulgular, önerilen bulanık çok kriterli karar verme çerçevesinin, alternatif dağıtım merkezlerinin daha sistematik, sağlam ve şeffaf bir şekilde değerlendirilmesini sağladığını göstermektedir. Sonuçların istikrarını ve güvenilirliğini değerlendirmek için bir duyarlılık analizi yapılmıştır. Bu çalışma havaalanı tabanlı afet lojistik planlaması için yapılandırılmış bir metodoloji sunarak, yüksek belirsizlik ve yüksek etkili afet senaryolarında karar verme kalitesini artırarak afet yönetimi literatürüne katkıda bulunmaktadır.

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Cite This Article

Taşdemir, B. D., Tosya, M., Ayan, M. A. (2026). Determination of An Airport As A Regional Distribution Centre Within The Scope Of Disaster Logistics. Politeknik Dergisi, Cilt: 29 Sayı: 5, 1–15. https://doi.org/10.2339/politeknik.1952074

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References (62)

  1. U.S. Geological Survey (USGS) “Earthquake Hazards Program”. https://earthquake.usgs.gov/ Last Accessed: 5 September 2025. (2023).
  2. Thomas, A. and Mizushima, M. “Logistics training: necessity or Luxury”, Forced migration review, 22(22): 60-61, (2005).
  3. Van Wassenhove, L.N. “Humanitarian aid logistics: supply chain management in high gear”, J. Oper. Res. Soc., 57(5): 475-489, (2006).
  4. Altay, N., Prasad, S., and Sounderpandian, J. “Strategic planning for disaster relief logistics: lessons from supply chain management”, International Journal of Services Sciences, 2(2): 142-161, (2009).
  5. Tezcan, B., Alakaş, H.M., Özcan, E. and Eren, T. “Post-disaster temporary storage location selection and multi-vehicle vehicle routing application: an case in Kirikkale province”, Journal of Politechnic, 26(1): 13-27, (2021).
  6. Demir, A. Celebi, E., Ozturk, H., Ozcan, Z., Ozocak, A., Bol, E.,. and Mert, N. “Destructive impact of successive high magnitude earthquakes occurred in Türkiye’s Kahramanmaraş on February 6, 2023”, Bull. Earthquake Eng., 23: 893-919, (2025).
  7. Desticioğlu Taşdemir, B. “Disaster Logistics Warehouse Location Selection: An Application for Ankara Province.” GUJS Part C., 12(3): 511-524, (2024).
  8. Chen, T., Wu, S., Yang, J. and Cong, G. “Risk propagation model and its simulation of emergency logistics network based on material reliability.” Int. J. Environ. Res. Public Health, 16(23): 4677, (2019).
  9. Liao, H., Holguín-Veras, J. and Calderón, O. “Comparative analysis of the performance of humanitarian logistic structures using agent-based simulation.” Socio-Economic Planning Sciences, 90: 101751, (2023).
  10. Koç Ustalı, N., Tekin M, Toraman Y. and Merdivenci F., “Küresel Risk Yönetim İndeksi Değerlendirmesi: Gri Tabanlı TOPSİS Yöntemi Uygulaması”, Journal of Polytechnic, 27(5): 18751888, (2024).
  11. Lin, Y., Xiang, Y., Yin, H. and Chen, Z. “Selection of emergency logistics facility locations considering major natural disasters in mountainous cities based on GIS-MCDM”, Scientific Reports, 16(1): 11634, (2026).
  12. Yılmaz, H. and Kabak, Ö. “Prioritizing distribution centers in humanitarian logistics using type-2 fuzzy MCDM approach”, Journal of Enterprise Information Management, 33(5): 1199-1232, (2020).
  13. Kara, M. and Eren, T. “Hasar Tespit Çalışmalarında Görevlendirilebilecek Dronların Bulanık Karar Verme Yöntemleri ile Değerlendirilmesi”, Journal of Polytechnic, 27(5): 2029–2041, (2024).
  14. Faiz, T.I., Vogiatzis, C., Liu, J. and Noor‐E‐Alam, M. “A robust optimization framework for two‐echelon vehicle and UAV routing for post‐disaster humanitarian logistics operations”, Networks, 84(2), 200-219, (2024).
  15. Danach, K., Harb, H., Saker, L.and Raad, A. “Quantum-inspired hyperheuristic framework for solving dynamic multi-objective combinatorial problems in disaster logistics”, World Electric Vehicle Journal, 16(6): 310, (2025).
  16. Ocal, F. E. and Torun, S. “Leveraging artificial intelligence for enhanced disaster response coordination”, International Journal of Disaster Risk Management, 7(1): 235-246, (2025).
  17. Abdulrashid, I., Khalafalla, M., Kadiyala, N. S. and Chiang, W. C. “AI-driven decision support for disaster management and humanitarian logistics: Models, applications, and research challenges”, Transportation Research Part E: Logistics and Transportation Review, 210: 104821, (2026).
  18. Timperio, G., Panchal, G. B., Samvedi, A., Goh, M. and De Souza, R. Decision support framework for location selection and disaster relief network design. Journal of Humanitarian Logistics and Supply Chain Management, 7(3): 222-245, (2017).
  19. Munyaka, J.C.B. and Yadavalli, V.S.S. “Decision support framework for facility location and demand planning for humanitarian logistics”, Int J Syst Assur Eng Manag, 12: 9–28, (2021).
  20. Chu, J. and Su, Y. “Comprehensive Evaluation Index System in the Application for Earthquake Emergency Shelter Site”, Advanced Materials Research, 156-157: 79-83, (2011).
  21. Chanta, S. and Sangsawang, O. “Shelter-site selection during flood disaster”, Lecture Notes in Management Science, 4: 282-288, (2012).
  22. Chu, J. and Su, Y. “The application of TOPSIS method in selecting fixed seismic shelter for evacuation in cities”, Syst. Eng. Procedia, 3: 391-397, (2012).
  23. Chen, Z., Chen, X., Li, Q. and Chen, J. “The temporal hierarchy of shelters: a hierarchical location model for earthquake-shelter planning”, International Int. J. Geogr. Inf. Sci. 27(8): 1612-1630, (2013).
  24. Nappi, M.M.L. and Souza, J.C. “Disaster management: hierarchical structuring criteria for selection and location of temporary shelters”, Nat. Hazard, 75(3): 2421-2436, (2015)
  25. İlerisoy, Z., Gökgöz, B.İ. and Soyluk, A. “Selection of Emergency Shelter Areas Using Multi-Criteria Decision-Making Techniques: An Assessment of the Case of Erciş-Van Turkey”, Periodica Polytechnica Architecture,53(1): 23-34, (2022).
  26. Tianying, Z. and Furen, J. “Study on Establishing the Supporting System for Location of the Urgent Refuge”, Research of Soil and Water Conservation, 8(1): 17-23, (2001).
  27. Yi, W. and Ozdamar, L. “A dynamic logistics coordination model for evacuation and support in disaster response activities”, Eur. J. Oper. Res., 179(3): 1177–1193, (2007).
  28. Horner, M.W. and Downs, J.A. “Optimizing hurricane disaster relief goods distribution: model development and application with respect to planning strategies”, Disasters, 34(3): 821–844, (2010).
  29. Han, Y., Guan, X. and Shi, L. “Optimization based method for supply location selection and routing in large-scale emergency material delivery”, IEEE Trans. Autom. Sci. Eng., 8(4): 683–693, (2011).
  30. Erden, C., Ateş, Ç. and Esen, S. “Distribution center location selection in humanitarian logistics using hybrid BWM–ARAS: a case study in Türkiye”, Journal of Homeland Security and Emergency Management, 21(3): 383-415, (2024).
  31. Desticioglu Taşdemir, B. “Locating Emergency Stations Using Multi-Criteria Decision-Making (MCDM) Methods: Application of Ankara Province”, The Eurasia Proceedings of Science Technology Engineering and Mathematics, 28: 448-461, (2024).
  32. Ordonez, F., Dessouky, M.M. and Jia, H. “A Modeling Framework for Facility Location of Medical Services for Large-Scale Emergencies”, IIE Trans., 39(1): 41-55, (2005).
  33. Nebati, E.E. “Evaluation of Effective Factors for Medical Warehouse Site Selection in Disaster Management Process”, Journal of Academic Approaches, 15(1): 139-149, (2024).
  34. Atmaca, E., Aktaş, E. and Öztürk, H.N. “Evaluated Post-Disaster and Emergency Assembly Areas Using Multi-Criteria Decision-Making Techniques: A Case Study of Turkey” Sustainability, 15(10): 8350, (2023).
  35. Paz-Orozco, H., de Brito Junior, I., Chong, M., Anacona-Mopan, Y., Segura Dorado, J.A. and Moyano, M. “Earthquake Decision-Making tool for humanitarian logistics network: an application in Popayan, Colombia”, Logistics, 7(4): 68, (2023)
  36. Bayram, B. and Eren, T. “Post-Disaster Temporary Warehouse Site Selection with Multi-Criteria Decision Making Methods”, Emergency Aid and Disaster Science, 3(2): 22-30, (2023).
  37. Derse, O. “Warehouse Location Selection for Disaster Logistics with DEMATEL Based TOPSIS Method and Set Covering Model: A Case Study of Aegen Region”, Kahramanmaras Sutçu Imam University Int. J. Eng. Sci., 25(4):702-713. (2022)
  38. Oral, N., Yapıcı, S., Yumuşak, R. and Eren, T. “Selection of medicine warehouse and vaccine distribution center for sustainable supply chain management in the pandemic process”, Journal of Politechnic, 25(4): 1397-1409, (2021).
  39. Roh, S., Pettit, S., Harris, I. and Beresford, A. “The pre-positioning of warehouses at regional and local levels for a humanitarian relief organization”, Int. J. Prod. Econ., 170: 616-628, (2015).
  40. Ergün, M., Korucuk, S. and Memiş, S. “Optimum Disaster Warehouse Location Selection for Sustainable Disaster Logistics: Case of Giresun Province”, Çanakkale Onsekiz Mart University Journal of Graduate School of Natural and Applied Sciences, 6(1): 144-165, (2020).
  41. Öztürk, F. and Kaya, G.K. “Evaluation of the Post-Disaster Emergency Assembly Areas through the Use of PROMETHEE Method”, Uludağ University Journal of the Faculty of Engineering, 25(3):1239-1252, (2020).
  42. Hakim, R.T. and Kusumastuti, R.D. “A Model to Determine Relief Warehouse Location in East Jakarta Using the Analytic Hierarchy Process”, International Journal of Technology, 9(7): 1405-1414, (2018).
  43. Junian, J. and Azizifar, V. “The Evaluation of temporary shelter areas locations using geographic information system and analytic hierarchy process”, Civil Engineering Journal, 4(7): 1678-1688, (2018)
  44. Ofluoglu, A., Baki, B. and Ar, İ.M. “Multi-criteria Decision Analysis Model for Warehouse Location in Disaster Logistics”, Journal of Management Marketing and Logistics, 4(2): 89-106, (2017).
  45. Bulut, M. and Özcan, E. “Integration of battery energy storage systems into natural gas combined cycle power plants in fuzzy environment”, J. Energy Storage, 36: 102376, (2021).
  46. Özyörük, B., Desticioglu Taşdemir, B., Kumcu, S. and Karacaer, B. “Comparative analysis of internal hospital supply chain management performance with PFAHP and PFTOPSIS methods”, Journal of the Faculty of Engineering and Architecture of Gazi University, 40(4): 2839-2849, (2025).
  47. Bulut, M. and Özcan, E. “Ranking of advertising goals on social network sites by Pythagorean fuzzy hierarchical decision making: Facebook”, Eng. Appl. Artif. Intell., 117: 105542, (2023).
  48. Yürek, Y.T., Özyörük, B., Özcan, E. and Bulut, M. “Socio-political evaluation of renewable energy resources under uncertain environment”, Eng. Appl. Artif. Intell., 126:106881, (2023).
  49. Yager, R.R. “Pythagorean membership grades in multicriteria decision making”, IEEE Trans. Fuzzy Syst., 22(4): 958-965, (2013).
  50. Gul, M. and Ak, M.F. “A comparative outline for quantifying risk ratings in occupational health and safety risk assessment”, J. Cleaner Prod., 196: 653-664, (2018).
  51. Ilbahar, E., Karas, A., Cebi, S. and Kahraman, C. “A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system”, Saf. Sci., 103: 124–136, (2018).
  52. Zeng, S., Chen, J. and Li, X. “A hybrid method for Pythagorean fuzzy multiple-criteria decision making”, Int. J. Inf. Technol. Decis. Making, 15(2): 403-422, (2016).
  53. Desticioglu Tasdemir, B. and Asilogullari Ayan, M. “Sustainable Supplier Selection in the Defense Industry with Multi-criteria Decision-Making Methods” Advances in Intelligent Manufacturing and Service System Informatics. Lecture Notes in Mechanical Engineering Springer, Singapore, (2024).
  54. Aziz, N.F., Sorooshian, S. and Mahmud, F. “MCDM-AHP method in decision makings”, ARPN Journal of Engineering and Applied Sciences, 11(11): 7217-7220, (2016).
  55. Shih, H.S. “Incremental analysis for MCDM with an application to group TOPSIS”, Eur. J. Oper. Res., 186(2): 720-734, (2008).
  56. Pérez-Domínguez, L., Rodríguez-Picón, L. A., Alvarado-Iniesta, A., Luviano Cruz, D. and Xu, Z. “MOORA under Pythagorean fuzzy set for multiple criteria decision making”, Complexity, 2018(1), 2602376, (2018).
  57. Oz, N.E., Mete, S., Serin, F. and Gul, M. “Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards”, Human and Ecological Risk Assessment: An International Journal, 25(6): 1615-1632, (2019).
  58. Republic of Türkiye Ministry of the Interior Disaster and Emergency Management Authority (AFAD) “Earthquake Hazard Maps of Türkiye”, https://tdth.afad.gov.tr/TDTH/main.xhtml Accessed 23 August 2025, (2025).
  59. Republic of Türkiye Ministry of Environment Urbanization and Climate Change, General Directorate of Meteorology, “Official Statistics”, https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx Accessed 25 August 2025, (2025).
  60. Republic of Türkiye Ministry of Transport and Infrastructure ‘General Directorate of State Airports Authority of the Ministry of Transport and Infrastructure of the (AIP)’. https://www.dhmi.gov.tr/Sayfalar/aipTürkiye.aspx Accessed 12 September 2025, (2025).
  61. Turkish Statistical Institute, (TurkStat) “Address Based Population Registration System Results”, https://data.tuik.gov.tr/Bulten/Index?p=Adrese-Dayali-Nufus-Kayit-Sistemi-Sonuclari-2023-49684 Accessed 12 September 2025, (2024).
  62. Demir, A. Celebi, E., Ozturk, H., Ozcan, Z., Ozocak, A., Bol, E.,. and Mert, N. “Destructive impact of successive high magnitude earthquakes occurred in Türkiye’s Kahramanmaraş on February 6, 2023”, Bull. Earthquake Eng., 23: 893-919, (2025).