Bicycle-sharing systems are a new type of transportation service that provides bicycles for shared use; they allow users to rent a bicycle at one station, ride it, and return it to another station in the same city. In this paper the author explores the travel behaviors of the sharing bicycles system in Wenzhou using big data analysis. Taking the survey results of sharing bicycles users in Lucheng District of Wenzhou and the operations of 181 sites in 20 days as the analysis object, using data analysis software and other tools to analyze the form characteristics of sharing bicycles, including the daily use of single bike, the busiest station and the most idle stations. According to the analysis, the time between lease and return in Wenzhou observes the law of lognormal distribution. Based on the analysis results, he author puts forward some suggestions to the current sharing bicycles service systems, for the systematic network distribution of lease sites and optimal management of hierarchy scheduling.