Research on the Optimization Path of Green Building in China under the Background of Digital Economy

This paper explores four optimization paths to address the challenges of green buildings within the context of the digital economy. The optimization paths include full-process management, data support, standardization, and interdisciplinary talent cultivation. Each path is meticulously analyzed through its independent and dependent variables. Data is collected from various sources, including project management systems, BIM software, data management platforms, and industry reports. Utilizing a multivariate linear regression model, the effectiveness of these optimization paths is evaluated. The results demonstrate that the proposed optimization strategies significantly improve the performance and sustainability of green buildings. Additionally, this paper uses multi-criteria decision analysis to evaluate and score optimized and non-optimized green buildings. The results demonstrate that the optimized paths still meet the comprehensive performance evaluation standards for green buildings and are superior in overall evaluation compared to non-optimized green buildings. By validating the efficacy of these paths, the paper underscores the rationality and practicality of integrating digital economy principles into green building practices. This comprehensive approach not only addresses current issues but also paves the way for future advancements in green building technology and management.