The evaluation of bicycle travel environment in the catchment area of rail stations is of great significance for promoting the efficiency of bicycle shuttle travel and the improvement of service quality. Based on Baidu Street View, road network, rail stations and other multi-source data, select the comfort, safety, convenience and accessibility evaluation indicators of bicycle travel environment, and DeepLabV3+ model, sDNA analysis and other methods are used to evaluate the bicycle travel environment of different types of roads in the catchment area within 1500m of the rail station, and an empirical analysis is carried out with Nanjing as an example. The results show that there are spatial differences in bicycle travel environment in the catchment area of the station; The traffic-type roads have high travel accessibility and high sky visibility, but low bicycle access convenience; Although the accessibility of life roads is low, the convenience of bicycle access and green vision rate are high. Comprehensive roads indicators are relatively coordinated.