Geometry level of information needs for digital building permit regulations

Conference paper (2024)

Authors

S. El Yamani Urban Data Science - Architecture and the Built Environment
J.E. Stoter Urban Data Science - Architecture and the Built Environment
F. Noardo Open Geospatial Consortium (OGC)
Amir Hakim Urban Data Science - Architecture and the Built Environment
G.A.K. Arroyo Ohori Urban Data Science - Architecture and the Built Environment
J.A.J. van der Vaart Urban Data Science - Architecture and the Built Environment
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
More Info
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Published Date

2024

Language

English

Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

Abstract

In the evolving landscape of digitalization, automating building permit processes are crucial for municipalities and other governmental bodies. Our research addresses the complexities of modeling digital building permit regulations, considering the level of the information needs (LoIN) for geometry-based regulations in four municipalities (Prague, Lisbon, Vila Nova de Gaia, and Ascoli Piceno) as case study. We propose a methodology and guidelines for geometrical building modeling, addressing challenges of integrating geoinformation with Building Information Modeling (BIM) for environmental based digital building permit (DBP) checks. This paper provides BIM-IFC geometrical interpretation choices, ensuring a seamless conversion into 3D city models. It offers insights for software companies, developers, and standardization organizations towards in implementing DBP checks, and preliminary results for a future scalable approach.