Development of a decision support system through modelling of critical infrastructure interdependencies

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dc.contributor.authorSyed, Yasir Imtiaz
dc.contributor.authorPrasanna, Raj
dc.contributor.authorUma, S.R.
dc.contributor.authorStock, Kristin
dc.contributor.authorBlake, Denise
dc.date.accessioned2021-01-27T23:08:13Z
dc.date.available2021-01-27T23:08:13Z
dc.date.issued2020en
dc.description.abstractCritical Infrastructures (CI) such as electricity, water, fuel, telecommunication, and road networks are a crucial factor for secure and reliable operation of a society. In a non-emergency situation, most businesses operate on an individual infrastructure. However, after major natural disasters such as earthquakes, the conflicts and complex interdependencies among the different infrastructures can cause significant disturbances, as a failure can propagate from one infrastructure to another. To overcome these concerns, this study has developed a Knowledge-Centered Decision Support System (KCDSS) through an integrated impact assessment framework to model CI interdependencies. The KCDSS can predict the CIs’ dynamic behaviour, as well as their reliability and flexibility in response to large-scale disturbances. The KCDSS can be used as an interface between risk assessment and economic modelling tools to quantify the economic consequences resulting from the infrastructure damage. The KCDSS can show the overall level of service (LOS) of a selected region using the information about damage to infrastructure components. The output of the KCDSS are shown through Geographical Information System (GIS) based time stamped outage maps, which can be used by emergency management stakeholders to decisions about the various impacts of infrastructure failure and examine post-disaster recovery options including reinforcement planning, identification of vulnerabilities, and adding or discarding redundancies in an infrastructure network.en
dc.identifier.urihttps://hdl.handle.net/10092/101550
dc.language.isoen
dc.titleDevelopment of a decision support system through modelling of critical infrastructure interdependenciesen
dc.typePostersen
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