Coupled Analysis Of The Spatial Pattern Between Network Attention-degree And Satisfaction-degree Of A-class Scenic Spots In Hubei Province

With the rapid development of the Internet,online travel plays an increasingly important role in tourism activities.Internet information,the mainstream of which is based on the Internet media platform,has increasingly become an important factor affecting tourists' choice.Tourist behavior patterns have undergone a complete transformation.Under the background of region-based tourism,the tourism industry in Hubei province is facing new opportunities for development.There needs to be a lot of attention to realize the coordinated development and improve the spatial structure of tourism.It is of great significance to promote the innovative model of "Internet+Tourism" and combined with big data mining technology to obtain and study mass data of online tourism.Based on the domestic and foreign research on the spatial structure of tourism in Hubei,this paper takes the Hubei A-class scenic spot as the research object.Combined with Baidu Index,collects the data from Ctrip.com,Qunar.com,and Dianping.com.Using the ArcGIS,Geoda spatial analysis methods and mathematical statistics methods to analyze the coupling of network attention-degree spatial pattern and satisfaction-degree spatial pattern of Hubei A-level scenic spots.The following conclusions:(1)The spatial distribution of network attention-degree in Hubei A-level scenic spots has obvious spatial differentiation and polarization characteristics.The spatial distribution is uneven,which forms the distribution pattern of a central,four tourist areas and four scattered point.The network attention-degree is positively related to the class of scenic spots.With the level of scenic spots ranging from high to low,the difference in network attention-degree gradually decreases.A small number of low-level scenic spots are active in the Internet,and the network attention-degree is higher than that of high-level scenic spots.There is a big difference in the network attention-degree among different urban areas in Hubei.The network attention-degree is highly concentrated in Wuhan,followed by Yichang and Enshi.The regional differences are obvious.(2)By using the Kernel Density Estimation,the spatial distribution of network satisfaction-degree in Hubei A-class scenic spots is a clustering type,which forms a spatial distribution pattern with a belt and multiple centers.According to the level of satisfaction-degree,the area is divided into five levels.Highly satisfied areas formed a contiguous areas.which are scattered and concentrated along the Yangtze River.Medium-level network satisfaction-degree areas has a large proportion.Low-level network satisfaction-degree areas scattered in the provincial border.With the level of scenic spots ranging from high to low,The network satisfaction-degree gradually decreased.The internal differences between 5A and 1A scenic spots were small,but other grades has big differences.And a small number of low-class scenic spots showed activity on the Internet.The difference in network satisfaction-degree between different cities in Hubei was not big.(3)There is similarity and dissimilarity in the distribution of the network attention-degree and network satisfaction-degree of the A-level scenic spots in Hubei Province.The overall trend is generally the same.The center of network attention-degree distribution is centered on the southwest of the network satisfaction-degree distribution.The network satisfaction-degree distribution area is larger.In the spatial autocorrelation analysis,the two are positively related globally.The distribution of network attention-degree is more likely to be a cluster.The characteristics of spatial agglomeration are more obvious.From the analysis of the autocorrelation of local space,the hot spots of network attention-degree and satisfaction-degree are concentrated in the central area of Wuhan,and the cold spots are more concentrated in Shiyan and Huanggang.In the coupling relationship between the two,the high coupling areas is concentrated in Wuhan,Yichang and Enshi.Some scenic spots such as Shiyan Wudang Mountain Scenic Area,Xiangyang Tangcheng Scenic Area,Xianning hidden water cave,Jiugongshan,and Huanggang Dabie Mountain are high coupling.The low coupling areas are mainly distributed in Huanggang,Huangshi,Xiaogan and Shiyan.(4)The final analysis shows that the distribution pattern of network attention-degree and network satisfaction-degree in Hubei A-class scenic spots is influenced by the tourism resources endowments,regional economic level,traffic conditions,tourism infrastructure,and tourism services.The following suggestions are put forward:the first is to integrate similar tourism resources and accelerate the development of the region-based tourism;the second is to cultivate emerging hot spots by excavating the characteristics of scenic spots;the third is to pay attention to key scenic spots,enhance the level of services,and the fourth is to make full use of the Internet platform to enhance the visibility of scenic spots.