Smart City Gnosys
Smart city article details
| Title | Digital Twin For Smart City Resilience And Solutions |
|---|---|
| ID_Doc | 20196 |
| Authors | Sivarethinamohan R.; Samiksha Reddy R. |
| Year | 2025 |
| Published | Digital Twin and Blockchain for Smart Cities |
| DOI | http://dx.doi.org/10.1002/9781394303564.ch25 |
| Abstract | The term “digital twin” initially gained popularity in the early 2000s. The current paradigm of city governance has a great chance to change because of digital twins. The key defining feature of the emerging digital twin and its initiatives is the exponential pace of change. Digital twins integrate software analytics, machine learning, artificial intelligence, and the Internet of Things with spatial network graphs (SNG) to build simulation models. By 2023, the global market for digital twins was expected to have grown to $16 billion at a compound annual growth rate of 38%. At a compound annual growth rate (CAGR) of 61.3%, the size of the worldwide digital twin market was expected to increase from USD 10.1 billion in 2023 to USD 110.1 billion by 2028. Digital twins are becoming more and more common, being used in a variety of sectors, and being indispensable for smart cities. Therefore, this chapter focuses on well-known use cases like digital twins of factories, offices, hospitals, and international space stations. It also investigated real-world applications, including Virtual Singapore, an ecosystem of connected digital twins in the United Kingdom, the Four Platforms, Yingtan’s One Center model, reviving the city center in Oshkosh, Wisconsin, and the Amsterdam Digital Twin Project. Holistic Urban Planning in Maracaibo, Venezuela; Digital Twin-Based Urban Planning in New York City; and Urban Shadow in Boston. It addresses the contemporary growth of city digital twins. It describes how smart towns are constructed using Digital Twins applications. It provides an overview of digital twin solutions at various phases of acceptance and maturity. It also explores the layers required for the Digital Twin of a Smart City and creating an Urban Intelligence Platform. It elaborates on the technology enablers used in smart city construction, as well as their core characteristics and potential benefits. As we stand on the threshold of this urban transformation, digital twins urge us to a brighter, more responsive urban tomorrow. © 2024 Scrivener Publishing LLC. |
| Author Keywords | big data analytics; predictive modeling; simulation; technology enablers; terrain; Urban shadow |
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