Research Article
The Influence of Traffic Networks on the Supply-Demand Balance of Tourism: A Case Study of Jiangsu Province, China
Table 4
Degrees of coordination and supply-demand balances for municipalities of Jiangsu province.
| Municipality | Supply | Demand | Coupling | Coordination | Classification |
| Nanjing | 0.897 | 0.709 | 0.993 | 0.893 | Very high coordination Oversupplied |
| Wuxi | 0.434 | 0.670 | 0.977 | 0.734 | High coordination Undersupplied |
| Xuzhou | 0.220 | 0.237 | 0.999 | 0.478 | Medium coordination Balanced supply-demand |
| Changzhou | 0.271 | 0.346 | 0.993 | 0.554 | Medium coordination Undersupplied |
| Suzhou | 0.797 | 0.938 | 0.997 | 0.930 | Very high coordination Undersupplied |
| Nantong | 0.315 | 0.311 | 1.000 | 0.560 | Medium coordination Balanced supply-demand |
| Lianyungang | 0.199 | 0.093 | 0.932 | 0.369 | Low coordination Oversupplied |
| Huai’an | 0.124 | 0.085 | 0.982 | 0.320 | Low coordination Oversupplied |
| Yancheng | 0.152 | 0.181 | 0.996 | 0.408 | Medium coordination Balanced supply-demand |
| Yangzhou | 0.286 | 0.285 | 1.000 | 0.534 | Medium coordination Balanced supply-demand |
| Zhenjiang | 0.038 | 0.155 | 0.795 | 0.277 | Low coordination Undersupplied |
| Taizhou | 0.084 | 0.142 | 0.968 | 0.331 | Low coordination Undersupplied |
| Suqian | 0.002 | 0.004 | 0.938 | 0.051 | Very low coordination Undersupplied |
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