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Does exploring the characteristics of emergency supplies really matter for disaster response operations?

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Listed:
  • Xiaoxin Zhu

    (Qingdao University of Technology)

  • David Regan

    (China University of Petroleum)

  • Baiqing Sun

    (Harbin Institute of Technology)

Abstract

This article aims to provide a quantitative study of immediate food supplies based on a three-stage analysis. Firstly, a numerical autoregressive integrative moving average (ARIMA) model is estimated based on the data of 14 key commodities in Sendai City of Japan during the 2011 Tohoku Earthquake. Though the temporal patterns of key food commodity groups are qualitatively similar, the results show that they tend to follow different ARIMA processes, with different autoregressive moving averages and difference order patterns. Second, 3 of the 14 items are found to be significantly related to the number of temporary residents in shelters, revealing that the relatively low number of different items makes it easier to deploy these key supplies or develop regional purchase agreements at an early stage. Finally, a network simulation of response operations performed in temporary shelters based on four specific policies shows that the exploration of the characteristics of critical emergency supplies is the key that strategically enables both effectiveness and efficiency when responding to a disaster situation.

Suggested Citation

  • Xiaoxin Zhu & David Regan & Baiqing Sun, 2022. "Does exploring the characteristics of emergency supplies really matter for disaster response operations?," 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. 110(1), pages 175-189, January.
    • Handle: RePEc:spr:nathaz:v:110:y:2022:i:1:d:10.1007_s11069-021-04941-0
    DOI: 10.1007/s11069-021-04941-0
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    References listed on IDEAS

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    1. Linet Özdamar & Ediz Ekinci & Beste Küçükyazici, 2004. "Emergency Logistics Planning in Natural Disasters," Annals of Operations Research, Springer, vol. 129(1), pages 217-245, July.
    2. Xiaoxin Zhu & Guanghai Zhang & Baiqing Sun, 2019. "A comprehensive literature review of the demand forecasting methods of emergency resources from the perspective of artificial intelligence," 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. 97(1), pages 65-82, May.
    3. Laijun Zhao & Huiyong Li & Yan Sun & Rongbing Huang & Qingmi Hu & Jiajia Wang & Fei Gao, 2017. "Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    4. Yash V. Marthak & Eduardo Pérez & Francis A. Méndez Mediavilla, 2021. "A stochastic programming model for tactical product prepositioning at domestic hunger relief organizations impacted by natural hazards," 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. 107(3), pages 2263-2291, July.
    5. Balcik, Burcu & Yanıkoğlu, İhsan, 2020. "A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty," European Journal of Operational Research, Elsevier, vol. 282(1), pages 40-57.
    6. Erbeyoğlu, Gökalp & Bilge, Ümit, 2020. "A robust disaster preparedness model for effective and fair disaster response," European Journal of Operational Research, Elsevier, vol. 280(2), pages 479-494.
    7. Sushil Gupta & Martin K. Starr & Reza Zanjirani Farahani & Niki Matinrad, 2016. "Disaster Management from a POM Perspective: Mapping a New Domain," Production and Operations Management, Production and Operations Management Society, vol. 25(10), pages 1611-1637, October.
    8. G Barbarosoǧlu & Y Arda, 2004. "A two-stage stochastic programming framework for transportation planning in disaster response," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 43-53, January.
    9. Rivera-Royero, Daniel & Galindo, Gina & Yie-Pinedo, Ruben, 2020. "Planning the delivery of relief supplies upon the occurrence of a natural disaster while considering the assembly process of the relief kits," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    10. Rodríguez-Espíndola, Oscar & Albores, Pavel & Brewster, Christopher, 2018. "Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods," European Journal of Operational Research, Elsevier, vol. 264(3), pages 978-993.
    11. Haghani, Ali & Oh, Sei-Chang, 1996. "Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(3), pages 231-250, May.
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