The spatiotemporal distribution and usage patterns of shared bicycles are crucial for the deployment and operation of their systems. From the perspectives of power and docking methods, this paper conducts an in-depth study on the travel characteristics and visitation laws of different types of shared bicycles, and reveals the distribution patterns of spatiotemporal characteristics, such as travel distance, radius of gyration, and waiting time. On this basis, the travel range of shared bicycles and the burstiness of usage are analyzed. Additionally, using the Levenberg–Marquardt algorithm reveals the Gaussian and exponential relationships between shared bicycle flow at specific locations and travel distance as well as frequency. Finally, a flow Venables index is proposed to measure changes in the degree of aggregation and dispersion, by which the tidal phenomenon of shared bicycles is quantified.