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.