Accesso libero

Spatial heterogeneity and its influencing factors of Douyin network: Attention to 5a-level scenic spots in China

, , ,  e   
14 ago 2025
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Figure 1:

Spatial distribution of China’s 5A-level tourist attractions
Spatial distribution of China’s 5A-level tourist attractions

Figure 2:

Data retrieval route
Data retrieval route

Figure 3:

Rank-size distribution of network attention to Douyin’s fans
Rank-size distribution of network attention to Douyin’s fans

Figure 4:

Spatial pattern of fan quantity and attention level on Douyin
Spatial pattern of fan quantity and attention level on Douyin

Figure 5:

Density analysis of Douyin’s fans for China’s 5A-level tourist attractionsNote: The map is drawn based on the standard map of the Ministry of Natural Resources of China (Map Approval Number GS(2019)1822), and the base map remains unmodified. Data for Hong Kong, Macau, and Taiwan are not available.
Density analysis of Douyin’s fans for China’s 5A-level tourist attractionsNote: The map is drawn based on the standard map of the Ministry of Natural Resources of China (Map Approval Number GS(2019)1822), and the base map remains unmodified. Data for Hong Kong, Macau, and Taiwan are not available.

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 -