First, four transportation forecasting methods were analyzed, and these characteristics and applicable conditions were summarized, so we can conclude that the disaggregate model is more suitable to predict the public bicycle traffic mode choice. Secondly, the utility function model of bike, bus and motor vehicle was established to determine the utility of each traffic mode and predict the share rate by disaggregate function model. Finally, the analysis of public bicycle transportation impact factors through an example, and gives quantitative indicators.