Data-driven resilience assessment for transport infrastructure exposed to multiple hazards by integrating multiscale terrestrial and airborne monitoring systems
2021
The exposure of critical transport infrastructure to natural hazards and climate change effects
has severe consequences on world economies and societies and, thus, safety and resiliency of transport networks
are of paramount importance. The currently available frameworks for quantitative risk and resiliencebased
design and assessment have been mainly developed for bridges exposed to earthquakes. However, there
is an absence of well-informed exposure, vulnerability, functionality and recovery models, which are the main
components in the quantification of resilience. The present paper proposes an integrated framework for the data-
driven resilience assessment of transport infrastructure exposed to multiple hazards by using multiscale
monitoring data, such as terrestrial and airborne data, as well as open-access crowd data and environmental
measurements. Monitoring and early warnings are expected to produce accurate and rapidly informed quantitative
risk and resilience assessments for transport infrastructure and to enhance asset management. Therefore,
this framework aims to facilitate stakeholders’ decision-making for daily and catastrophic events and to support
adaptation and preparedness with preventive and/or retrofitting measures against multiple hazards.
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