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Locating disaster response facilities in Istanbul

Author

Listed:
  • N Görmez

    (Middle East Technical University)

  • M Köksalan

    (Middle East Technical University)

  • F S Salman

    (Koç University)

Abstract

We study the problem of locating disaster response and relief facilities in the city of Istanbul, where a massively destructive earthquake is expected to occur in the near future. The Metropolitan Municipality of Istanbul decided to establish facilities to preposition relief aid and execute post-disaster response operations. We propose a two-tier distribution system that utilizes existing public facilities locally in addition to the new facilities that will act as regional supply points. We develop mathematical models to decide on the locations of the new facilities with the objectives of minimizing the average-weighted distance between casualty locations and closest facilities, and opening a small number of facilities, subject to distance limits and backup requirements under regional vulnerability considerations. We analyze the trade-offs between these two objectives under various disaster scenarios and investigate the solutions for several modelling extensions. The results demonstrate that a small number of facilities will be sufficient and their locations are robust to various parameter and modelling changes.

Suggested Citation

  • N Görmez & M Köksalan & F S Salman, 2011. "Locating disaster response facilities in Istanbul," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1239-1252, July.
  • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.67
    DOI: 10.1057/jors.2010.67
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    References listed on IDEAS

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    Cited by:

    1. Battarra, Maria & Balcik, Burcu & Xu, Huifu, 2018. "Disaster preparedness using risk-assessment methods from earthquake engineering," European Journal of Operational Research, Elsevier, vol. 269(2), pages 423-435.
    2. Zhizhu Lai & Qun Yue & Zheng Wang & Dongmei Ge & Yulong Chen & Zhihong Zhou, 2022. "The min-p robust optimization approach for facility location problem under uncertainty," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 1134-1160, September.
    3. Acar, Müge & Kaya, Onur, 2019. "A healthcare network design model with mobile hospitals for disaster preparedness: A case study for Istanbul earthquake," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 273-292.
    4. Tofighi, S. & Torabi, S.A. & Mansouri, S.A., 2016. "Humanitarian logistics network design under mixed uncertainty," European Journal of Operational Research, Elsevier, vol. 250(1), pages 239-250.
    5. Bakker, Hannah & Diehlmann, Florian & Wiens, Marcus & Nickel, Stefan & Schultmann, Frank, 2023. "School or parking lot? Selecting locations for points of distribution in urban disasters," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    6. Emel Aktaş & Özay Özaydın & Burçin Bozkaya & Füsun Ülengin & Şule Önsel, 2013. "Optimizing Fire Station Locations for the Istanbul Metropolitan Municipality," Interfaces, INFORMS, vol. 43(3), pages 240-255, May-June.
    7. Li, Bin & Hernandez, Ivan & Milburn, Ashlea Bennett & Ramirez-Marquez, Jose Emmanuel, 2018. "Integrating uncertain user-generated demand data when locating facilities for disaster response commodity distribution," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 84-103.
    8. Agha Iqbal Ali & Guven Ince, 2017. "Distress among disaster-affected populations: delay in relief provision," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 533-543, May.

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