Abstract
Urban public transit network is a typical and complex network. The existing complex urban public transit network is expressed as Space P, Space R and Space L, and such expressions describe the topological relationship between nodes and edges in an unweighted network. In order to better understand the essences and evolving mechanisms behind the public transit network, this paper modeled a weighted Space R network to explore its complex characteristics. The statistical analysis showed that, in the weighted complex ground public transit network in Xining City, both the node degree and strength obeyed the power-law distribution, and the clustering coefficient and average shortest path length were relatively small. The analysis results in this paper may provide a reference for the design and improvement of the urban public transit network.
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