Applying big data technologies for data collection and analysis to extract valuable insights is an effective approach for understanding passenger travel habits, managing flow control, and defining fare strategies in urban rail transit. It serves as a powerful tool for passenger flow forecasting, enabling rational planning and optimized operational organization. Moreover, transforming data into a competitive advantage is an inevitable choice for the rail transit industry. How to comprehensively apply big data technologies within urban rail transit and efficiently, accurately convert the vast and complex data into visualized, interpretable, and actionable information is both a critical challenge for the industry and a key area for big data development.