Study on the urban public bicycle system complexity and modeling

Public bicycles supply a convenient and flexible trip mode, and a way of low carbon life for city dwellers. Considering the networked topology and dynamic characteristics of the public bicycle rental system in Hangzhou City, the complex network theory was adopted to establish the model and to analyze the related statistic characteristic parameters. By introducing a random and preferred orientation connecting scheme, the phenomenon that the probability distribution of vehicle flow takes on normal distribution during rush hours and possesses lesser distribution amplitude in off-peak hours was revealed; And the networked key nodes can be determined according to the probability distribution. Simulation results show its feasibility and validity by comparing with the existing statistics.