Multi-Stakeholder Resilient Infrastructure Decision Support Under Dynamic Environmental and Adaptive Adversarial Settings

The 2017 U.S. National Security Strategy indicates a need to reduce risk and build resilience against targeted and natural hazards. Simultaneously, these targeted and natural hazards pose a risk beyond the immediate system for which they are impacting due to the interconnectivity of our social, cyber, and infrastructure networks. Each stakeholder-including, but not limited to, policy makers and system operators-have competing and cooperative interests for the ultimate functionality of the individual and overarching system. These multi-criteria and multi-stakeholder problems require a risk assessment and resource allocation tool that is generalizable for multiple stakeholders in order to inform optimal decision making practices in an effort to prepare for any given hazard. This research aims to incorporate resilience alternatives alongside risk assessment metrics using an optimization based decision making framework based upon a multiple-criteria decision making (MCDM) methodology. It will demonstrate a Resilient Infrastructure Decision Support (RIDS) toolset with a top-down decision analysis and bottom-up risk assessment. Through the use of combined simulated and truth-grounded data, infrastructure asset and portfolio-level resource allocation will be determined and multi-stakeholder decision making patterns will be evaluated. Boston Logan Airport and Port Authority will be used as a case study to inform and evaluate the toolset and results can be grounded based upon stakeholder buy-in and historical event inter-comparison. Results intend to be informative to a game theoretical framework.