交通空间网络的实证及模型研究

Empirical and Model Study of Traffic Spatial Networks

复杂系统中的节点和连边与空间因素有着紧密的联系.交通网络、基础设施网络、Internet、神经网络等复杂网络其内在的演化机制与空间因素是息息相关的,所以仅从内部静态拓扑结构的角度来研究并不能完整呈现网络的实际情况.本文首先回顾了近年来国内国际学者在交通空间网络方面的实证成果和相关的重要模型,特别关注了影响网络演化的空间因素,如人口分布、经济、社会等因素.最后,在研究了城市设施分布密度与人口分布密度间的标度律基础上,我们课题组以中国城市为研究对象,对中国城市设施密度与人口密度的情况做了大量的实证分析,得到了一些与美国设施情况[15]不尽相同的结论,并对该研究方向提出一些开放性问题.

Complex systems nodes and even edges and spatial factors are closely linked.Transportation network,infrastructure network,internet,neural networks,the evolution of complex networks of its internal mechanisms and spatial factors are closely related,so only from the perspective of the internal static topology to study the network is not fully present the actual situation.This paper reviews the important empirical results and related models in the transport network achived by the domestic and international scholars in recent years, special attention to the evolution of the network space factors,such as population distribution,economic and social factors.Finally,empivical analysis on the density of urban facilities in China and the population density are put torward based on the scaling law between.The density of urban facility in China and the population density,some conclusions different to that in America are obtained,some open problems are given.