Research Article
The Influence of Traffic Networks on the Supply-Demand Balance of Tourism: A Case Study of Jiangsu Province, China
Table 2
Traffic network indices.
| Municipality | Connection | Node | Corridor density (km/km2) | | | |
| Nanjing | 203 | 103 | 0.98 | 0.50 | 1.97 | 0.67 | Wuxi | 163 | 93 | 0.88 | 0.39 | 1.75 | 0.60 | Xuzhou | 281 | 145 | 0.90 | 0.48 | 1.94 | 0.66 | Changzhou | 183 | 85 | 0.81 | 0.60 | 2.15 | 0.73 | Suzhou | 223 | 131 | 0.73 | 0.36 | 1.70 | 0.58 | Nantong | 348 | 202 | 0.88 | 0.37 | 1.72 | 0.58 | Lianyungang | 165 | 90 | 0.60 | 0.43 | 1.83 | 0.63 | Huai’an | 212 | 133 | 0.66 | 0.31 | 1.59 | 0.54 | Yancheng | 305 | 190 | 0.44 | 0.31 | 1.61 | 0.54 | Yangzhou | 206 | 118 | 0.80 | 0.39 | 1.75 | 0.59 | Zhenjiang | 148 | 70 | 0.80 | 0.59 | 2.11 | 0.73 | Taizhou | 169 | 93 | 0.81 | 0.43 | 1.82 | 0.62 | Suqian | 196 | 118 | 0.65 | 0.34 | 1.66 | 0.56 |
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