Space P-Based Urban Public Transit Complex Network Characteristics of Different-Scale Cities

Abstract

In order to study the generality and specific characteristics of the topological structure of three-scale urban public transit networks, this paper empirically studies transit networks of 253 China cities based on space P concept. Statistical results show that the degree distribution of a small transit network can best be described by an exponential function and the power-law distribution is more suitable to larger-scaled transit networks. Three-scale networks show typical small-world behaviors which is characterized by a smaller average shortest path and a larger clustering coefficient. A transition between the larger network (N > 9000) and small network (N < 900) is observed. Urban public transit networks are well characterized by hierarchical modularity; small transit networks are tighter than larger networks. A public transfer network is sensitive to degree attack; two average shortest path mutation points seemingly exist for the small scale urban public transit network. The research conclusions have important value and provide guidance for researching urban public transit systems and public transit network evolution modeling.