Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China

<div>The properties of the bus network. (a) The number of stations’ degrees. (b) The number of stations’ <i>H</i>-index. (c) The frequency distribution of stations’ degree. (d) The frequency distribution of stations’ <i>H</i>-index.</div>

Advances in Civil Engineering

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Figure 10

Figure 10: Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China 

Figure 10 | Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China 