ABSTRACT
In this paper, we discuss a proposed resilience analysis metric for measuring resilience based on three resilience capacities: adaptive capacity, absorptive capacity, and recoverability. The proposed resiliency factor and uncertainty-weighted resilience metric may enable planners and managers to explore the performance of engineered systems under deep uncertainty by encoding assumptions about the resilience of engineered systems to highly improbable, catastrophic events in an entropy-based approach. We discuss how our metric might promote the development of methodologies for investigating “deep” uncertainties in resilience assessment while retaining the use of probability for expressing uncertainties about highly uncertain, unforeseeable, or unknowable hazards in design and management activities using a computational example and discussion of practical difficulties in the implementation of our resilience framework.
