Niveau : Ph.D.

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.

Résultats du projet

The expected results of this PhD research are centered on the development and validation of a multi-scale automated rule compliance checking framework for the built asset industry. The principal result will be an integration framework that brings together three core information sources required for compliance checking: construction rules, BIM-based building information, and GIS-based context information. This framework is expected to support digital rule representation, alignment among heterogeneous data sources, and a higher degree of automation across the compliance checking process. A second expected result is a prototype or case-based implementation demonstrating the practical utility of the framework in the Canadian regulatory context. Through demonstration and evaluation, the research is expected to show improvements in the effectiveness, accuracy, and efficiency of compliance checking compared with conventional manual processes, while also identifying current limitations and areas for refinement. The evaluation is intended to assess the quality of rule representation, the effectiveness of data alignment, the level of automation achieved, and the correctness of automated checking results through comparison with manual assessment and expert feedback. The research is also expected to generate scholarly outputs, including one published conference paper and a series of journal articles covering the literature review, framework development, and validation results. More broadly, the study is expected to provide a flexible, transparent, and white-box foundation that can support compliance checking across multiple development scales—from building to neighborhood and city levels—and across different regulatory levels, including local, provincial, and national contexts.

Contributions du projet

Academic contributions. This research is expected to contribute to knowledge by addressing key gaps in automated rule compliance checking (ARCC), especially the limited integration of rules, BIM data, and GIS context data in a single multi-scale framework. The proposal identifies three core research problems—data availability, interoperability, and lack of automation—and positions the study as a response to these gaps. It will contribute a new framework for multi-scale rule compliance assessment, together with advances in digital rule representation, improved communication and consistent interpretation across BIM, GIS, and rule data, and greater automation of the checking process. The work also aims to extend current understanding of BIM–GIS integration for regulatory applications by proposing a more comprehensive and flexible approach than existing fragmented solutions. In addition, the research is expected to generate scholarly outputs through conference dissemination and journal articles covering the literature review, framework development, and validation of the proposed approach. Industry contributions. For industry, the research is expected to provide a practical framework that improves the efficiency, accuracy, and transparency of compliance checking across the built asset lifecycle. The current manual checking is costly, time-consuming, labor-intensive, and prone to error, and that automation can reduce delays, costs, and assessment errors. The proposed framework is intended to support diverse stakeholders, including designers, planners, authorities, and property owners, by enabling the use of information at multiple development scales, from the building to the neighborhood and city levels. It is also expected to be useful across different regulatory levels—local, provincial, and national—because of its flexible and white-box nature. More broadly, the study aims to support better decision-making, smoother permit and compliance processes, and stronger collaboration among industry stakeholders involved in AECO and urban planning.

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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