深圳市轨道交通复杂网络特性分析

Complex Network Characteristics of Shenzhen Rail Transit Network

为了研究深圳市轨道交通网络的特点,对深圳市轨道交通网络建立基于复杂网络理论的L空间及P空间网络模型。通过对网络路径长度的分析,发现P空间网络模型不完全适用于深圳市轨道交通网络。通过对节点度、节点介数、聚类系数等参数及其分布规律的分析,得到深圳市轨道交通网络具有较高的聚类系数和较小的平均路径长度,但节点度分布在L空间及P空间下均服从高斯分布,说明深圳市轨道交通网络属于具有一定小世界网络特征的混合结构网络。通过分析深圳市轨道交通网络的复杂网络特性及存在的部分问题,可以为优化轨道交通网络的连通性提供一定的理论基础和科学依据。

In order to study the characteristics of Shenzhen rail transit network, establishes L-space and P-space network models for Shenzhen rail transit network based on complex network theory. By analyzing the network path length, it is found that the P-space network model is not fully applicable to Shenzhen rail transit network. By analyzing node degree, node betweenness, clustering coefficient and their distribution rules, the results show that Shenzhen rail transit network has higher clustering coefficient and smaller average path length, but the node degree distribution follows Gaussian distribution in L-space and P-space. It shows that Shenzhen rail transit network is a hybrid structure network with the characteristics of small-world network. By analyzing the complex network characteristics and some existing problems of Shenzhen rail transit network, it can provide certain theoretical basis and scientific basis for optimizing the connectivity of rail transit network.