CODECHECK Certificate 2025-010
Paper details
Authors: Ayda Grišiūtė, Martin Raubal, Pieter Herthogs
Abstract: Obtained from OpenAlex
Abstract. This study addresses the challenge of evaluating Singapore’s long-term urban strategy by quantifying the impact of planning regulations, a task often hampered by fragmented data and siloed tools. To overcome these limitations, we developed a data-driven workflow using Semantic Web Technologies (SWT). Central to this workflow are two ontologies: OntoPlanningRegulations, which captures a subset of Singapore’s planning rules, and OntoBuildableSpace, which defines measurable 3D spaces within urban plots. These ontologies integrate diverse regulatory data into a structured Knowledge Graph (KG), connecting regulations to 3D urban models. This approach bridges document-based urban policies and advanced urban analytics, offering an automated methodology to generate 3D master plans. In doing so, it provides valuable information on the cumulative impacts of regulations on the future urban form of the city.
CODECHECK details
Certificate identifier: 2025-010
Codechecker name: Luke McQuade
Time of check: 2025-03-23 12:00:00
Repository: https://osf.io/FXKWS
Full certificate: https://doi.org/10.17605/OSF.IO/gv2z4
Type: conference
Venue: AGILEGIS
Summary:
A partial reproduction, using intermediate results provided by the authors, was successfully achieved. Table and figure content were generated and materially match with those in the paper. Some minor code changes to match my environment were needed. I initially attempted a full reproduction, but had to abandon this due to time constraints.
Cite this certificate: Citation metadata retrieved from data.crosscite.org
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