Decision-Support Framework for Mitigating Construction Waste in Infrastructure Construction Projects

Construction waste remains a significant obstacle to reaching sustainable infrastructure development, especially in developing and post-conflict regions like Iraq. This study presents a complete Decision-Support Framework (DSF) aimed at reducing construction waste by combining quantitative evaluation with expert judgment within a cohesive methodological framework. A mixed-methods approach was employed, utilizing questionnaire surveys, expert interviews, and various analytical techniques Relative Importance Index (RII), Exploratory Factor Analysis (EFA), and the Analytic Hierarchy Process (AHP) to identify, categories, and priorities factors contributing to waste generation. Additionally, multiple linear regression (MLR) analysis was used to statistically confirm the effect of mitigation measures on total waste reduction performance .The findings indicate that insufficient planning, ineffective material storage, and recurrent design alterations are the primary factors contributing to material inefficiencies and residual waste. Regression analysis indicates that planning and scheduling efficiency, material handling and storage procedures, and workforce supervision have the most significant beneficial influence on waste reduction results. The created DSF integrates the results of RII, EFA, AHP, and MLR into a systematic, implementation-focused instrument aimed at facilitating evidence-based decision-making in infrastructure projects. The framework prioritizes early-stage planning, digital integration (BIM and GIS), and on-site waste segregation. This study offers theoretical and managerial contributions by contextualizing global best practices for Iraq's construction industry and presenting a replicable model for other developing nations aiming to align with sustainable development goals through resource-efficient and sustainable construction management.