［Objective］By the end of 2022, the rail transit system in Suzhou had essentially formed a network. However, the overall passenger flow has remained relatively low, necessitating an evaluation of the passenger flow on Suzhou rail transit to identify key issues in its development and passenger flow enhancement.［Method］A multi-source data fusion analysis approach is utilized, incorporating mobile signaling data and rail transit gate data, to accurately control the users′ complete travel trajectories. Given the limitations of traditional OD (origin-destination) analysis, a grid-based division method is employed. From the perspective of supply-demand balance in urban rail transit, evaluation indicators are constructed from two dimensions: the residence/employment coverage rate (proportion of residential population and job positions) and the passenger flow conversion rate (proportion of urban rail transit trips). These indicators are used to analyze the passenger flow of Suzhou rail transit.［Result & Conclusion］Suzhou rail transit network generally aligns well with residence/employment distribution and the residents travel demand. However, certain high-density clusters of population and employment in areas such as Suzhou Industrial Park, Suzhou High-tech Zone, and Wujiang District exhibit weak rail transit coverage, highlighting the need to enhance bus-rail feeder services. Additionally, certain stations along Suzhou Rail Transit Line 3 and Line 5 show relatively low proportions of rail transit usage, indicating that the land-use layout and industrial structure may restrict the attractiveness to passengers.