Figure 1:
Figure 2:
Figure 3:
Figure 4:
Figure 5:
Analysis of proximity and aggregation of scenic spots
| level of attention | the number of scenic spots | ANN | Z | P | distribution types |
|---|---|---|---|---|---|
| low attention | 246 | 0.684190 | −9.475993 | 0.000000 | significant aggregation |
| lower attention | 45 | 0.990576 | −0.119584 | 0.904813 | low aggregation |
| moderate attention | 14 | 1.030877 | 0.243555 | 0.807576 | random distribution |
| higher and high attention | 13 | 1.215827 | 1.488704 | 0.136565 | random distribution |
Regression analysis of influencing factors
| A1 | A2 | A3 | A4 | A5 | A6 | A7 | A8 | |
|---|---|---|---|---|---|---|---|---|
| q | 0.09568 | 0.56652 | 0.05124 | 0.01603 | 0.01211 | 0.01869 | 0.01862 | 0.02151 |
| 5 | 9 | 6 | 2 | 4 | 6 | 3 | ||
| p | 0.000 | 0.000 | 0.00481 | 0.29020 | 0.43529 | 0.20915 | 0.21865 | 0.15053 |
| 6 | 4 | 7 | 2 |
Statistical analysis of Douyin accounts for China’s 5A-level tourist attractions
| provincial-level administrative division | the number of 5A-level tourist attractions | the number of official Douyin accounts for tourist attractions | the number of accounts with a fan base exceeding 10,000 | in total |
|---|---|---|---|---|
| Beijing | 8 | 8 | 26 | 34 |
| Tianjin | 2 | 1 | 2 | 3 |
| Hebei | 11 | 7 | 81 | 88 |
| Shanxi | 10 | 9 | 98 | 107 |
| Inner Mongolia | 6 | 3 | 5 | 8 |
| Liaoning | 6 | 9 | 2 | 11 |
| Jilin | 7 | 12 | 13 | 25 |
| Heilongjiang | 6 | 8 | 3 | 11 |
| Shanghai | 4 | 7 | 2 | 9 |
| Jiangsu | 25 | 51 | 11 | 62 |
| Zhejiang | 20 | 30 | 143 | 173 |
| Anhui | 12 | 20 | 46 | 66 |
| Fujian | 10 | 17 | 27 | 44 |
| Jiangxi | 14 | 41 | 52 | 93 |
| Shandong | 14 | 22 | 32 | 54 |
| Henan | 15 | 33 | 43 | 76 |
| Hubei | 14 | 25 | 44 | 69 |
| Hunan | 11 | 18 | 67 | 85 |
| Guangdong | 15 | 24 | 17 | 41 |
| Guangxi | 9 | 12 | 9 | 21 |
| Hainan | 6 | 7 | 11 | 18 |
| Chongqing | 11 | 15 | 2 | 17 |
| Sichuan | 16 | 24 | 32 | 56 |
| Guizhou | 9 | 17 | 10 | 27 |
| Yunnan | 9 | 13 | 24 | 37 |
| Tibet | 5 | 8 | 1 | 9 |
| Shaanxi | 12 | 36 | 42 | 78 |
| Gansu | 7 | 11 | 3 | 14 |
| Qinghai | 4 | 4 | 0 | 4 |
| Ningxia | 4 | 4 | 1 | 5 |
| Xinjiang | 17 | 29 | 20 | 49 |
| in total | 318 | 525 | 869 | 1394 |
Douyin’s fans and attention levels of China’s 5A-level tourist attractions attractions
| level | the number of fans (ten thousand) | the number of scenic spots | proportion (%) |
|---|---|---|---|
| low attention | 0.000000–33.000000 | 246 | 77.4 |
| lower attention | 33.000001–113.400000 | 45 | 14.2 |
| moderate attention | 113.400001–273.400000 | 14 | 4.4 |
| higher attention | 273.400001–645.800000 | 11 | 3.5 |
| high attention | 645.800001–1983.500000 | 2 | 0.6 |
Construction of indicator system for influencing factors
| primary indicators | secondary indicators | explanation of indicators |
|---|---|---|
| the marketing market of tourist attractions (A1) | ticket price | original price of the scenic spot ticket |
| construction of scenic spot | the number of Douyin | the number of Douyin |
| promotion platform (A2) | accounts | accounts |
| the level of regional economic development (A3) | regional GDP | overall level of regional economy |
| the support of modern service industry (A4) | the proportion of value added in the tertiary industry | the support for the development of scenic spots |
| the level of internet development (A5) | the number of fixed broadband internet access users | the level of regional network development |
| transportation accessibility (A6) | passenger turnover | level of regional transportation development |
| regional population carrying capacity (A7) | population size of the region | population size in the region |
| the vibrant development of the tourism market (A8) | tourism revenue | the economic strength of scenic spots |
Results of influencing factors to interaction detection
| A1 | A2 | A3 | A4 | A5 | A6 | A7 | A8 | ||
|---|---|---|---|---|---|---|---|---|---|
| A1 | 0.095685 | - | - | - | - | - | - | - | |
| A2 | 0.642814 | 0.56652 | - | - | - | - | - | - | |
| 9 | |||||||||
| q | A3 | 0.305793 | 0.88347 | 0.0512 | - | - | - | - | - |
| 8 | 46 | ||||||||
| A4 | 0.168963 | 0.64695 | 0.0915 | 0.01603 | - | - | - | - | |
| 5 | 2 | 2 | |||||||
| A5 | 0.154204 | 0.88084 | 0.0589 | 0.03032 | 0.0121 | - | - | - | |
| 8 | 77 | 5 | 14 | ||||||
| A6 | 0.174978 | 0.73640 | 0.0572 | 0.08503 | 0.0600 | 0.01869 | - | - | |
| 9 | 16 | 7 | 38 | ||||||
| A7 | 0.239621 | 0.87910 | 0.0937 | 0.06834 | 0.0822 | 0.05143 | 0.01862 | - | |
| 9 | 41 | 6 | 78 | 2 | 6 | ||||
| A8 | 0.188124 | 0.60222 | 0.0887 | 0.04575 | 0.0504 | 0.04647 | 0.04350 | 0.0215 | |
| 4 | 01 | 82 | 3 | 2 | 13 | ||||
| result | A1 | - | - | - | - | - | - | - | - |
| A2 | ◎ | - | - | - | - | - | - | - | |
| A3 | ○ | ○ | - | - | - | - | - | - | |
| A4 | ○ | ○ | ○ | - | - | - | - | - | |
| A5 | ○ | ○ | ◎ | ◎ | - | - | - | - | |
| A6 | ○ | ○ | ◎ | ○ | ○ | - | - | - | |
| A7 | ○ | ○ | ○ | ○ | ○ | ○ | - | - | |
| A8 | ○ | ○ | ○ | ○ | ○ | ○ | ◎ | - |