State of the Art in 3D City Modelling

Six Challenges Facing 3D Data as a Platform

Journal Article (2020)
Authors

Jantien Stoter (TU Delft - Urban Data Science)

Ken Arroyo Ohori (TU Delft - Urban Data Science)

B. Dukai (TU Delft - Urban Data Science)

Anna Labetski (TU Delft - Urban Data Science)

K. Kumar (TU Delft - Urban Data Science)

Stelios Vitalis (TU Delft - Urban Data Science)

Hugo Ledoux (TU Delft - Urban Data Science)

Research Group
Urban Data Science
Copyright
© 2020 J.E. Stoter, G.A.K. Arroyo Ohori, B. Dukai, A. Labetski, Kavisha Kumar, S. Vitalis, H. Ledoux
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Publication Year
2020
Language
English
Copyright
© 2020 J.E. Stoter, G.A.K. Arroyo Ohori, B. Dukai, A. Labetski, Kavisha Kumar, S. Vitalis, H. Ledoux
Research Group
Urban Data Science
Volume number
34
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Abstract

Semantically enriched 3D city models have the potential to be powerful hubs of integrated information for computer-based urban spatial analysis. This article presents the state of the art in 3D city modelling in the context of broader developments such as smart cities and digital twins, and outlines six challenges that must be overcome before 3D data as a platform becomes a reality.

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