Evidence-Based Interior Analysis Model: An ICT-Based Methodological Framework for Analyzing Spatial Behavior in Interior Environments

Abstract

Despite the increasing availability of digital tools for analyzing spatial behavior in interior environments, interior design studies often rely on conventional methods that do not fully integrate both objective and subjective insights, thereby limiting a comprehensive understanding of how users interact with space. This article proposes the Evidence-Based Interior Analysis (EBIA) model, an original methodological framework specifically designed for public-use interiors. The model offers a unique integration of Indoor Positioning Systems with user perception surveys within a unified structure. This integration enables the capture of both behavioral patterns and experiential feedback, facilitating their joint analysis for interior design decisions. The model is grounded in three foundational pillars: Spatial behavior studies, evidence-based design, and information and communication technologies. Rather than reporting a specific case study, the article outlines the conceptual and methodological formulation of the EBIA model. It proposes a dynamic, iterative approach that challenges conventional linear design processes and facilitates the development of responsive, user-centered, and sustainable interior environments by aligning spatial configurations with user behavior and long-term functionality. Scalable and applicable across diverse spatial contexts, the EBIA model addresses a critical methodological gap by bridging data-driven analysis with behavior-informed spatial design.