A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
Michel Bruneau, Stephanie E. Chang, Ronald T. Eguchi, George C. Lee, Thomas D. O’Rourke, A. M. Reinhorn, Masanobu Shinozuka, Kathleen J. Tierney 等 10 位
University at Buffalo, State University of New York University of Washington MUFG Union Bank ImageCat (United States)
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This paper presents a conceptual framework to define seismic resilience of communities and quantitative measures of resilience that can be useful for a coordinated research effort focusing on enhancing this resilience. This framework relies on the complementary measures of resilience: “Reduced failure probabilities,” “Reduced consequences from failures,” and “Reduced time to recovery.” The framework also includes quantitative measures of the “ends” of robustness and rapidity, and the “means” of resourcefulness and redundancy, and integrates those measures into the four dimensions of community resilience—technical, organizational, social, and economic—all of which can be used to quantify measures of resilience for various types of physical and organizational systems. Systems diagrams then establish the tasks required to achieve these objectives. This framework can be useful in future research to determine the resiliency of different units of analysis and systems, and to develop resiliency targets and detailed analytical procedures to generate these values.
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工程Infrastructure Resilience and Vulnerability Analysis
Supply Chain Resilience and Risk Management · Disaster Management and Resilience
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