Comparative Analysis of Digital Twins in Smart Cities
Jolien Ubacht; Joep Crompvoets; Csaba Csáki; Lieselot Danneels; Marijn Janssen; Marius Rohde Johannessen; Thomas Lampoltshammer; Habin Lee; Ida Lindgren; Sara Hofmann; Peter Parycek; Gabriela Viale Pereira; Gerhard Schwabe; Iryna Susha; Efthimios Tambouris; Anneke Zuiderwijk (Hrsg). Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects of the International Conference EGOV-CeDEM-ePart 2024. Ghent University and KU Leuven, Ghent/Leuven, Belgium, September 1-5, 2024. Aachen: CEUR/RWTH 2024 S. 1 - 12
Erscheinungsjahr: 2024
ISBN/ISSN: 1613-0073
Publikationstyp: Diverses (Konferenzbeitrag)
Sprache: Englisch
Inhaltszusammenfassung
Digital twin is a rising market in both, public and private sectors. Many city projects, like Herrenberg, Rotterdam, New York, and Connected Urban Twin (CUT, in Germany) develop digital twins to explore their possibilities and improve the quality of life in the city. In this paper, we review literature on smart city and digital twins to build the scientific knowledge base and to provide an understanding of these concepts. Subsequently, a comparative case analysis is conducted to compare the c...Digital twin is a rising market in both, public and private sectors. Many city projects, like Herrenberg, Rotterdam, New York, and Connected Urban Twin (CUT, in Germany) develop digital twins to explore their possibilities and improve the quality of life in the city. In this paper, we review literature on smart city and digital twins to build the scientific knowledge base and to provide an understanding of these concepts. Subsequently, a comparative case analysis is conducted to compare the cities’ digital twin projects regarding their project focus, budget, data, (data) architecture, used technologies and citizen participation. Rotterdam provides an openly available 3D model along with research data standardization, interoperability and connected urban twins. While Herrenberg focuses on a participative collaborative planning process, New York focuses on the use of AI. The results indicate that the projects face challenges regarding data standardization, interoperability, and visualization. Yet, interoperability and data handling are particularly crucial for the implementation of a digital twin and for leveraging the relevant data. Future research should investigate best-practices and challenges in a more comprehensive way.» weiterlesen» einklappen