ABSTRACT
This chapter provides an overview of a resilience-based perspective on: optimizing the restoration of interdependent infrastructure networks, measuring the importance of their components, and locating work crews and resources for efficient restoration. In general, there are three factors that affect the progress of improvement for the resilience of the system of interdependent infrastructure networks: the set of disrupted components in the interdependent networks, the nature of the interdependencies among the infrastructure networks, and the number of available work crews for each infrastructure network during the restoration process. The proposed resilience-driven multi-objective restoration model focuses on maximizing the resilience of the interdependent infrastructure networks to retain their performance level prior to the disruption. Several component importance measures have been proposed in literature to identify the critical and influential components that could be reinforced or protected prior to a disruptive event and prioritized or expedited during the recovery process after a disruptive event.
