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Debris removal during disaster response: A case for Turkey

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  • Sahin, Halenur
  • Kara, Bahar Yetis
  • Karasan, Oya Ekin

Abstract

Debris occurs from the ruin and wreckage of structures during a disaster. Proper removal of debris is of great importance because it blocks roads and prohibits emergency aid teams from accessing disaster-affected regions. Poor disaster management, lack of efficiency and delays in debris removal cause disruptions in providing shelter, nutrition, healthcare and communication services to disaster victims, and more importantly, result in loss of lives. Due to the importance of systematic and efficient debris removal from the perspectives of improving disaster victims quality of life and allowing the transportation of emergency relief materials, the focus of this study is on providing emergency relief supplies to disaster-affected regions as soon as possible by unblocking roads through removing the accumulated debris. We develop a mathematical model for the problem that requires long CPU times for large instances. Since it is crucial to act quickly in an emergency case, we also propose a heuristic methodology that solves instances with an average gap of 1% and optimum ratio of 80.83%.

Suggested Citation

  • Sahin, Halenur & Kara, Bahar Yetis & Karasan, Oya Ekin, 2016. "Debris removal during disaster response: A case for Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 49-59.
    • Handle: RePEc:eee:soceps:v:53:y:2016:i:c:p:49-59
    DOI: 10.1016/j.seps.2015.10.003
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    References listed on IDEAS

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    Cited by:

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    10. Marco Modica & Susanna Paleari & Andrea Rampa, 2021. "Enhancing preparedness for managing debris from earthquakes: lessons from Italy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1395-1412, January.
    11. Jose Escribano Macias & Nils Goldbeck & Pei-Yuan Hsu & Panagiotis Angeloudis & Washington Ochieng, 2020. "Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 1089-1125, December.
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    13. Seyed Reza Abazari & Fariborz Jolai & Amir Aghsami, 2022. "Designing a humanitarian relief network considering governmental and non-governmental operations under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1430-1452, June.
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    17. Devendra K. Yadav & Akhilesh Barve, 2016. "Modeling Post-disaster Challenges of Humanitarian Supply Chains: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(3), pages 321-340, September.

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