Impact of Road Network Topology on Public Transportation Development

Table 3

Variable data of studied cities.

City
Beijing	389	18.95	15.43	7.72	6.75	0	1306	0.62
Chengdu	291	18.01	11.47	13.18	3.90	2	529	0.67
Dalian	348	16.72	16.31	14.48	4.31	2	396	0.41
Harbin	250	12.65	6.83	10.04	3.84	0	391	0.69
Haikou	190	9.95	5.55	8.98	0.65	0	124	0.56
Hefei	281	16.01	12.77	22.72	3.12	0	393	0.69
Hohhot	283	29.25	15.87	17.41	0.97	0	230	0.63
Kunming	308	17.76	9.77	14.26	2.08	2	397	0.51
Lanzhou	307	10.91	6.04	11.78	0.86	2	207	0.57
Luoyang	149	8.84	6.34	11.74	0.74	2	192	0.50
Nanchang	267	15.39	9.98	15.28	2.01	1	250	0.46
Nanjing	166	10.80	12.46	19.84	5.09	0	713	0.60
Nanning	196	9.69	7.21	12.61	1.73	2	283	0.60
Ningbo	210	19.75	18.90	12.61	1.93	1	295	0.45
Qingdao	276	16.86	14.07	21.45	2.76	1	470	0.68
Xiamen	457	19.72	15.32	18.14	1.34	1	282	0.61
Shanghai	199	12.25	15.64	7.28	5.64	0	999	0.72
Shenzhen	848	98.53	46.77	37.03	2.50	2	871	0.66
Shenyang	219	10.50	11.09	14.82	5.06	0	455	0.61
Shijiazhuang	253	18.04	6.76	18.07	1.90	0	217	0.64
Suzhou	191	13.50	19.88	24.05	3.07	1	441	0.54
Taiyuan	193	9.91	7.79	12.53	1.48	0	320	0.54
Tianjin	166	11.77	15.99	15.14	8.46	0	736	0.71
Xi’an	300	14.00	7.05	12.09	4.39	1	424	0.68
Xining	330	15.21	5.55	7.15	0.60	2	85	0.52
Yinchuan	291	18.79	7.71	17.77	0.47	2	149	0.48
Changchun	201	12.98	9.81	18.58	2.66	0	452	0.48
Changsha	247	13.89	15.07	10.01	2.69	2	326	0.45
Zhengzhou	200	11.11	6.45	7.42	2.50	0	383	0.68