Abstract
The smart city concept, in which data from different systems are
available, contains a multitude of critical infrastructures. This data
availability opens new research opportunities in the study of the
interdependency between those critical infrastructures and cascading
effects solutions and focuses on the smart city as a network of critical
infrastructures. This paper proposes an integrated resilience system
linking interconnected critical infrastructures in a smart city to
improve disaster resilience. A data-driven approach is considered, using
artificial intelligence and methods to minimize cascading effects and
the destruction of failing critical infrastructures and their components
(at a city level). The proposed approach allows rapid recovery of
infrastructures’ service performance levels after disasters while
keeping the coverage of the assessment of risks, prevention, detection,
response, and mitigation of consequences. The proposed approach has the
originality and the practical implication of providing a decision
support system that handles the infrastructures that will support the
city disaster management system—make the city prepare, adapt, absorb,
respond, and recover from disasters by taking advantage of the
interconnections between its various critical infrastructures to
increase the overall resilience capacity. The city of Lisbon (Portugal)
is used as a case to show the practical application of the approach.
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Keywords:
risk assessment; security; emergency systems; smart cities; disaster management; critical infrastructures
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