Smart City Gnosys

Smart city article details

Title	Digital Twin-Supported Smart City: Status, Challenges And Future Research Directions
ID_Doc	20260
Authors	Wang H.; Chen X.; Jia F.; Cheng X.
Year	2023
Published	Expert Systems with Applications, 217
DOI	http://dx.doi.org/10.1016/j.eswa.2023.119531
Abstract	A city can be considered a carrier of multiple sources of data and information that are updated in real time and experiences continuous operation and development. Therefore, a system that can obtain and manage data/information gathered from different physical objects in a city in real time is needed. Digital twin (DT) technology is a virtual representation of an object or system that spans its lifecycle; it is updated from real-time data and uses simulation, machine learning and reasoning to help with decision-making. However, how to apply these features of the DT to better manage smart cities (SCs) has not yet been systematically summarized and analysed. In this study, 202 papers on DT-supported SCs are reviewed, based on which the drivers and challenges of applying DTsupported SCs and the solutions for the challenges were identified. In addition, this study explored the possible outcomes of applying DT-supported technologies in SCs. This study also contributes to the DT-supported SCs for city management research and practice.
Author Keywords	Data management; Digital twin; Information management; Literature review; Smart city

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