This research proposes an integrated digital twin framework designed to optimize airport resiliency, efficiency, and sustainability using Hartsfield-Jackson Atlanta International Airport as a case study. The digital twin is a virtual replica of the airport's physical assets and operational dynamics, combining live data streams, agent-based passenger simulations, parametric emergency scenarios, and detailed energy performance modeling into one interactive platform. Stakeholders can dynamically monitor airport operations, predict outcomes of potential disruptions, and evaluate energy-saving strategies through intuitive, scenario-based simulations. The integrated system uniquely connects passenger flow dynamics, energy consumption patterns, and emergency response strategies, enabling proactive and informed decision-making. A user-friendly dashboard consolidates these complex insights, making the platform accessible even for users without technical expertise. Overall, the digital twin framework offers airports actionable strategies to enhance resilience against disruptions, improve passenger experiences, and significantly reduce energy use and carbon emissions, supporting airports in achieving ambitious sustainability targets.

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