城市公共自行车租赁点布局及配置优化研究

发布时间：2018-05-23 18:28

本文选题：IC卡信息 + 公共自行车　；参考：《西南交通大学》2015年硕士论文

【摘要】：随着城市交通问题的日益突现,现代公共自行车系统越来越引起政府、相关部门和学者的重视。当前我国很多城市都已经加入到建设公共自行车系统的行列当中,其实际运行过程中突现的问题如“借还车难”等降低了用户体验,影响着公共自行车系统的正常运作,制约着公共自行车系统的良好发展。因此,对已经建设的公共自行车租赁点系统如何进行优化的研究,具有重要的现实指导意义,但目前还没有引起学者的广泛关注,本文即以此为切入点,分析其影响因素,构建优化模型。首先,论文分析了自行车交通优势及特点、适用城市条件,介绍公共自行车定义特点、运营系统构成,并在此基础上从适用人群、服务范围、使用时间、交通出行四个方面定位公共自行车系统功能。然后,介绍了公共自行车IC卡用户监测数据的采集方法及预处理内容,并基于结构数据发现的相关方法,通过运行系统中的实例,统计分析租借人群的特征、租赁点的特征和租借行为的特征,得出一些特征指标的合理取值范围和变化规律。在特征分析的基础上,结合借还车需求分布分析和需求点-租赁点选择模型,对小区需求进行多元回归分析。最后,论文确定了备选租赁点的选取原则,提出影响租赁点布局及配置优化的主要因素,定性分析租赁点布局及配置的目的及策略之间的内在矛盾关系,提出优化思路,建立以用户出行成本、系统建设成本和运营调度成本最低的多目标优化模型,并基于模糊集隶属函数理论,设计出模型的求解方法；选取基于中山市公共自行车系统的算例,基于MATLAB软件平台实现模型求解步骤求解优化方案,并将优化前后结果对比分析,验证了模型算法的可行性,可为决策者提供优化措施参考建议。
[Abstract]:With the increasing emergence of urban traffic problems, the modern public bicycle system has attracted more and more attention from the government, relevant departments and scholars. At present, many cities in our country have joined in the construction of public bicycle system, and the problems that appear in the actual operation process, such as "difficult to return a car", have reduced the user experience and affected the normal operation of the public bicycle system. It restricts the good development of public bicycle system. Therefore, the research on how to optimize the public bicycle rental point system, which has been built, has important practical significance, but at present it has not aroused the widespread concern of scholars. The optimization model is constructed. First of all, the paper analyzes the advantages and characteristics of bicycle traffic, applicable to urban conditions, introduces the definition of public bicycle, the composition of the operation system, and on this basis from the applicable population, service range, use time, Four aspects of traffic travel positioning public bicycle system functions. Then, the paper introduces the collecting method and preprocessing content of public bicycle IC card user monitoring data, and based on the related methods of structure data discovery, through the example of running system, statistics and analysis of the characteristics of the leased crowd. The characteristics of lease point and the characteristics of leasing behavior are obtained, and the reasonable value range and variation law of some characteristic indexes are obtained. On the basis of characteristic analysis, combined with demand distribution analysis and demand point-lease point selection model, the multivariate regression analysis of community demand is carried out. Finally, the paper determines the selection principle of alternative lease points, puts forward the main factors that affect the layout and configuration optimization of leasing points, qualitatively analyzes the inherent contradiction relationship between the layout and allocation of leasing points and the strategies, and puts forward the optimization ideas. A multi-objective optimization model with the lowest cost of user travel, system construction and operation scheduling is established, and based on the fuzzy set membership function theory, the solution method of the model is designed, and the example based on Zhongshan Public Bicycle system is selected. Based on MATLAB software platform, the optimization scheme of model solving steps is realized, and the results before and after optimization are compared and analyzed, which verifies the feasibility of the model algorithm, and can provide the decision makers with reference suggestions for optimization measures.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491.225

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