基于复杂网络的城市公共交通网络连通性研究

发布时间：2018-06-01 18:40

本文选题：复杂网络 + 城市公交网络　；参考：《西南交通大学》2014年硕士论文

【摘要】：随着各地城镇化进程的不断加快、机动车保有量持续增长,城市内交通拥堵问题日益突显出来。城市公交是一种便利、廉价、环境友好的出行方式,所以它成为了解决城市拥堵的问题的关键。城市公交系统是一个典型的复杂巨系统,传统的研究方法在宏观和微观层面难以统一,而复杂网络作为一种新兴的研究复杂系统的方法,正越来越多的被用来研究城市公交系统各方面的问题。连通性是一个城市公交网络服务水平的重要评价指标,公交网络连通性的好坏直接关系到市民出行方式的选择。如何评价公交网络中站点对连通性的影响,进而找出网络中的关键点,也是对公交网络进行优化所需要迫切解决的问题。论文以公交网络的两种抽象方式：公交站点网络模型和公交换乘网络模型为基础,,提出了一种在保证换乘次数最少的情况下公交站点间最短路径长度的算法,并以Visual Studio2010为平台实现了此算法,进而对公交网络连通性进行了两个方面的分析：1.提出符合乘客出行习惯的网络全局效率作为评价公交网络连通性的指标；2.提出将以此算法为基础求得的节点介数作为评价节点对连通性影响程度的评价指标。论文最后对武汉市公交网络进行了数据搜集,建立其公交站点网络和公交换乘网络下的邻接矩阵,以此为基础对其特征值进行了计算和分析,实证了武汉市公交网络的复杂性。计算了武汉市公交网络符合乘客出行习惯的网络效率,比之不考虑乘客出行习惯,效率下降了31%,但平均换乘次数保证为最少的1.45次。计算了公交网络节点介数,通过对比分析得到：公交站点对网络连通性的影响大小与它的直连站点数目多少无关系,但是与其换乘性能有比较大的相关性。
[Abstract]:With the acceleration of urbanization and the continuous growth of vehicle ownership, traffic congestion in cities is becoming increasingly prominent. Urban public transport is a convenient, cheap and environmentally friendly way to travel, so it becomes the key to solve the problem of urban congestion. Urban public transport system is a typical complex giant system, traditional research methods are difficult to unify in macro and micro level, and complex network is a new method to study complex system. More and more are being used to study all aspects of urban transit system. Connectivity is an important index to evaluate the service level of a city's public transport network, and the connectivity of public transport network is directly related to the choice of citizens' travel mode. How to evaluate the impact of bus stations on connectivity and then find out the key points in the network is also an urgent problem to be solved for the optimization of public transport network. Based on two abstract modes of bus network: bus station network model and bus transfer network model, an algorithm of shortest path length between bus stations is proposed in this paper. The algorithm is implemented on the platform of Visual Studio2010, and then the connectivity of public transport network is analyzed from two aspects: 1. The global efficiency of the network, which accords with the travel habits of passengers, is proposed as an index to evaluate the connectivity of public transport networks. The number of nodes based on this algorithm is used as an evaluation index to evaluate the influence of nodes on connectivity. Finally, the paper collects the data of Wuhan bus network, establishes the adjacent matrix of bus station network and bus transfer network, calculates and analyzes its characteristic value, and demonstrates the complexity of Wuhan bus network. The network efficiency of Wuhan bus network in line with passengers' travel habits is calculated. The efficiency of Wuhan bus network is reduced by 31and the average transfer times are guaranteed to be the least 1.45 times compared with those without considering passengers' travel habits. The number of nodes in public transport network is calculated. Through comparative analysis, it is concluded that the influence of bus stations on network connectivity has no relation with the number of direct stations, but it has a relatively large correlation with its transfer performance.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.17

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