Research On The Impact Of Shared Bicycle On Urban Traffic Congestion

With the improvement of the level of urban motorization,the contradiction between the supply and demand of urban traffic has become increasingly prominent,which leads to the problem of urban traffic congestion becoming more and more serious,and seriously restricts the development of urban economy.This paper takes shared bicycle as the research object,and studies the impact of shared bicycle on urban traffic congestion by using system dynamics method.Firstly,it combs the structure of urban traffic system,the development status and operation mode of shared bicycle,and qualitatively analyses the impact of shared bicycle on urban traffic.Secondly,according to the research objectives,the system is divided into five subsystems:social subsystem,economic subsystem,traffic supply subsystem,traffic demand subsystem and shared bicycle operation subsystem.The internal elements of each subsystem are determined and lay the foundation for the subsequent model establishment;thirdly,the interaction and feedback mechanism among the elements within the system are clarified,the causal loop diagram and system flow diagram are established,the structural equation and model parameters between variables are designed,and the model is tested;finally,the model is simulated by using the established model combined with the relevant data of Beijing urban traffic.Through the model simulation,the following conclusions can be drawn:(1)Shared bicycle can improve the sharing rate of urban public transport,reduce the travel of cars and alleviate urban traffic congestion to a certain extent;(2)The higher the average number of bicycle trips per day,the higher the sharing rate of bicycle trips and public transport,the greater the decrease of car trips and urban traffic congestion;(3)The larger the proportion of shared bicycles connecting with urban public transport,the higher the share rate of public transport,the greater the decrease of car travel rate and urban traffic congestion.According to the simulation results,the corresponding policy recommendations are put forward.