This project examines how transportation-network disruption shapes post-earthquake emergency medical response. I developed a probabilistic framework that integrates hazard, risk, network, and agent-based models to quantify delays in search and rescue, injury transport, hospital accessibility, and the resulting social losses.

Key contributions

• Modeled post-earthquake transportation performance together with emergency medical operations rather than treating them as separate systems
• Quantified time-varying congestion, ambulance travel times, hospital accessibility, and resilience outcomes under uncertainty
• Used the framework to identify vulnerable zones and evaluate retrofit and emergency-response strategies

Impact

This work connects transportation resilience to human-centered outcomes such as survivability, emergency-response delays, and social loss, making it more useful for pre-disaster planning and post-disaster decision support than purely abstract network analysis.