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随着城市交通机动化的发展，交通拥堵、环境污染越来越严重，发展慢行通，建立公共自行车系统，鼓励更多的出行者采用非机动交通工具，引导居民形成“公共自行车+公共交通”的出行模式，是提高城市交通运行效率和减少环境污染的有效途径。7338
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论文首先通过国内外公共自行车系统现状的对比，结合自行车交通在城市交通中的发展和公共自行车系统的社会效益，指出了我国城市建立和推行公共自行车系统的必要性，并对公共自行车系统的运营模式和功能定位进行了探讨。其次，论文在研究公共自行车的租借行为特性的基础上，分析了影响公共自行车租借行为的因素，并将公共自行车视为一种交通方式，应用随机效用理论，建立了基于交通方式选择的公共自行车租借需求预测模型。
最后，论文比较分析了不同选址规划模型的优缺点，选择将双层规划模型应用到公共自行车租赁点选址中，建立了公共自行车租赁点选址双层规划模型。模型从决策者和用户的角度，分别以决策者总成本最小和用户出行费用最低为上下层规划的目标函数，其中上层规划为传统的离散选址模型，下层规划为随机用户平衡模型。求解模型得到选址点的位置和小区借还需求在各个租赁点的分配，从而确定租赁点的设施规模，得到租赁点的规划方案。最后论文通过一个算例，分析计算了整个规划研究过程，验证了模型方法的可行性。
关键词：公共自行车；需求预测；选址规划；双层规划外文摘要
Title The study of urban public rental points’ layout site
Abstract
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 model, is also very effective in overcoming traffic problems and reducing environmental pollution.
Firstly，based on the comparison of the experience of Public bike system at home and abroad, this paper gives out the experience 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 pattern and the function of Public bike system.
Secondly, based on the analysis of the characters of public bike rental 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 rental based on Logit model.
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 travel 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 as signed 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.
Keywords Public Bike; Demand Forecast; Location Planning; Bi-level Programming
目录
1. 研究背景及意义 1
1.1 理论意义 1
1.2 应用价值 3
2. 国内外公共自行车发展现状 6
2.1 国外发展现状 6