A multi-dimensional digital twin use cases classification framework

Ramy Elsehrawy*, Bimal Kumar, Richard Watson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


The concept of a Digital Twin [DT] has been gaining increasing attention in the realm of urban planning and city infrastructure management. In support of this movement, DT advocates have been consistently casting light on the possible DT use cases to better manifest its potential and the enormous value it promises to unlock. However, these attempts are arguably limited by the lack of a formal and standard DT use cases classification framework. Hence, this paper puts forward a multidimensional DT use cases classification framework, based on published key DT case studies and a framework development methodology, to address this limitation. It concludes with insights on further possible implications of, and enhancements to this framework.
Original languageEnglish
Title of host publicationProceedings of the 2021 European Conference on Computing in Construction
EditorsJames Donnell, Daniel Hall, Dragana Nikolic, Athanasios Chassiakos
Place of PublicationDublin
PublisherUniversity College Dublin
Number of pages9
ISBN (Electronic)9783907234549
Publication statusPublished - 26 Jul 2021
Event2021 European Conference of Computing in Construction (2021 EC³) - Online Conference, Rhodes, Greece
Duration: 19 Jul 202128 Jul 2021


Conference2021 European Conference of Computing in Construction (2021 EC³)
Abbreviated title2021 EC3
Internet address


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