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

Table 1

The results of the simulation test.

SI	HI (×10^4)	AS (km/h)	SI	HI (×10^4)	AS (km/h)
1	3.240	43.11	2	2.390	44.29
3	1.953	44.78	4	12.026	30.25
5	6.057	38.11	6	4.760	41.13
7	8.316	35.09	8	5.959	39.43
9	24.830	18.21	10	16.284	26.45
11	5.718	40.12	12	1.928	45.34
13	20.361	22.09	14	4.086	42.13
15	18.277	24.07	16	6.506	37.76
17	14.561	28.30	18	1.373	46.11
19	8.838	34.65	20	8.453	34.67
21	3.112	43.24	22	2.274	44.32
23	2.189	44.41	24	0.025	49.71
25	7.179	36.11	26	16.685	26.07
27	9.033	33.21	28	4.402	41.78
29	10.035	32.09	30	3.740	42.65
31	32.360	10.2	32	11.406	31.42
33	1.070	48.01	34	2.178	44.51
35	7.050	36.43

Note. “SI” represents the station ID. “HI” is the hybrid influence of stations. “AS” maps the average speed of stations.