Integrating Spatial Analytics for Human-Centric Architectural Design Optimization
Abstract
Effective architectural design requires a balance between spatial efficiency and human-centric usability. This study presents an interactive spatial analysis framework that combines static and dynamic modeling techniques to enhance design decision-making. By leveraging real-time spatial feedback and behavioral simulations, the system enables architects to optimize accessibility, circulation, and crowd dynamics within built environments. Experimental validation demonstrates the framework’s ability to refine spatial layouts, improving functional adaptability and user experience in architectural planning. These findings highlight the potential of computational spatial analytics in shaping future human-aware urban infrastructure.
Fields of Study & Subjects
Urban Design and Spatial Analysis
Evacuation and Crowd Dynamics
Architecture and Computational Design
Publication details
- Journal / source
- Atlantis highlights in engineering/Atlantis Highlights in Engineering
- Publisher
- Atlantis Press International BV
- Pages
- 868–875
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Book chapter