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Natural disasters around the world have highlighted the need for specialized logistical treatment, known as humanitarian logistics. However, adopting systematized logistical procedures presents considerable problems, particularly in terms of infrastructure and location of humanitarian assistance centers, as well as emergency process coordination, including the site of temporary shelters. Thus, multi-criteria decision-making methods (MCDM) are useful in risk management because they recognize subjectivity as an inherent component of decision-making problems. The chapter focuses on humanitarian logistics concepts for prioritizing the spatial deployment of temporary shelters, as well as hybrid modeling that can assist emergency Disaster Risk Reduction (DRR) protocols using MCDM and agent-based simulation. The results display the utility index rankings, which indicate the relative importance of each alternative to another alternative ranked below it. The rankings also identify alternatives with similar levels of importance. It allows the decision-maker to identify and prioritize the locations where temporary emergency shelters should be installed to support natural disaster response capacity operations. Simulations were conducted in the region with the highest utility index to understand the demand for hospital services (62%) and emergency resource distribution (38%) during a flood disaster. A mathematical model demonstrated robustness, highlighting its potential to assist in decision-making during urban disasters.

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Urban Disaster Risk Reduction Policies: A New Look to Decision-Making for Environmentally Sustainable and Socially Resilient Urban Management

  • 章节

  • 发表日期：

    2025年

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  • Nicolas Lennick Bomfim de Albuquerque,
  • Lucas Borges Leal da Silva,
  • Marcelo Hazin Alencar,
  • Adiel Teixeira de Almeida

摘要

Natural disasters around the world have highlighted the need for specialized logistical treatment, known as humanitarian logistics. However, adopting systematized logistical procedures presents considerable problems, particularly in terms of infrastructure and location of humanitarian assistance centers, as well as emergency process coordination, including the site of temporary shelters. Thus, multi-criteria decision-making methods (MCDM) are useful in risk management because they recognize subjectivity as an inherent component of decision-making problems. The chapter focuses on humanitarian logistics concepts for prioritizing the spatial deployment of temporary shelters, as well as hybrid modeling that can assist emergency Disaster Risk Reduction (DRR) protocols using MCDM and agent-based simulation. The results display the utility index rankings, which indicate the relative importance of each alternative to another alternative ranked below it. The rankings also identify alternatives with similar levels of importance. It allows the decision-maker to identify and prioritize the locations where temporary emergency shelters should be installed to support natural disaster response capacity operations. Simulations were conducted in the region with the highest utility index to understand the demand for hospital services (62%) and emergency resource distribution (38%) during a flood disaster. A mathematical model demonstrated robustness, highlighting its potential to assist in decision-making during urban disasters.