ISPRS WG IV/9
Spatially Enabled Urban and Regional Digital Twins
Digital Twin (DT) technologies have been already used in domains such as manufacturing, health care, transportation, etc. These technologies also allow for the creation of digital replicas of our urban physical systems that can support informed decision-making through the seamless integration of a myriad of data collection and analytic techniques. Considering cities as complex dynamic systems which can also be spatially and temporally monitored, urban and regional digital twins can be used to improve sustainability, livability, productivity, efficiency, and overall quality of life and services.
In this context, the WG aims to promote interdisciplinary research aiming at developing solutions that can address global challenges such as climate change, biodiversity loss, pandemics, energy transition, smart mobility, lack of land tenure security, emergency responses, and pollution, among others. The solutions may incorporate developments on 2D and 3D semantically rich city or regional models, including their temporal dimension, i.e., their past, current, and future representations. Consequently, the WG will explore the added value of integrated spatial and non-spatial information, sensor data, Building Information Modelling (BIM), Geospatial Information Systems (GIS), Internet of Things (IoT), Artificial Intelligence (AI), Virtual Reality (VR), and Urban Decision Support Systems (UDSS) towards digital twinning of our living environment.
Finally, the WG is aiming at bridging the gap between scientific research and practitioners, showing, on the one hand, real examples of implementation of best practices of Digital Twin technologies in real contexts and, on the other hand, acting as a platform to foster ideas for new multi-domains and intelligent approaches and applications.
Working Group Officers
|Mila N. Koeva|
University of Twente
Faculty Geo-Information Science and Earth Observation (ITC)
Delft University of Technology
|Lucía Díaz Vilariño|
University of Vigo
Department of Design in Engineering
School of Industrial Engineering
Lassonde School of Engineering
Computational Methods Lab
College of Architecture and Urban Planning
Terms of Reference
- Develop innovative geospatial or artificial intelligence based methods for real-time data analysis and data fusion and dynamic representation towards building, urban and regional digital twins
- Review and combine methodologies for BIM, GIS, sensors, and IoT data integration and multi-dimensional web-based and VR/AR visualization
- Promote testing, adaptation, and development of semantically rich and standardized 3D city models by incorporating multidisciplinary approaches for multi
-dimensional dynamic representation of buildings, cities, and regions
- Foster communication among scientists and practitioners from heterogeneous applications domains in order to facilitate understanding of common problems and develop implementable solutions
- Foster discussion among different stakeholders about the implications associated with the adoption of
digital twins in the real-world (e.g. challenges, opportunities, ethics, security, privacy)
- Disseminate new technical and methodological advances, innovations, and research outcomes in the field of both academic audiences (e.g., publications, seminars, workshops) and public (e.g., blog posts, exhibitions, public talks).
- Establish strong links between relevant international and regional organizations in order to achieve fruitful collaboration