The scaling of several public transport networks in China

Public transport networks (PTNs) are often researched without reference to their geographical embedding. The question arises if there is any underlying structure or principle characterizing the observed behavior of geographically embedded transport routes. Here, we focus on the scaling properties of PTNs in Space L through fractal analysis and consider the effect of the real bus routes, which reflects the human movement between stations indirectly. We find that the PTN in Space L is the better basal one to mimic the human migration in city. Furthermore, we also research the scaling property of the correlation between stations and the distribution of node's weight, which shows the heterogeneous property of human activity between different stations. Our present work provides some new perspective and tools to realize the human migration on spatial networks.