Araştırma Makalesi

DOI :10.26650/JTL.2022.1192498   IUP :10.26650/JTL.2022.1192498    Tam Metin (PDF)

Post-Earthquake Casualty Transport Optimization

Salih ÖzçelikHalim Kazan

Disasters are one of the deadliest problems faced by humans in their struggle to survive in nature throughout history. This study was carried out for the optimization of the casualty transport process after the earthquake, which is one of the most powerful disaster types today. This study, in which what needs to be done in the post-earthquake response phase is planned, it is aimed to design a logistics network that will ensure that the patients who survive the earthquake with severe injuries are treated as soon as possible. For the problem’s resolution in this way, a two-stage solution model is recommended. The proposed mathematical model is first solved using a mixed integer programming approach. The outputs of the mathematical model were simulated using the new patient selection procedure in the second stage. Thanks to the proposed model, it has been determined which ambulances to transport the patients to which hospital and preferences that will minimize the total time have been formed. Finally, the developed new mathematical model and patient selection method were tested with earthquake forecast data for the Tuzla District of Istanbul Province. After conducting a baseline study, the model’s sensitivity to changes in parameters and constraints under various scenarios was assessed (scenario 2, scenario 3). Sensitivity analysis results showed improvements in total transport times with additional hospital setup and ambulance allocation.

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  • Adıvar, B., & Mert, A. (2010). International disaster relief planning with fuzzy credibility. Fuzzy Optimization and Decision Making, 9(4), 413-433. google scholar
  • Adrang, H., Amiri, A. B., Damghani, K. K., & Moghaddam, R. T. (2020). Planning for Medical Emergency Transportation Vehicles during Natural Disasters. Journal of Optimization in Industrial Engineering, 0(2), 185-197. google scholar
  • AFAD. (2020). Açıklamalı Afet Yönetimi Terimleri Sözlüğü. google scholar
  • Altay, N. (2008). Issues in disaster relief logistics. Large-Scale Disasters: Prediction, Control, and Mitigation, 9780521872, 120-146. google scholar
  • Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493. google scholar
  • Anaya-Arenas, A. M., Renaud, J., & Ruiz, A. (2014). Relief distribution networks: a systematic review. Annals of Operations Research 2014 223:1, 223(1), 53-79. google scholar
  • Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 12(2), 51-63. https://doi. org/10.1080/15472450802023329 google scholar
  • Barbarosoğlu, G., & Arda, Y (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society. google scholar
  • Barbarosolu, G., Özdamar, L., & Çevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140(1), 118-133. google scholar
  • Berkoune, D., Renaud, J., Rekik, M., & Ruiz, A. (2012). Transportation in disaster response operations. Socio-Economic Planning Sciences, 46(1), 23-32. google scholar
  • Boeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126-139. compenvurbsys.2017.05.004 google scholar
  • Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46(1), 4-13. https://doi.Org/10.1016/J.SEPS.2011.04.004 google scholar
  • Chern, C. C., Chen, Y. L., & Kung, L. C. (2010). A heuristic relief transportation planning algorithm for emergency supply chain management. International Journal of Computer Mathematics, 87(7), 16381664. google scholar
  • Deniz, E. Ş. (2012). Antalya İli Afet Riskleri Ve Afet Yönetimi Konusu Üzerine Bir Araştırma. Akdeniz Üniversitesi. google scholar
  • Ergünay, O. (2005). Afet Yönetiminde İşbirliği ve Koordinasyonun Önemi. TC İçişleri Bakanlığı-JICA, 9-18. google scholar
  • Gu, Y. (2011). Research On Optimization Of Relief Supplies Distribution Aimed To Minimize Disaster Losses. Journal of Computers, 6(3), 603-609. google scholar
  • Gümüşbuğa, F. (2012). Afet Yönetimi Kapsamında Hata Ağacı Analizi İle Risk Tabanlı Tesis Yer Seçimi. Kara Harp Okulu. google scholar
  • Haghani, A., & Oh, S. C. (1996). Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transportation Research Part A: Policy and Practice, 30(3), 231-250. google scholar
  • Hu, Z. H. (2011). A container multimodal transportation scheduling approach based on immune affinity model for emergency relief. Expert Systems with Applications, 38(3), 2632-2639. ESWA.2010.08.053 google scholar
  • Huang, H., Li, Y., Huang, B., Pi, X., Xiangru, M., Wei, S., Nickel, S., Saldanha-Da-Gama, F., Kim, J. S., Lee, D.-H. D. H. D. H., Ge, X. Q., Tian, Z. Y, Zhang, J., Thanh, P N., Bostel, N., Peton, O., Alshamsi, A., Diabat, A., Jeet, V., Chen, S. S. (2009). Network design based on closed-loop reverse logistics recycling. International Journal of Production Research, 50(1), 533-536. google scholar
  • IFRC. (2020). What is a disaster? what-is-a-disaster/ google scholar
  • Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), 1-24. seps.2008.02.005 google scholar
  • Kadıoğlu, M. (2011). Afet Yönetimi Beklenilmeyeni Beklemek, En Kötüsünü Yönetmek. T.C. Marmara Belediyeler Birliği Yayını, 40-43. google scholar
  • Kaya, Y. (2000). 17 Ağustos’un Ardından Deprem, Devlet ve Toplum. Otopsi Yayınevi Yayınları. google scholar
  • Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11(2), 113-115. https://doi. org/10.1111/J.1467-7717.1987.TB00624.X google scholar
  • Konstantinidou, M. A., Kepaptsoglou, K. L., & Stathopoulos, A. (2019). A multi-objective network design model for post-disaster transportation network management. Promet - Traffic - Traffico, 31(1), 11-23. google scholar
  • Öner, Z. S. (2010). Türkiye’de Afet Yönetimi ve Niğde Örneği. Niğde Üniversitesi. google scholar
  • Ozdamar, L. (2011). Planning helicopter logistics in disaster relief. OR Spectrum 2011 33:3, 33(3), 655-672. google scholar
  • Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research. google scholar
  • Safeer, M., Anbuudayasankar, S. P., Balkumar, K., & Ganesh, K. (2014). Analyzing transportation and distribution in emergency humanitarian logistics. Procedia Engineering, 97, 2248-2258. https://doi. org/10.1016/j.proeng.2014.12.469 google scholar
  • Sarma, D., Singh, A., Das, A., & Bera, U. K. (2018). A Post-Disaster Humanitarian Relief Logistic Model: Evacuation and Transportation. 2018 3rd International Conference for Convergence in Technology, I2CT 2018, 1-5. google scholar
  • Sarp, N. (1999). Disaster Management in Healthcare. google scholar
  • Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, 43(6), 687-709. google scholar
  • Sheu, J. B. (2010). Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transportation Research Part E: Logistics and Transportation Review, 46(1), 1-17. https:// google scholar
  • Tanrıöven, E. A. (2010). A Study of Ambulance Dispatching Policies To Improve Disaster Relief Operations : A Case Study on Istanbul. Koç University. google scholar
  • Tzeng, G. H., Cheng, H. J., & Huang, T. D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review, 43(6), 673-686. google scholar
  • Vitoriano, B., Ortuno, T., & Tirado, G. (2009). HADS, a goal programming-based humanitarian aid distribution system. Journal of Multi-Criteria Decision Analysis, 16(1-2), 55-64. google scholar
  • Vitoriano, Begona, Ortuno, M. T., Tirado, G., & Montero, J. (2011). A multi-criteria optimization model for humanitarian aid distribution. Journal of Global Optimization, 51(2), 189-208. s10898-010-9603-z google scholar
  • Wang, S. Ma, Z. and Li, Z. (2008). A Dynamic Programming Model for Optimal Transportation of Emergency Relief Commodities in Natural Disasters. 0, 1452-1457. google scholar
  • Yi, W., & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transportation Research Part E: Logistics and Transportation Review, 43(6), 660-672. google scholar
  • Yi, W., & Özdamar, L. (2004). Fuzzy Modeling for Coordinating Logistics in Emergencies. google scholar
  • Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193. https:// google scholar
  • Zhu, L., Gong, Y., Xu, Y., & Gu, J. (2019). Emergency relief routing models for injured victims considering equity and priority. Annals of Operations Research, 283(1-2), 1573-1606. s10479-018-3089-3 google scholar
  • Zuo, X. D., Qing, Y. H., & Li, J. P. (2014). Research on Design of Region Postal Logistic Distribution Network with Time Windows. Strategy in Emerging Markets: Management, Finance and Sustainable Development, 205-211. google scholar


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Özçelik, S., & Kazan, H. (2022). Post-Earthquake Casualty Transport Optimization. Journal of Transportation and Logistics, 7(2), 589-607.


Özçelik S, Kazan H. Post-Earthquake Casualty Transport Optimization. Journal of Transportation and Logistics. 2022;7(2):589-607.


Özçelik, S.; Kazan, H. Post-Earthquake Casualty Transport Optimization. Journal of Transportation and Logistics, [Publisher Location], v. 7, n. 2, p. 589-607, 2022.

Chicago: Author-Date Style

Özçelik, Salih, and Halim Kazan. 2022. “Post-Earthquake Casualty Transport Optimization.” Journal of Transportation and Logistics 7, no. 2: 589-607.

Chicago: Humanities Style

Özçelik, Salih, and Halim Kazan. Post-Earthquake Casualty Transport Optimization.” Journal of Transportation and Logistics 7, no. 2 (Mar. 2023): 589-607.

Harvard: Australian Style

Özçelik, S & Kazan, H 2022, 'Post-Earthquake Casualty Transport Optimization', Journal of Transportation and Logistics, vol. 7, no. 2, pp. 589-607, viewed 28 Mar. 2023,

Harvard: Author-Date Style

Özçelik, S. and Kazan, H. (2022) ‘Post-Earthquake Casualty Transport Optimization’, Journal of Transportation and Logistics, 7(2), pp. 589-607. (28 Mar. 2023).


Özçelik, Salih, and Halim Kazan. Post-Earthquake Casualty Transport Optimization.” Journal of Transportation and Logistics, vol. 7, no. 2, 2022, pp. 589-607. [Database Container],


Özçelik S, Kazan H. Post-Earthquake Casualty Transport Optimization. Journal of Transportation and Logistics [Internet]. 28 Mar. 2023 [cited 28 Mar. 2023];7(2):589-607. Available from: doi: 10.26650/JTL.2022.1192498


Özçelik, Salih - Kazan, Halim. Post-Earthquake Casualty Transport Optimization”. Journal of Transportation and Logistics 7/2 (Mar. 2023): 589-607.


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