State of the Art in 3D City Modelling

Six Challenges Facing 3D Data as a Platform

Journal article (2020)

Authors

J.E. Stoter Urban Data Science - Architecture and the Built Environment
G.A.K. Arroyo Ohori Urban Data Science - Architecture and the Built Environment
B. Dukai Urban Data Science - Architecture and the Built Environment
A. Labetski Urban Data Science - Architecture and the Built Environment
Kavisha Kumar Urban Data Science - Architecture and the Built Environment
S. Vitalis Urban Data Science - Architecture and the Built Environment
H. Ledoux Urban Data Science - Architecture and the Built Environment
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
Copyright: © 2020 J.E. Stoter, G.A.K. Arroyo Ohori, B. Dukai, A. Labetski, Kavisha Kumar, S. Vitalis, H. Ledoux
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Published Date

2020

Language

English

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Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

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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