Study On Locating And Planning Of Urban Public Bike Rental Station

Along with quick urbanization and motorization developing, traffic congestion and environmental pollution turn to worse and worse. The Public Bike System, a mode of transportation, which encourages people to choose non-motorized traffic mode, is also very effective in overcoming traffic problems and reducing environmental pollution.Firstly, based on the comparison of the the experience of Public bike system at home and abroad, this paper gives out the necessity of public bike system implemented in the metropolis of China through the analysis of the development of urban bike traffic and the social effect of public bike system. Then, this paper discusses the operation patten and the function of public bike system.Secondly, based on the analysis of the characters of public bike rentaling behavior, this paper finds out the factors which have impact on the choice of public bike. Then, applying random utility theory, this paper builds a model to forecast the demand of public bike rentaling based on Logit model. In addition, a questionnaire survey about public bike choice behavior is carried out in the typical location of Beijing. With the data from the servey, combined with the structure of the utility function and the calibration of the model parameters, the parameters of the model based on the small sample test survey are given out.Finally, based on the introduction of the traditional facility location model and bi-level programming model, this paper apply bi-level programming model in the planning of public bike rental station and build a public bike rental station locating and planning model based on bi-level programming(RSLP model). The RSLP model aims at minimizing the total cost of the leader and the traval cost of the follower, including the upper planning as a traditional facility location model and the lower planning as a stochastic user equilibrium model. The location of the public bike rental stations and the demand assigned in each rental station can be estimated by solving the model, and thus the number of bike in each rental station. Lastly, this paper shows the whole process of the planning with an example, which verifies the model.The work of the paper is mainly reflected in:(1) describe the status of public bike system at home and abroad comprehensively;(2) design a questionnaire and carry out a small sample test survey, which grouds for the calibration of public bike rentaling demand forecasting model;(3) attempt to apply bi-level programming model to the public bike rental station locating and planning problem.