Driven by the challenges of rapid urbanization, cities are determined to implement advanced socio-technological changes and transform into smarter cities. The success of such transformation, however, greatly relies on a thorough understanding of the city's states of spatiotemporal flux. The ability to understand such fluctuations in context and in terms of interdependencies that exist among various entities across time and space is crucial, if cities are to maintain their smart growth. We introduce a Smart City Digital Twin paradigm that can enable increased visibility into cities' human-infrastructure-technology interactions, in which spatiotemporal fluctuations of the city are integrated into an analytics platform at the real-time intersection of reality-virtuality. Through learning and exchange of spatiotemporal information with the city, enabled through virtualization and the connectivity offered by Internet of Things (IoT), this Digital Twin of the city becomes smarter over time, able to provide predictive insights into the city's smarter performance and growth.
3D city models are very helpful in providing near realistic effects of any disaster. It can virtually simulate any disaster (bombs, fire, flood, etc.) with great precision and prepare authorities for any potential losses. This will help administrators to carefully plan management of rescue and resource mobilization. 3D city models can immensely help planners from the conceptual development stage to the completion and long-term socio-environmental impact assessment stages. 3D city models will most definitely reduce planning errors and limit potential losses, it will also provide a whole new spectrum of visualization capabilities which will also help monitor the illegal vertical growth of the city and prevent project delays.