Research on Urban Public Transport Networks Based on Complex Networks

The public transport networks of Beijing,Shanghai and Hangzhou,including bus transport and rapid bus transport,are abstracted as complex networks.On the basis of graph theory idea,the stations and the lines between them are considered as nodes and edges.The property of complex networks is researched with the methods of Space L and Space P based on statistical data.The analysis on the data indicates that the public transport networks of all the three cities have small average path length,which means all of them have typical property of small-world.The degree distribution of nodes shows scale-free property in Space L,and exponential distribution property in Space P.Comparing Space L and Space P,this paper proposes the fact that the networks described by Space P have larger clustering coefficient and smaller average path length for the same public transport networks,namely having more obvious small-world effect.