Seven-Layer Classification of Infrastructure to Improve Community Resilience to Disasters

Seven-Layer Classification of Infrastructure to Improve Community Resilience to Disasters
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DOI:
10.1061/(asce)is.1943-555x.0000486
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发表时间:
2019-06-01
影响因子:
3.3
通讯作者:
Hastak, Makarand
Hastak, Makarand
中科院分区:
工程技术3区
文献类型:
--
作者:
Choi, Juyeong;Deshmukh, Abhijeet;Hastak, Makarand

文献摘要

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社区抵御自然灾害的能力在很大程度上取决于灾后恢复期间通过多维相互依赖系统提供的基础设施服务是否充足。在灾难发生后,出现了巨大而多样的社区恢复需求,在紧急情况期间以及在整个短期和长期恢复阶段,需要网络-物理-社会系统的有效相互作用。由于认识到多层面基础设施所发挥的重要作用,在每个学科中都进行了大量的研究和发展,以便在灾后支助社区。这些基础设施系统的多个领域在其结构和操作上是异构的,但仍然是相互关联的。因此,缺乏不同学科应急人员协调复原力规划的综合平台,往往会阻碍灾后恢复过程中社区的顺利和有效恢复。本研究提出了一种新的方法来分析灾后恢复过程中各种关键基础设施的能力需求,并将其划分为七个相互关联的基础设施层:民用、公民、社会、金融、环境、教育和网络/通信。本研究采用节点分析来处理基础架构层网络的复杂性,并将其相互作用可视化。拟议的七层框架有助于理解基础设施层内部和之间的相互依赖关系,并分析灾后恢复阶段不同社区的具体需求。最后,通过对过去灾后恢复操作的案例研究,展示了这七层概念化的实施和好处。
Community resilience to natural disasters depends to a large extent on the adequacy of infrastructure services provided through multidimensional interdependent systems during postdisaster recovery. In the aftermath of a disaster, enormous and diverse community recovery needs emerge, necessitating an effective interplay of cyber-physical-social systems during emergencies and throughout the phases of short- and long-term recovery. With recognition of the important roles played by multidimensional infrastructure, considerable research and development has been undertaken in each discipline to support communities in the aftermath of disasters. These multiple domains of infrastructure systems are heterogeneous in their structure and operation but are nevertheless interrelated. Therefore, the absence of an integrated platform on which emergency personnel from different disciplines could coordinate resilience planning often hampers the smooth and effective recovery process of communities during postdisaster recovery. This study proposes a new approach for analyzing capacity needs of a wide range of critical infrastructure during postdisaster recovery, framed within seven interrelated infrastructure layers: civil, civic, social, financial, environmental, educational, and cyber/communication. This research employs node analysis to deal with the complexity of the infrastructure layer networks and visualize the interplay among them. The proposed seven-layer framework facilitates an understanding of the interdependencies within and between the infrastructure layers, and an analysis of various communities' needs specific to the phases of postdisaster recovery. Finally, the implementation and the benefits of this seven-layer conceptualization are demonstrated through case studies of past postdisaster recovery operations.