Subway station waterlogging disaster is a major challenge currently faced in the field of operational safety. In response to subway waterlogging disasters, this paper constructs a subway station waterlogging risk classification model based on triangular fuzzy Analytic Hierarchy Process (AHP). Firstly, the paper systematically analyzes the influencing factors of subway waterlogging using case analysis and literature review methods. Nine quantitative risk indicators were proposed, including natural factors, geographic information, and flood control capabilities;. Utilizing the “1–9 degree scale” expert system analysis method, the impact of each indicator is quantified. By applying triangular fuzzy numbers, a waterlogging risk assessment matrix is constructed, and the weights of each indicator are determined. Combining the different risk levels of the indicators and based on the triangular fuzzy AHP, the paper puts forward risk grading thresholds. The research results provide technical support for enhancing the safety risk prevention and control capability of urban rail transit operations and ensuring the safety of the public during people's travel.