Computational building information modelling-based methods for spatial analysis in architectural design

Bayraktar Sari, Aysegul Ozlem ORCID: https://orcid.org/0009-0008-4067-9552 and Jabi, Wassim ORCID: https://orcid.org/0000-0002-2594-9568 2026. Computational building information modelling-based methods for spatial analysis in architectural design. Presented at: 20th International Conference on Design Principles & Practices, Rome, Italy, 25–27 February 2026.

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Abstract

This paper presents a computational method that integrates Building Information Modelling (BIM) with spatial analysis tools to support architectural design and spatial decision-making. By embedding spatial reasoning directly into BIM environments such as Revit through Dynamo, the method enables real-time exploration of spatial configurations and performance metrics within the design environment. Utilizing Python scripting, the AVA (Accessibility and Visibility Analysis) package, and the TopologicPy library, the approach supports isovist, visibility, accessibility, and connectivity analyses. These analyses are visualized in real-time, allowing designers to assess spatial qualities through graph-based measures such as integration, connectivity, and step depth. The method emphasizes flexibility and reusability, enabling customized workflows using Revit parameters and user-defined scripts. A residential building case study demonstrates how both metric and topological values can be computed, visualized, and exported to inform design thinking. The proposed approach supports not only spatial analysis but also iterative design development by integrating performance feedback directly into the modeling process. A comparative discussion with traditional space syntax tools highlights the benefits of this BIM-based computational workflow. This study contributes to architectural design practices by proposing a method that enhances spatial awareness, supports real-time decision-making, and encourages performance-informed design iterations. It is applicable across academic and professional contexts where data-driven approaches and spatial logic are central to the design process.

Item Type:	Conference or Workshop Item - unpublished
Date Type:	Completion
Status:	Unpublished
Schools:	Schools > Architecture
Subjects:	N Fine Arts > NA Architecture
Last Modified:	20 May 2026 09:05
URI:	https://orca.cardiff.ac.uk/id/eprint/187120

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