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Disaster management: hierarchical structuring criteria for selection and location of temporary shelters

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  • Manuela Nappi
  • João Souza

Abstract

Humanitarian logistics refers to the processes and systems involving the mobilization of people, resources and expertize to help vulnerable communities affected by natural disasters and complex emergencies, reducing the loss of lives and relieving human suffering. With regard to disaster management, one of the most important tasks is decision making. The lack of criteria with respect to the selection and location of temporary shelters, for example, can lead to unforeseen factors, threatening the quality of the logistics operation as a whole. A decision-making process can be aided by several models such as multi-criteria models, which address problems whose objectives require a global and comprehensive view of the situation. Among the possible perspectives of analysis, there is the identification of criteria that are relevant to decision making. In that sense, this paper presents the criteria and important aspects that should be addressed by a multi-criteria model for risk management, specifically in regard to moving and temporary sheltering the population affected by a disaster. Qualitative and quantitative aspects were identified, summing up to ten criteria. These criteria and their sub-criteria were hierarchically structured. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Manuela Nappi & João Souza, 2015. "Disaster management: hierarchical structuring criteria for selection and location of temporary shelters," 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. 75(3), pages 2421-2436, February.
  • Handle: RePEc:spr:nathaz:v:75:y:2015:i:3:p:2421-2436
    DOI: 10.1007/s11069-014-1437-4
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    References listed on IDEAS

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    1. Gutjahr, Walter J. & Nolz, Pamela C., 2016. "Multicriteria optimization in humanitarian aid," European Journal of Operational Research, Elsevier, vol. 252(2), pages 351-366.
    2. Gutjahr, Walter J. & Dzubur, Nada, 2016. "Bi-objective bilevel optimization of distribution center locations considering user equilibria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 1-22.
    3. Slamet Setio Wigati & Bertha Maya Sopha & Anna Maria Sri Asih & Heri Sutanta, 2023. "Geographic Information System Based Suitable Temporary Shelter Location for Mount Merapi Eruption," Sustainability, MDPI, vol. 15(3), pages 1-26, January.
    4. Dilsu Binnaz Ozkapici & Mustafa Alp Ertem & Haluk Aygüneş, 2016. "Intermodal humanitarian logistics model based on maritime transportation in Istanbul," 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. 83(1), pages 345-364, August.
    5. Patricia de Oliveira Melo & Renata Marques Britto & Tharcisio Cotta Fontainha & Adriana Leiras & Renata Albergaria de Mello Bandeira, 2017. "Evaluation of community leaders’ perception regarding Alerta Rio, the warning system for landslides caused by heavy rains in Rio de Janeiro," 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. 89(3), pages 1343-1368, December.
    6. Jianhui Du & Peng Wu & Yiqing Wang & Dan Yang, 2023. "Multi-stage humanitarian emergency logistics: robust decisions in uncertain environment," 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. 115(1), pages 899-922, January.
    7. Yoon Ha Lee & Ji Soo Lee & Seung Chan Baek & Won Hwa Hong, 2020. "Spatial Equity with Census Population Data vs. Floating Population Data: The Distribution of Earthquake Evacuation Shelters in Daegu, South Korea," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    8. Erkan Celik, 2024. "Analyzing the Shelter Site Selection Criteria for Disaster Preparedness Using Best–Worst Method under Interval Type-2 Fuzzy Sets," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    9. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.
    10. Yudi Zhang & Lei He, 2022. "Research on the Characteristics and Influencing Factors of Community Residents’ Night Evacuation Behavior Based on Structural Equation Model," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    11. Amir Reza Bakhshi Lomer & Mahdi Rezaeian & Hamid Rezaei & Akbar Lorestani & Naeim Mijani & Mohammadreza Mahdad & Ahmad Raeisi & Jamal Jokar Arsanjani, 2023. "Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    12. Shuvrangshu Jana & Rudrashis Majumder & Prathyush P. Menon & Debasish Ghose, 2022. "Decision Support System (DSS) for Hierarchical Allocation of Resources and Tasks for Disaster Management," SN Operations Research Forum, Springer, vol. 3(3), pages 1-30, September.

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