Calculation Of Scenic Spot Heat And Spatial Connection Based On Location Microblog

The content of micro-blog,photos and other forms published by tourists can reflect the behavior patterns,tourist attitudes and image perceptions of tourists,and has become an important data source for tourism and tourism geography research.In particular,it is widely used in the study of high-heat place names,collinear relations,tourists' space-time trajectories,tourist landscape spatial patterns,and tourism perception.The study of tourism space heat is directly related to the development of the location of the scenic spot.As a carrier of tourist activities,tourist attractions will inevitably have an impact on the peripheral space of the scenic spot.How to obtain the characteristics of the thermal space outside the scenic spot has become the focus of scholars.At present,the scenic spots in the ancient city of China are widely loved by tourists and become an important destination for tourists to travel.Therefore,the research on the spatial heat and spatial connection of the tourist attractions in ancient cities not only has important theoretical value,but also has practical significance for promoting the protection of ancient city scenic spots and the healthy development of the tourism industry.Taking Pingyao Ancient City as an example,this paper selects the Sina location micro-blog text data and the sign-in POI data published by the tourists as the data source,and the hot-spot tourism name jointly represented by the attribute characteristics of the POI data and the micro-blog text content is the entry point and the tourist.Based on the location of Weibo and the content of Weibo text,the calculation method of scenic spot heat and internal and external space connection is proposed.The advantages of this method are as follows:(1)On the basis of distinguishing the heat of text representation and the heat of sign-in behavior,the hot spot of VGI comprehensive characterization such as location micro-blog is given,the connotation of scenic spot heat is refined,and the subsequent application of scenic spot heat is expanded.(2)Calculate spatial connections based on multiple perspectives,and be able to discover the tourist's tour patterns and the specific connections between the space inside and outside the scene.The research shows that the combination of Sina Weibo data and POI data can clearly show the spatial heat of tourism scenic spots based on multi-view and multi-dimensional expression and the spatial connection between the scenic spots and the outside.It mainly includes:(1)Based on the multi-view and multi-dimensional expression of the Pingyao ancient city heat map,it can be found that the “Pingyao Theater” and “Pingyao Railway Station” in the outer space of the ancient city have higher heat space values,and the ancient city wall of Pingyao is the first attraction for tourists to enter the ancient city.The space is hotter than other attractions in the ancient city.The space for "I am waiting for you in Pingyao","Pingyao County Museum","Sakura House Western Restaurant Bar","Traveler Bar" and so on is relatively high.(2)Combining the heat space pattern based on POI sign-in data calculation with the POI in space,it divides the traffic node type function area and the scenic type function area,and they have common concerns in connection with the ancient city,but The traffic node type functional area is more widely connected with the ancient city.(3)Visitors who watched the performances of Pingyao Theater outside the ancient city have a strong interest in Pingyao County Office,China Escort Museum and China Ticket Museum as a typical place for sightseeing.(4)The railway station area outside the ancient city,“see also Pingyao area” has a high connection with Pingyao County Department in the ancient city,“China Ticket Museum”,“China Escort Museum” and “Sakura House Western Restaurant Bar”.