Spatial heterogeneity and its influencing factors of Douyin network: Attention to 5a-level scenic spots in China
14. Aug. 2025
Über diesen Artikel
Online veröffentlicht: 14. Aug. 2025
Seitenbereich: 36 - 49
Eingereicht: 24. Sept. 2023
Akzeptiert: 03. Juni 2024
DOI: https://doi.org/10.2478/ejthr-2025-0003
Schlüsselwörter
© 2025 Yuxin Feng et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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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 | ○ | ○ | ○ | ○ | ○ | ○ | ◎ | - |