Time-Varying Disaster Recovery Model for Interdependent Economic Systems Using Hybrid Input–output and Event Tree Analysis

Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience

“…There is an urgent need to understand structural and functional interdependencies between infrastructure systems for improving disaster resilience of economic systems. This work adds to the rapidly growing body of literature that utilizes quantitative models for improving post-disaster recovery and reconstruction, and evaluating pre-hazard preparedness and mitigation strategies [38,52,54,87,88]. While previous work has focused on creating and refining mathematical models for critical infrastructures analysis, our work provides a fundamental understanding of the structure of CIS within the US economic network and its implications for economic resilience.…”

Reflections on the Inoperability Input–output Model

“…In a dynamic setting, due attention has been given to the recovery path of the outputs after a disruption. For example, Orsi and Santos (2010) make the coefficients that determine the recovery path time-varying, Jonkeren and Giannopoulos (2014) focus on the shape of the recovery path, and Santos et al (2014) use event tree analysis to analyze perturbations of the recovery path.…”

A New Approach to Modeling the Impact of Disruptive Events

“…Forgetting this, as in Santos et al. (, p. 63), results in overestimation of the inoperability by industry, and a wrong rank order of the severity of the backward, demand impacts.…”