Abstract: To meet the demand for visual decision-making of railway network interval transportation capacity and the daily analysis requirements of busy sections of railway hubs, this paper designed a railway network capacity utilization analysis system based on Geographic Information System (GIS) and big data technology, which integrated multiple sources of transportation data information such as railway operation lines, operation and management, passenger tickets, freight tickets, planning, and statistics. The paper proposed a calculation method for the actual throughput capacity of high-speed and conventional railways, as well as a calculation method that integrated passenger/freight transport density and utilization ratio of the passenger seating, constructed a standardized and unified spatiotemporal information correlation model, integrated multi-source data information with GIS data, and implemented functions such as visual expression, multidimensional statistics, intelligent retrieval, one province one map, and station arrival and departure volume analysis of railway network transportation capacity. The pilot application shows that the system can significantly enhance the analysis capability for railway networks, reduce data maintenance workload, and provide information support for improving railway transportation capacity.