AI, BIM and Achieving the SDGs: Exploring the Gaps for a Sustainable Construction Industry

Abstract

The construction industry is at the forefront of adopting innovative technologies to meet the global challenges posed by sustainable development. This study explores the intersection of Artificial Intelligence (AI), Building Information Modeling (BIM), and the achievement of the United Nations Sustainable Development Goals (SDGs) within the construction sector. Through a comprehensive review of existing studies, the research investigates how AI and BIM can synergistically contribute to achieving key SDGs, such as sustainable cities and communities, responsible consumption and production, and climate action. The data was obtained from the Scopus database using keywords to extract it. The study findings highlight that AI enhances BIM capabilities by providing predictive analytics, optimizing resource management, improving decision-making processes, and promoting sustainability throughout the construction lifecycle. It also identifies the various research areas and future directions. The research concludes that while the nexus between AI, BIM, and SDGs presents significant opportunities for advancing sustainability in construction, a strategic and collaborative approach is necessary to fully realize their potential and overcome existing barriers. This study provides valuable insights for industry stakeholders, policymakers, and researchers aiming to leverage emerging technologies to drive sustainable development in construction.