2018
DOI: 10.3390/su10103470
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Assessment of Critical Infrastructure Resilience to Flooding Using a Response Curve Approach

Abstract: Following a flood the functioning of critical infrastructure (CI), such as power and transportation networks, plays an important role in recovery and the resilience of the city. Previous research investigated resilience indicators, however, there is no method in the literature to quantify the resilience of CI to flooding specifically or to quantify the effect of measures. This new method to quantify CI resilience to flooding proposes an expected annual disruption (EADIS) metric and curve of disruption versus l… Show more

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Cited by 57 publications
(52 citation statements)
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“…In this example, frequent events do not cause disruption, while more rare events cause small disruptions and very rare events disrupt many persons for many days. If this system would be made more resilient, the curve would go down and the steep rise would become less steep and move to the right [19]. Resilience is a characteristic of a system.…”
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confidence: 99%
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“…In this example, frequent events do not cause disruption, while more rare events cause small disruptions and very rare events disrupt many persons for many days. If this system would be made more resilient, the curve would go down and the steep rise would become less steep and move to the right [19]. Resilience is a characteristic of a system.…”
mentioning
confidence: 99%
“…Figure 2. System response to a single shock (a) and as a function of disturbance magnitude (hazard severity) (b) (adapted from [19]).…”
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confidence: 99%
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“…More recently, frameworks and methodologies have been developed aiming to establish flood resilience [42,43]. Cutter et al [44] stated that despite efforts to assess the dimensions of community resilience, the main challenge is to develop standard metrics to measure disaster resilience.…”
Section: Introductionmentioning
confidence: 99%