Research Article
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 |
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