Abstract: The development of preparedness strategies for natural and malevolent man-made hazards and approaches with which to compare such investments is fraught with uncertainty. The dynamic inoperability input-output model (DIIM) ...

Abstract: Recent natural disasters have highlighted the need for increased planning for disruptive events. Forecasting damage and time that a system will be inoperable is important for disruption planning. The resilience of critical ...

Abstract: Decision making for managing risks to critical infrastructure systems requires accounting for (1) the uncertain behavior of disruptive events; and (2) the interdependent nature of such systems that lead to large-scale ...

Abstract: Stochastic ranking, or the ordered comparison of alternatives whose performance is measured with random variables, is often made by relating expected values. Doing so ignores variability in performance, leaving the possibility ...

Abstract: Freight transportation infrastructure systems facilitate commodity flows across multiple industries. The closure of key infrastructures leads to an interruption of economic productivity that propagates through a system of ...

Abstract: Stochastic ranking, or the ordered comparison of alternatives whose performance is measured with random variables, is often made by relating expected values. Doing so ignores variability in performance, leaving the possibility ...