Ensuring healthcare network resilience during urban disasters is crucial for sustainability and public safety. This study evaluates patient distribution policies in healthcare networks through a case study following a simulated earthquake scenario to enhance resilience during such events. By integrating geographic information systems (GIS) to model road impacts, agent-based modeling (ABM) for patient movements, and discrete event simulation (DES) for hospital queues, six distribution policies were evaluated. The analysis prioritized two metrics: patient waiting times and unmet treatment demands within four days post-disaster. Results revealed that policies emphasizing minimal hospital wait times demonstrated superior performance, reducing average waiting times by 71% and unmet demands compared to proximity-based approaches. Sensitivity analyses highlighted human behavior's influence, with increased personal vehicle usage adversely impacting resilience. Conversely, expanding hospital capacities substantially improved resilience indicators. The findings underscore the importance of informed policymaking focused on wait time reduction to enhance healthcare access resilience. Incorporating real-time hospital wait times into ambulance dispatch decisions emerged as a promising strategy. This multi-method simulation approach provides valuable insights into optimizing emergency response for resilient urban healthcare systems.