Theoretical Frameworks That Integrate Quantitative Methods and Operations Research With the Design Thinking Process in Group Housing Design

Abstract

This study explores theoretical frameworks that integrate design thinking approaches with quantitative analysis and systems optimization to improve group housing design. While methods rooted in empathy and iterative problem-solving inform user needs, techniques from operations research and data-driven modeling enhance decision-making in complex spatial and social environments. Core methodologies discussed include Agent-Based Modeling (ABM) for simulating social-spatial dynamics and multi-objective optimization algorithms that address trade-offs between performance criteria such as cost, efficiency, and communal satisfaction. Tools like parametric modeling and collaborative decision-support systems further embed stakeholder input into adaptive design processes. The paper highlights existing gaps in integrating qualitative and quantitative feedback mechanisms and proposes strategies for scalable, responsive, and contextually relevant group housing solutions.