Urban Digital Twins: Innovative geospatial solutions, Applications, and Future Trends
Submission DeadLine: 01 May 2025
Digital Twins (DT) are transforming the way we understand, manage, and develop urban and regional environments. By creating digital replicas of physical systems, DTs provide a dynamic platform for informed decision-making, integrating vast amounts of spatial and non-spatial data. This Special Issue focuses on the innovative applications of Digital Twins in enhancing urban sustainability, mobility, and navigation. As cities face global challenges such as climate change, energy transition, and the need for smarter, more inclusive mobility solutions, the role of Digital Twins becomes increasingly crucial. These technologies enable the seamless integration of Building Information Modelling (BIM), Geospatial Information Systems (GIS), Internet of Things (IoT), and Artificial Intelligence (AI) to create 2D and 3D models of urban and regional spaces. These models are not static; they evolve over time, incorporating past, present, and future data to support real-time decision-making.
This Special Issue aims to bring together interdisciplinary research that bridges the gap between theoretical advancements and practical implementations of Digital Twins. We invite contributions that explore the development of semantically rich city models, innovative mobility and navigation solutions, and the ethical and security implications of DT adoption. By showcasing real-world examples and case studies, this issue will highlight the potential of Digital Twins to improve urban livability, productivity, and resilience.
This is a Joint Virtual Special Issue with Journal Geomatica. The accepted articles to JAG special issue will be applied a 30% discount, while the papers accepted to GEOMAT SI will enjoy a 100% discount.
Guest editors:
Dr. Mila Koeva
University of Twente, ITC Faculty, Department of Urban and Regional Planning and Geo-information Management (PGM), Enschede, The Netherlands
m.n.koeva@utwente.nl
Dr. Sisi Zlatanova
UNSW Sydney, Sydney, Australia
s.zlatanova@unsw.edu.au
Dr. Peng Luo
Senseable City Lab, MIT, Cambridge, MA, USA
pengluo@mit.edu
Dr. Zhizhong Kang
School of Land Science and Technology, China University of Geosciences, Beijing, China
zzkang@cugb.edu.cn
Manuscript submission information:
Authors can submit manuscripts for the Special Issue using Editorial Manager, the online submission system for the International Journal of Applied Earth Observation and Geoinformation. Please select ‘VSI: Urban Digital Twins’ as the article type.
Please submit the full manuscript to https://www.editorialmanager.com/jag/default.aspx, by 01 May, 2025.
Keywords:
Digital twins, 3D city modelling, urban planning, GIS, spatial planning, mobility, navigation, urban sustainability, data integration, urban data platform, BIM
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