Disaster Management Enabled Metaverse for Crisis Response Using Digital Twin Simulation

The integration of the Metaverse with disaster management enhances crisis response by leveraging immersive virtual environments. Digital Twin Simulation (DTS) enables real-time monitoring, analysis, and strategic planning for effective disaster mitigation. Traditional disaster management approaches often suffer from delayed decision-making, lack of real-time data integration, and inefficient resource allocation. These limitations hinder swift response efforts, exacerbating the impact of disasters on affected communities. To address these challenges, we propose an AI-Driven Digital Twin Simulation (AI-DTS) framework for real-time disaster response and resource allocation. AI-DTS integrates artificial intelligence, digital twins, and the Metaverse to create a dynamic, data- driven environment for monitoring disasters, predicting their impact, and optimizing emergency response strategies. The framework utilizes AI-driven predictive analytics, IoT-enabled real-time data collection, and immersive simulations to enhance situational awareness. The proposed method allows crisis responders, policymakers, and emergency management teams to collaborate within an interactive digital space, ensuring efficient decision-making. AI-DTS enables rapid assessment of disaster scenarios, optimizes resource distribution, and provides simulated training environments to enhance preparedness. Experimental evaluations indicate that AI-DTS significantly improves response time, optimizes resource allocation by 30%, and enhances situational awareness by integrating real-time data into crisis response strategies. The findings demonstrate that the AI-DTS framework minimizes disaster impact, where the management of disaster was set to making the operational efficiency.