A Multi-Level BIM–GIS Integration Framework for Automated Construction Code Compliance Checking
Abstract
This PhD research addresses the limitations of manual rule compliance checking in the built asset industry, which remains time-consuming, costly, labor-intensive, and prone to error. Although automated rule compliance checking (ARCC) has been widely studied, major gaps remain in rule digitalization, semantic interoperability, and end-to-end automation. BIM provides detailed building-level information, but it is insufficient for many rules that also depend on neighborhood- and city-scale context, such as zoning and planning regulations; GIS complements BIM by providing this broader spatial context. This research therefore proposes a multi-level BIM–GIS integration framework for automated construction code compliance checking. Using a Design Science Research approach, the study will develop and validate a framework that supports three core functions: digital representation of rules, alignment among rules, BIM, and GIS, and greater automation of the checking process. The expected outcome is a flexible, transparent, and scalable foundation for multi-level compliance assessment in the Canadian context.
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Contributions du projet
Leygonie R., Motamedi A. and Iordanova I. (2020). Design and Implementation of Procedures and Automated Tools for FM-BIM Quality Management, CSCE2020.
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