Quantitative modeling in disaster management: A literature review

IF 1.3 4区 计算机科学 Q1 Computer Science
A. E. Baxter;H. E. Wilborn Lagerman;P. Keskinocak
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引用次数: 12

Abstract

The number, magnitude, complexity, and impact of natural disasters have been steadily increasing in various parts of the world. When preparing for, responding to, and recovering from a disaster, multiple organizations make decisions and take actions considering the needs, available resources, and priorities of the affected communities, emergency supply chains, and infrastructures. Most of the prior research focuses on decision-making for independent systems (e.g., single critical infrastructure networks or distinct relief resources). An emerging research area extends the focus to interdependent systems (i.e., multiple dependent networks or resources). In this article, we survey the literature on modeling approaches for disaster management problems on independent systems, discuss some recent work on problems involving demand, resource, and/or network interdependencies, and offer future research directions to add to this growing research area.
灾害管理中的定量建模:文献综述
自然灾害的数量、规模、复杂性和影响在世界各地稳步增加。在准备、应对和从灾难中恢复时,多个组织会根据受影响社区、应急供应链和基础设施的需求、可用资源和优先事项做出决定并采取行动。先前的大多数研究都集中在独立系统的决策上(例如,单个关键基础设施网络或不同的救济资源)。一个新兴的研究领域将重点扩展到相互依赖的系统(即多个相互依赖的网络或资源)。在这篇文章中,我们调查了独立系统上灾害管理问题建模方法的文献,讨论了最近关于需求、资源和/或网络相互依赖性问题的一些工作,并为这一不断增长的研究领域提供了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IBM Journal of Research and Development
IBM Journal of Research and Development 工程技术-计算机:硬件
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The IBM Journal of Research and Development is a peer-reviewed technical journal, published bimonthly, which features the work of authors in the science, technology and engineering of information systems. Papers are written for the worldwide scientific research and development community and knowledgeable professionals. Submitted papers are welcome from the IBM technical community and from non-IBM authors on topics relevant to the scientific and technical content of the Journal.
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