2017
DOI: 10.1080/23789689.2017.1364560
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A compositional demand/supply framework to quantify the resilience of civil infrastructure systems (Re-CoDeS)

Abstract: Originally published in:Sustainable and Resilient Infrastructure , http://doi.org/10.1080/23789689.2017.1364560 Rights / License:Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH LibraryFull Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tsri20 Disaster resilience of … Show more

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Cited by 62 publications
(29 citation statements)
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“…The Re-CoDeS framework (Didier et al, 2017d) allows to quantify and qualify the resilience of a CIS-community system. It distinguishes two system layers, namely the supply system layer and the demand system layer, and the following metrics on a component and system level (composed of i ∈ {1...I} demand components or nodes, and j ∈ {1...J} supply components or nodes):…”
Section: The Re-codes Frameworkmentioning
confidence: 99%
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“…The Re-CoDeS framework (Didier et al, 2017d) allows to quantify and qualify the resilience of a CIS-community system. It distinguishes two system layers, namely the supply system layer and the demand system layer, and the following metrics on a component and system level (composed of i ∈ {1...I} demand components or nodes, and j ∈ {1...J} supply components or nodes):…”
Section: The Re-codes Frameworkmentioning
confidence: 99%
“…Table 1. Resilience-related system configurations, t 0 corresponds to the moment of occurrence of the disaster (adapted from Didier et al, 2017d).…”
Section: Resilience-related Configurationsmentioning
confidence: 99%
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“…Current resilience management (RM) research has moved forward from the conceptual debate to operational paradigms. In response, many resilience assessment frameworks and toolkits have emerged with representative studies encompassing the system-theoretic accident model and process (STAMP), functional resonance analysis method (FRAM), and resilience analysis grid (RAG) methods by Hollnagel, Woods, and others [4,5,26,27], 4R model [28], four-cornerstone model [4,29], three-stage resilience analysis framework [30], compositional demand/supply framework (Re-CoDes) [31], and physics-based framework [32] in order to enlighten the resilience assessment of urban infrastructure systems while the disaster resilience scorecard for cites [33], baseline resilience indicators for communities (BRIC) [34], and PEOPLES resilience framework [35] mainly address the community or regional-level disaster resilience analysis. These frameworks can explain how people deal successfully with unexpected and unforeseen events, highlighting the steps from work-as-imagined to work-as-done resilience and even promoting more strategic and tactical control within daily operations.…”
Section: Infrastructure Resilience Analysis Framework Against Naturamentioning
confidence: 99%
“…An integrated CICS is, in this model, represented by the EPSS, the TS and the community built environment. Seismic resilience of the EPSS-TS-Community system is modeled using the compositional supply/demand resilience quantification framework (Didier et al 2018a). The state of the electric power supply and demand in the EPSS-TS-Community system is modeled through the earthquake damage absorption and recovery phases.…”
Section: Agent-based Post-earthquake Recovery Model Of the Cicsmentioning
confidence: 99%