Color differences between Urban Digital Twin and the real city. Optimisations and compensations
DOI:
https://doi.org/10.23738/CCSJ.170212Keywords:
Urban Digital Twin, digital urban colors, Color Validity Index - C.V.I.Abstract
With the rapid development of science and technology, urban digital twins have gradually become an essential tool for city planning and management, integrating real-time data such as traffic and energy consumption, and transforming our cities into smarter and more responsive environments. By creating virtual digital twin cities, urban management operations can be monitored and optimised in a more efficient and accurate manner, opening up new scenarios also projected towards the evolution of new development models for a better quality of life.
On the basis of these premises and above all considering color as a key element in the visual perception of a city, the aim of this contribution is to verify whether in digital twins cities retain their color peculiarities and what the methodological criteria of reliability might be for a new way of managing color, considering the new technologies available.
Referring to some examples of digital twins of cities published on the web and in particular referring to the Helsinki project, the essay aims to investigate whether and to what extent there are color differences between the virtual and the real vision of the city and what can be, on the basis of the results collected, possible optimisations or compensations to consider the Urban Digital Twin as a documental source also in color management both in the field of urban design and redevelopment and in the survey of the state of places.
References
AA.VV. (2023) Digital Twin Cities: Key Insights and Recommendations. World Economic Forum. Insight Report. August at https://www3.weforum.org/docs/WEF_Digital_Twin_Cities_2023.pdfs (Accessed: 2 April 2025).
Chen, Z. et al. (2018) 'Analyzing Color Difference Evaluation Methods for Digital Twin Models of Urban Architecture', International Journal of Architectural Computing, 16(4), pp.271-289.
Mazzetto, S. (2024) A Review of Urban Digital Twins Integration, Challenges, and Future Directions. Smart City Development. Sustainability 2024, 16, 8337 at https://doi.org/10.3390/su16198337 (Accessed: 2 April 2025).
Ogunsakin, R., Mehandjiev, N., & Marin, C. A. (2023) 'Towards adaptive digital twins architecture', Computers in Industry, 149(March), 103920. DOI: 10.1016/j.compind.2023.103920.
Parraga, C. A., Troscianko, T., & Tolhurst, D. J. (2002) 'Spatiochromatic properties of natural images and human vision', Journal of Vision, 2(7), pp.532-555.
Schanda, J. (2007) Colorimetry: Understanding the CIE System. Hoboken, NJ:Wiley-Interscience, pp.72-78.
Wurm, M. et al. (2024) 'Towards Urban Digital Twins: A Workflow for Procedural Modeling from Remote Sensing Data', Remote Sensing, 16(11), 1939 at https://doi.org/10.3390/rs16111939 (Accessed: 2 April 2025).
Zhang, H., & Liu, Y. (2023) 'Advances in Urban Digital Twin Applications: Color Management and Perception Challenges', Buildings, 13(4), 1004. https://doi.org/10.3390/buildings13041004 (Accessed: 2 April 2025).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Dr. Martone M., Dr. Fan Tiantian

This work is licensed under a Creative Commons Attribution 4.0 International License.
The "Cultura e Scienza del Colore - Color Culture and Science" journal is registered at the Court of Milan at n.233 of 24.06.2014.
The journal is a diamond open access journal, free for readers and authors and has joined ROAD, the Directory of Open Access scholarly Resources, since 2014. Articles published in the “Cultura e Scienza del Colore - Color Culture and Science" journal are open access articles, distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s).