This study introduces a structural equation modeling (SEM)-based framework to assess BIM-Digital Twin (BIM-DT) adoption readiness in sustainable construction. The research explores the complex relationships between key success factors (KSFs) and sustainable parameters (SPs), aiming to identify KSFs and SPs, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and provide practical insights. The results highlight the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. The top-ranked KSFs contributing to successful BIM-DT adoption include organizational readiness, availability of technology operators, availability of standards and codes, availability of knowledge and skills, and availability of funds and financial investment. The study also emphasizes the impact of BIM-DT integration on sustainability through environmental, social, and economic dimensions. The research methodology involved a mixed-method approach, including a literature review, brainstorming session, pilot survey, questionnaire survey, and SEM analysis. The SEM model was used to assess the relationships between KSFs and SPs, revealing the relative importance weights of each factor. The results indicate that organizational readiness, technological infrastructure, data privacy and security, knowledge and expertise, financial considerations, and market and external factors are critical for BIM-DT adoption. The study contributes to the understanding of BIM-DT readiness in sustainable construction and provides a framework for assessing the factors influencing its adoption. The findings have implications for project sustainability, decision-making, and the development of sustainable construction practices.This study introduces a structural equation modeling (SEM)-based framework to assess BIM-Digital Twin (BIM-DT) adoption readiness in sustainable construction. The research explores the complex relationships between key success factors (KSFs) and sustainable parameters (SPs), aiming to identify KSFs and SPs, prioritize their relative weights for BIM-DT implementation, analyze KSFs and SPs correlations, and provide practical insights. The results highlight the importance of sustainability considerations in BIM-DT adoption, with cost optimization and resource management playing pivotal roles. The top-ranked KSFs contributing to successful BIM-DT adoption include organizational readiness, availability of technology operators, availability of standards and codes, availability of knowledge and skills, and availability of funds and financial investment. The study also emphasizes the impact of BIM-DT integration on sustainability through environmental, social, and economic dimensions. The research methodology involved a mixed-method approach, including a literature review, brainstorming session, pilot survey, questionnaire survey, and SEM analysis. The SEM model was used to assess the relationships between KSFs and SPs, revealing the relative importance weights of each factor. The results indicate that organizational readiness, technological infrastructure, data privacy and security, knowledge and expertise, financial considerations, and market and external factors are critical for BIM-DT adoption. The study contributes to the understanding of BIM-DT readiness in sustainable construction and provides a framework for assessing the factors influencing its adoption. The findings have implications for project sustainability, decision-making, and the development of sustainable construction practices.