Multi-Hazard Resilience of Interconnected Airport Systems

Description

The framework evaluated thirty major U.S. airports and multiple hazard scenarios, including hurricanes, floods, wildfires, earthquakes, and cyberattacks. Beyond airport systems, the framework provides a generalizable methodology for resilience assessment in other interconnected critical infrastructures, such as transportation networks, energy systems, smart cities, and cyber-physical systems. By integrating graph-based learning with physics-informed artificial intelligence, this research contributes to the development of intelligent and adaptive resilience assessment methodologies for complex infrastructure systems. The framework in this study demonstrates that airport resilience is governed by the combined effects of hazard exposure, infrastructure vulnerability, recovery capability, resource availability, and network connectivity rather than by hazard intensity alone. Although airports exposed to lower composite hazard levels generally achieved higher MH-DRI values, airports with similar hazard conditions exhibited different resilience scores because the framework simultaneously evaluates RED, ROB, RES, and RAP. This finding indicates that improving airport resilience requires strengthening operational preparedness and recovery capacity in addition to reducing physical hazard exposure.

Institutions

• Morgan State University

  Maryland, Baltimore

Categories

Funders

• Ames Research Center

  National Aeronautics and Space Administration

  California, Mountain View

  Grant ID: 80NSSC24M0068

Licence