Open AccessStudy on Spatial-Temporal Characteristics and Influencing Factors of Network Attention: The Case of Guilin, China
Author(s) -
Jiayi Yao,
Yanling Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012074
Subject(s) - tourism , index (typography) , china , driving factors , geography , spatial distribution , distribution (mathematics) , environmental resource management , computer science , environmental science , mathematics , mathematical analysis , remote sensing , archaeology , world wide web
To research the spatial-temporal distribution characteristics and influencing factors of tourism network attention is meaningful for understanding the current situation of the development tourism, revealing tourism customer market, and providing guidance for tourism planning, service, management. Took Guilin of China as an example and based on Baidu Index, this paper studied the spatial-temporal characteristics and influencing factors of tourism network attention by using seasonal concentration index, variation index, geographic concentration index, coefficient of variation and regression analysis. The research found that mobile network attention has a major share and has obvious seasonality. The PC network attention occupies a low share, which is not affected by the peak seasons, but fluctuates periodically with working days and rest days. In Guilin, the main factor influencing the time distribution of the network attention is precipitation, and the climate comfort has not reached a significant level. The regional distribution of the network attention is neither centralized nor balanced. The population size, the network development and the distance are important factors affecting the spatial distribution of network attention.