Advanced 3D modeling is vital for managing seismic risk in complex urban environments. This study explores its applications for disaster preparedness, response, and recovery, focusing on risk assessment, scenario simulations, and decision-making. 3D models create urban digital twins, enabling accurate structural vulnerability assessments and real-time disaster coordination. They provide comprehensive visualization of earthquake damage scenarios, enhancing emergency planning and resource allocation. Integration with geospatial, structural, and seismic hazard data supports resilient infrastructure development. Distinct Levels of Detail (LoD) serve different phases: Lower LoD suffices for hazard mapping, vulnerability analysis, and scenario simulations. Conversely, high LoD digital twins, incorporating detailed building attributes, interiors, and infrastructure networks, become indispensable post-earthquake for search and rescue, damage assessment, and resource allocation. Integrating real-time sensor data further enhances situational awareness and decision-making within these high-fidelity models. The proposed framework incorporates seismic hazard assessment by modeling earthquake scenarios using geological, geotechnical, and seismic data. It facilitates detailed vulnerability analysis and simulations to estimate casualties, infrastructure damage, and service disruptions, aiding preemptive planning. Sensor networks and early warning systems enable real-time risk monitoring and dynamic assessment updates, improving emergency response and recovery strategies. Though designed for seismic risk, the framework's adaptability allows modification for diverse disaster risks, making it a versatile urban resilience planning tool.