| In recent years,due to the strong support of the government,China’s red tourism industry has developed rapidly.Hunan,Hubei and Jiangxi provinces are geographically connected,with extensive and rich red tourism resources and high attraction and influence.With the efforts of the provincial governments,they continue to promote the coordinated development of red tourism.In the Internet era,tourists often use various network search platforms to understand the relevant tourism information of the region in advance before traveling.The Internet is helping China’s red tourism enter a new era.In the 14 th five year plan,the construction and development of the "middle triangle" was put forward.In order to explore the temporal and spatial distribution characteristics of network attention of classic red tourism scenic spots in Hunan,Hubei and Jiangxi,and then analyze their corresponding influencing factors to help the development of relevant industries in the future,this paper selects 24 classic red tourism scenic spots in Hunan,Hubei and Jiangxi as the research object,collects the network attention values of 31 provincial administrative regions(excluding Hong Kong,Macao and Taiwan)in China from 2012 to 2021 through Baidu Index platform,and uses various statistical analysis methods,It is analyzed from the aspects of time and space distribution and influencing factors.The conclusions are as follows:(1)Time distribution characteristics: the network attention of Hunan Hubei Jiangxi Red Tourism classic scenic spots will be studied in several different aspects.From the perspective of interannual characteristics,the interannual change of network attention of classic red tourism scenic spots in Hunan,Hubei and Jiangxi decreased twice from 2012 to 2021,and the annual network attention increased by 558598 in the ten years from 2012 to 2021;There are seasonal differences in Internet attention between 2012 and 2021.During this decade,the monthly average of Internet attention is roughly "three peaks",and the seasonal concentration index remains unchanged;In terms of the characteristics of weekly periods,the network attention generally shows a stable trend;The weekly distribution index of the "May Day" holiday,the "National Day" golden week and the "Spring Festival" holiday in this decade is less than 0.It can be seen that tourists’ online attention is higher in the early stage of the holiday,which has the precursory effect of the weekly period.(2)Spatial distribution characteristics: on the whole,the spatial distribution of network attention of the classic red tourism scenic spots in Hunan,Hubei and Jiangxi is uneven.The areas with high network attention are concentrated in the southeast of China,while the western and northern regions are low;Using relevant indicators to analyze the spatial distribution characteristics of network attention,the spatial difference of network attention of Hunan Hubei Jiangxi Red Tourism classic scenic spots increased from 2012 to 2015,decreased by 2019,and then increased again.The results show that there are great regional differences in the network attention of the classic red tourism scenic spots in Hunan,Hubei and Jiangxi.In terms of influencing factors,this paper analyzes the factors affecting the distribution of network attention of Hunan Hubei Jiangxi Red Tourism classic scenic spots from the aspects of tourists’ leisure time,climate factors,red festivals,economic development level,network development degree,spatial distance and the attraction of red scenic spots.Tourists’ leisure time,climate and other factors have an impact on Internet attention;The network attention of Hunan Hubei Jiangxi Red Tourism classic scenic spots is positively correlated with the economic development level and network development degree of 31 provinces(cities and districts)in China,and negatively correlated with the spatial distance from 31 provinces(cities and districts)to Hunan Hubei Jiangxi Red Tourism classic scenic spots.Finally,according to the research conclusions of this paper,some suggestions are put forward to promote the development of related industries. |
