RADAR: Resource Allocation for Disaster Resilience in Senior Health Care

During disasters, ensuring that critical response resources are efficiently allocated to the most appropriate locations is crucial for minimizing adverse impacts and saving lives. To this end, we present RADAR, a data-driven platform that integrates multisource GIS feeds (e.g. USGS earthquake alerts, Cal Fire wildfire perimeters) with facility and transportation data to support proactive planning and real-time recommendations that can be used by Emergency Operations Centers to guide populations to safety. RADAR uses policy-driven stable matching to optimize routing and resource assignment for evacuation planning and resource delivery. The aggregate model allocates populations in impacted facilities to alternate short-term facilities (e.g., hospitals), and a fine-grained extension for long-term senior-care facilities personalizes allocation using resident preferences, medical profiles, and social constraints. RADAR adapts as conditions evolve by utilizing historical data, live traffic, and changing facility status. We validated RADAR's efficacy in several disaster settings, including real events such as the Palisades wildfire and tabletop drills (earthquake and water-contamination scenarios) involving first responders.