Data Models for Digital Twin Cities: towards extensible, semantic and linked data models from diverse urban domains

Jorge Gil, Graham Kemp, Monica Ek

Every actor engaged with Digital Twins for urban design and planning uses digital data and digital tools. The process of data acquisition and ingestion is ad hoc, time consuming, repetitive, based on individual practices; the results are kept in siloes and sharing knowledge requires additional effort, if at all possible. To enable collaboration and address complex cross-disciplinary challenges of sustainable urban development, Digital Twins need to provide access to the required urban data and any results produced by the different actors.

The project proposes to develop extensible, semantic and linked data models for Digital Twin Cities, that provide representations of the information used and produced in the process of urban design and planning, at different levels of detail and resolution, accessible to all users of the Digital Twin. These data models are materialised in databases for a series of use cases, departing from users’ practice and meeting users’ needs, and building on existing national and international standards. The Digital Twin platform will integrate the data from different knowledge domains, offering interoperability to unlock the potential in data.

Collaboration:

Ramboll, Åfry, Paramountric, Wiinio, GATE Institute, SKR, Linköpingskommun, Landvettersödra, Akademiska Hus

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Project timeframe: 2021–  2024

Funding: Vinnova and Chalmers