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.