Purpose – The study aims to reveal how LEED credits interact to optimize sustainability outcomes. By identifying critical credits, this research provides a strategic framework for more efficient decision-making in green building certification.
Design/methodology/approach – The study uses network analysis to examine relationships between LEEDNC v3 credits in multifamily residential projects. Data from 869 projects were analyzed using JASP software, focusing on key sustainability credit interactions and centrality measures to identify high-leverage credits.
Findings – The analysis shows a sparse network, with key credits like EA1 (Optimize Energy Performance) and MR1.1 (Building Reuse) being highly influential. Focusing on these high-centrality credits can significantly enhance sustainability outcomes.
Research limitations/implications – The study is limited to LEED-NC v3 multifamily residential projects. For broader applicability, further research could explore other building types and LEED versions.
Practical implications – The findings offer a roadmap for project teams to prioritize impactful credits, improve sustainability outcomes, and streamline the LEED certification process.
Social implications – The study promotes sustainability by identifying critical LEED credits that help reduce resource consumption and environmental impact. This can lead to healthier living environments and improved well-being for communities, supporting broader social and environmental goals.
Originality/value – This research uniquely applies network analysis to LEED credits, offering new insights into optimizing the certification process. It provides a valuable framework for green building practitioners to make more strategic decisions, ultimately improving sustainability outcomes in construction projects.
