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目前针对中国城市公交复杂网络的实证研究仍然仅限于数个大城市，而对不同规模城市的公交网络在拓扑结构上是否存在不依赖于人口、社会、经济等外部因素的共性特征,以及城市公交系统演化机制的研究尚不多见.本文实证研究了330个中国城市P空间下公交复杂网络结构特征，发现度分布普遍呈指数分布，表示公交网络演化机制为随机连接而非择优连接；普遍具有较大的簇系数和较小的平均最短路径，呈现典型的小世界特征；网络同配性在N=1 000处发生相变，N>1 000的网络普遍正相关，反之负相关.C与K呈幂律下降关系，表明各城市公交网络具有等级模块性.本文研究结果可为理解城市公交系统演化规律、交通网络建模研究提供指导和参考.

Space P-Based Empirical Research on Public Transport Complex Networks in 330 Cities of China

The current empirical studies on public transport network of the cities in China are still limited to several large cities such as Beijing, Shanghai and Guangzhou. And the researches on whether the common topologies of public transport network for cities in different scales do not rely on some extend factors such as population, society or economic, and the researches on the evolutionary mechanisms of public transport network are still limited. This paper studies the public transport networks of 330 cities in China based on the space P concept. Statistical results show that the degree distribution of all networks can be described by an exponential function. It reveals that the evolution mechanism of public transport network is randomly connected instead of preferential attached. All the networks show typical small world behaviors which characterized by larger clustering coefficient and smaller average shortest path. A transition between the dissortative small networks N<1000 and assortative large networks N>1000 is observed. Average clustering coefficient of nodes with degree K decreases with K as a power law, shows that city bus transfer networks are well characterized by hierarchical modularity. The results of this study may provide guidance and reference for researches on evolution mechanism of urban public transport systems and transport network evolution modeling.