Reza Faturechi

TL;DR: The problem of measuring a network's maximum resilience level and simultaneously determining the optimal set of preparedness and recovery actions necessary to achieve this level under budget and level-of-service constraints is formulated as a two-stage stochastic program.

TL;DR: In this article, a comprehensive overview of the literature on transportation infrastructure system performance in disasters is provided, including those articles appearing in refereed journals, conference proceedings, and technical reports since the late 1990s that provide insights and tools for the assessment of anticipated transportation system performance, along with its management given the possibility of physical damage resulting from a future hazard event.

TL;DR: In this article, a bi-level, three-stage Stochastic Mathematical Program with Equilibrium Constraints (SMPEC) is proposed for quantifying and optimizing travel time resilience in roadway networks under non-recurring natural or human-induced disaster events.

TL;DR: This article provides a comprehensive framework for conceptualizing, categorizing, and quantifying system performance measures in the presence of uncertain events, component failure, or other disruptions/disasters with the potential to reduce system capacity/performance.

TL;DR: The problem is formulated as a stochastic integer program with recourse and an exact solution methodology based on the integer L-shaped decomposition is proposed for its solution, which seeks an optimal allocation of limited resources to response capabilities and preparedness actions that facilitate them.