This study presents a strategic optimization framework for post-disaster healthcare management in Istanbul, a metropolis facing significant seismic risks. The research develops a Mixed-Integer Linear Programming (MILP) model designed to bridge the gap between overwhelmed fixed medical infrastructures and the urgent need for temporary field hospitals. Beyond traditional facility location problems, the model incorporates spatial resource constraints to evaluate the trade-off between total patient volume and clinical urgency. The findings highlight a definitive operational threshold where the system shifts its priority to maximize survival rates for the most vulnerable casualties. By quantifying the balance between medical capacity and urban accessibility, this study offers a decision-support tool that enhances the resilience and life-saving potential of emergency healthcare networks in high-density urban environments. The study offers a decision-support framework for emergency planners to enhance the resilience and responsiveness of İstanbul healthcare systems under large-scale disaster scenarios.

Keywords

Earthquake Preparedness, Facility Location, Optimization Models.