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The damage and the impact of natural disasters are becoming more destructivewith the increase of urbanization. Today's metropolitan cities are notsufficiently prepared for the pre and post-disaster situations. Digital Twintechnology can provide a solution. A virtual copy of the physical city could becreated by collecting data from sensors of the Internet of Things (IoT) devicesand stored on the cloud infrastructure. This virtual copy is kept current andup to date with the continuous flow of the data coming from the sensors. Wepropose a disaster management system utilizing machine learning called DT-DMSis used to support decision-making mechanisms. This study aims to show how toeducate and prepare emergency center staff by simulating potential disastersituations on the virtual copy. The event of a disaster will be simulatedallowing emergency center staff to make decisions and depicting the potentialoutcomes of these decisions. A rescue operation after an earthquake issimulated. Test results are promising and the simulation scope is planned to beextended.

Digital Twin Based Disaster Management System Proposal: DT-DMS