The role of complexity for digital twins of cities.

Autor: Caldarelli G; DSMN University of Venice Ca'Foscari, Venice, Italy. Guido.Caldarelli@unive.it.; ISC-CNR, Dipartimento di Fisica, Università Sapienza, Rome, Italy. Guido.Caldarelli@unive.it.; London Institute for Mathematical Sciences, London, UK. Guido.Caldarelli@unive.it.; Fondazione per il futuro delle città, Florence, Italy. Guido.Caldarelli@unive.it., Arcaute E; CASA,The Bartlett Centre for Advanced Spatial Analysis, UCL, London, UK.; The Alan Turing Institute, The British Library, London, UK., Barthelemy M; Université Paris-Saclay, CNRS, CEA, Institut de Physique Théorique, Gif-sur-Yvette, France.; Centre d'Analyse et de Mathématique Sociales CAMS, UMR 8557 CNRS-EHESS, Ecole des Hautes Etudes en Sciences Sociales, Paris, France., Batty M; CASA,The Bartlett Centre for Advanced Spatial Analysis, UCL, London, UK.; The Alan Turing Institute, The British Library, London, UK., Gershenson C; Universidad Nacional Autónoma de México, Mexico City, Mexico.; Santa Fe Institute, Santa Fe, NM, USA., Helbing D; ETH Zurich, Computational Social Science, Zurich, Switzerland.; Complexity Science Hub, Vienna, Austria., Mancuso S; Fondazione per il futuro delle città, Florence, Italy.; Department of Agriculture, Food, Environment and Forestry (DAGRI), Florence, Italy., Moreno Y; Complexity Science Hub, Vienna, Austria.; Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, Spain.; Department of Theoretical Physics, Faculty of Sciences, University of Zaragoza, Zaragoza, Spain.; CENTAI Institute, Turin, Italy., Ramasco JJ; Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Palma de Mallorca, Spain., Rozenblat C; Institute of Geography and Sustainability, UNIL, Lausanne, Switzerland., Sánchez A; Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, Zaragoza, Spain.; Grupo Interdisciplinar de Sistemas Complejos (GISC), Departamento de Matematicas, Universidad Carlos III de Madrid, Getafe, Spain., Fernández-Villacañas JL; Technologies for Smart Communities, DG CNECT, European Commission, Brussels, Belgium.
Jazyk: angličtina
Zdroj: Nature computational science [Nat Comput Sci] 2023 May; Vol. 3 (5), pp. 374-381. Date of Electronic Publication: 2023 May 01.
DOI: 10.1038/s43588-023-00431-4
Abstrakt: We argue that theories and methods drawn from complexity science are urgently needed to guide the development and use of digital twins for cities. The theoretical framework from complexity science takes into account both the short-term and the long-term dynamics of cities and their interactions. This is the foundation for a new approach that treats cities not as large machines or logistic systems but as mutually interwoven self-organizing phenomena, which evolve, to an extent, like living systems.
(© 2023. Springer Nature America, Inc.)
Databáze: MEDLINE
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