为科学实现城市中心节点交通功能最优化、资源利用集约化、施工安全便利化的方案设计，结合光谷综合体地下交通枢纽工程实践，提出基于最小熵值的地下交通枢纽数字化设计方法。首先，结合BIM及有限元仿真交互的数字化方法，对建造方案进行仿真模拟、可视化推演、迭代优化；其次，基于各专业主要设计要求对提出的关键控制指标、特征指标等评价参数进行层次分析、归一化取值，建立熵值计算量化分析体系；最后，通过数字化方法进行交通枢纽建造方案迭代优化，基于最小熵值原则，获得交通枢纽最优建造方案。基于最小熵值的地下交通枢纽数字化设计方法，实现了交通枢纽建造方案在多专业不同影响因素中优化的量化平衡，获得可量化考察的最优方案。

Addressing the complexities of optimizing transportation functions, efficient resource utilization, and ensuring safe, convenient construction plans for urban central hubs presents significant challenges. Focusing on the Optics Valley Complex underground transportation hub project, a digital design method based on minimum entropy value is introduced. First, the digital BIM method and finite element simulation interaction are employed to simulate, visually analyze, and iteratively optimize the construction schemes. Second, to address the primary design requirements for each specialty, evaluation parameters, such as key control and characteristic indices, are used. These parameters are processed using an analytical hierarchy process and normalized values to establish a quantitative entropy-analysis system. Finally, the iterative optimization of transportation hub construction schemes is conducted through digital methods, leading to the identification of the optimal construction plan based on the minimum entropy principle. This digital design method for underground transportation hubs is grounded in minimum entropy values and effectively optimizes and balances construction schemes across different specialties. The proposed model provides a quantitatively validated optimal solution.