  Resilience curves communicate system behavior and resilience properties to
critical infrastructure stakeholders and can quantitatively facilitate
resilient design. Generally, these curves illustrate the evolution of system
performance before, during, and after a disruption. As simple as these curves
may appear, the literature contains underexplored nuance when defining
"performance" and distilling curves with summary metrics. This manuscript,
through a review of 274 publications, defines a taxonomy of resilience curve
performance measures and discusses associated performance targets and
normalization techniques. Furthermore, a taxonomy of summary metrics is defined
to facilitate comparisons of system behavior and resilience strategies. In
addition to defining common taxonomies, this review synthesizes recommendations
for selecting measures and metrics for common applications and stakeholders
across critical infrastructure resilience domains. Key recommendations include
broader adoption of productivity measures with variable and adaptive
performance targets; deliberate consideration of curve milestones when defining
summary metrics; and the need for future research on variable and adaptive
weighting for ensemble measures and metrics.
