Local Digital Twins for Cities and Regions: The Way Forward
| dc.contributor.author | Charalabidis, Yannis | |
| dc.contributor.author | Zitianellis, Dimitrios | |
| dc.contributor.author | Kontos, Gerasimos | |
| dc.date.accessioned | 2025-07-16T05:12:38Z | |
| dc.date.available | 2025-07-16T05:12:38Z | |
| dc.date.issued | 2025 | |
| dc.description | Digital solutions promise significant value that was impossible to realise before the advent of connected, intelligent technologies. The idea of a digital twin, which is at the forefront of the fourth industrial revolution, seems to have been particularly intriguing of late and, in simple terms, is a near real-time digital image of a physical object or process that helps improve performance in different areas to optimise sectors. Academia and organisations define digital twins in different ways, but the first definition was suggested by Grieves in his article titled “Digital Twin: Manufacturing Excellence through Virtual Factory Replication”. | |
| dc.description.abstract | Local Digital Twins (LDTs) appear as a novel approach within the fourth industrial revolution for advancing governance and citizen participation, exploring new ways and providing new opportunities in sensing data, understanding complex phenomena and forecasting the future. The idea of LDTs, that is the application of digital twin technology in a municipality, region or even country level, promises new services and digital means for citizens, in an effort to tackle most of the problems and provide new services to all aspects of life. Within this context, the present chapter analyses the notion, the possibilities, and the state-of-the-art applications of the LDT concept, and then focuses on the possible future developments of this novel technical and societal approach. In this direction, the chapter presents what can be achieved through the convolution of LDTs with breakthrough developments in emerging technologies such as Artificial Intelligence, Machine Learning and the Internet of Things (IoT), which ultimately result in the development of new applications and services for the intelligent city and the region of tomorrow. Keywords: Artificial intelligence, Citizen science, Digital governance, Digital twins, Internet of things, Local digital twins, Smart cities | |
| dc.identifier.citation | Charalabidis, Y., Kontos, G., & Zitianellis, D. (2025). Local Digital Twins for Cities and Regions: The Way Forward. In Decide Better: Open and Interoperable Local Digital Twins (pp. 233-259). Cham: Springer Nature Switzerland. | |
| dc.identifier.doi | https://doi.org/10.1007/978-3-031-81451-8_9 | |
| dc.identifier.uri | https://repository.adu.ac.ae/handle/1/7297 | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.title | Local Digital Twins for Cities and Regions: The Way Forward | |
| dc.type | Book chapter |