Relevance Analysis of Weather and Tourism Based on Network Attention: A Case Study of Changsha
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Abstract:
In order to grasp the netizens’ attention to weather and tourism, the relationship between weather and tourism is analyzed. Based on the daily meteorological observation data of Changsha National Meteorological Station from 2012 to 2018 and Baidu Indexes as network attention, this study analyzes the meteorological factors such as temperature, precipitation, relative humidity, sunshine hours and Changsha Weather Network attention, Changsha global tourism network attention and Changsha rural travel network attention by using trend analysis and linear fitting. The results show that mobile users are the main focus of network attention; Changsha Weather network attention is significantly correlated with the lowest temperature, relative humidity, wind speed, sunshine hours, and precipitation; the probability and frequency of news headlines in the weather of drastical cooling, continuous rainstorm process, lightning warning and so on are large; and the network attention of the whole Changsha tourism is significantly correlated with average temperature, maximum temperature, minimum temperature, wind speed and relative humidity; the network attention of rural tourism is significantly correlated with temperature and precipitation; the network attention of Changsha weather, the whole Changsha tourism is on the rise, but the network attention Changsha rural tourism is on the decline; Changsha Weather Network attention is on the decline; Changsha Weather Network attention is on the rise. Local users account for 66.4%, followed by Beijing, Guangzhou, Shenzhen and Chengdu. The number of tourists is obviously affected by average temperature, average maximum temperature, average minimum temperature and sunshine hours.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.