2019
DOI: 10.1109/access.2019.2904457
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Multi-Network Vulnerability Causal Model for Infrastructure Co-Resilience

Abstract: Resilience is mostly considered as a single-dimension attribute of a system. Most of the recent works on resilience treat it as a single-dimension attribute of a system or study the different dimensions of the resilience separately without considering its multi-domain nature. In this paper, we propose an advanced causal inference approach combined with machine learning to characterize the spatio-temporal and multi-domain vulnerability of an urban infrastructure system against extreme weather events. With the p… Show more

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Cited by 20 publications
(3 citation statements)
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“…Some articles studied the resilience and fragility of the electric power system [ 122 , 123 ]. In addition to single network analysis, articles were combing two or more networks to stress the interdependency of systems and cascading damages of disasters [ 124 , 125 ].…”
Section: Resultsmentioning
confidence: 99%
“…Some articles studied the resilience and fragility of the electric power system [ 122 , 123 ]. In addition to single network analysis, articles were combing two or more networks to stress the interdependency of systems and cascading damages of disasters [ 124 , 125 ].…”
Section: Resultsmentioning
confidence: 99%
“…With respect to other practical and research applications, survey data similar to those collected for the current study can also be combined with technical data on disaster-related disruptions to city functioning and infrastructure in order to better understand citizen needs and the use of smart city functions [75]. Specifically, such survey data can be combined or cross-validated with data on infrastructure disruptions, such as power outages and roadway closures [76][77][78][79] as well as with city data on demographics and socioeconomics [80,81].…”
Section: Discussionmentioning
confidence: 99%
“…These dynamics imply that more continuous exchanges between these two networks may be necessary for interdependent studies modeling continuous cascades (Varga et al 2014). Another study used historical outage data from Hurricane Hermine to train a statistical model, predicting road closures and power outages (Madhavi et al 2019). They used the model for predictions of failure in future storms.…”
Section: Infrastructure Interdependencementioning
confidence: 99%