Study On The Response Of Regional Tourist Attraction And Tourist Flow Tendency

The "independent management" of tourism destination construction and the "polarization" of tourists' travel have become the core problems that restrict the high-quality and sustainable development of regional tourism.Based on the network transformation of theoretical research and the practical needs of integrated tourism development,this paper puts forward the construction ideas and methods of spatial network structure of regional tourism attraction and response to tourist flow tendency,in order to provide a theoretical basis for the formulation of regional spatial guidance planning.On the basis of defining relevant concepts,this paper applies flow space theory,spatial interaction theory,tourism spatial structure theory,tourism supply and demand equilibrium theory and machine learning theory to explore the response relationship between regional tourism attraction and tourist flow tendency.Following the logical thinking of "research framework-empirical research-optimization",the research framework is written in a progressive way of "network structure construction ?structural feature extraction ? response effect testing ? response system simulation".The main research contents are summarized as follows:First,constructing regional tourism attraction network structure.Based on spatial interaction theory,network formation mechanism of clear tourist attraction,on this basis,for regional pointing in a particular region,in urban area for the node,converged network,traffic,meteorology and multi-source heterogeneous data such as statistical yearbook for regional tourism attraction intensity of O-D is calculated,and then build the attraction of regional tourism network,lay the foundation for the analysis of below network structure characteristics.Second,the topological structure characteristics of regional tourism attraction network are analyzed.Differences around the space-space correlation characteristics-spatial agglomeration "regional tourism attraction network analysis framework of feature extraction,respectively,the original value of the building,two values,the Top three network form,the integrated use of GIS data analysis method,the social network analysis method,the complex network analysis method,such as complementary reveal regional tourism attraction network evolution characteristics and structural characteristics.Third,to examine the relationship between regional tourism attraction and tourist flow tendency response.From the perspective of tourist flow tendency,this paper explores the spatial efficiency of tourism attraction network.Based on the "Baidu Index-Internet Attention" as the source of O-D convection data of tourist flow tendency,a network of regional tourist flow tendency is constructed.On the basis of clarifying the interactive response mechanism of tourism attraction and tourist flow tendency system,the response effects of tourism attraction and tourist flow tendency system are discussed from the multi-dimension.Fourth,the operation mechanism of the response system of regional tourism attraction and tourist flow tendency is simulated.Based on the geographic detector model,the core indicators of regional tourism attraction influence are screened.With the help of BP neural network model,the operation mechanism of the response system of tourism attraction and tourist flow tendency can be simulated.In the future,the development trend of the relationship between regional tourism attraction and tourist flow tendency can be simulated by setting different situations,so as to lay a theoretical foundation for the formulation of countermeasures and suggestions.Fifth,carry out empirical research.In Beijing-Tianjin-Hebei region as the typical case area,"51" little long vacation time for research and construction of the attraction of regional tourism network,multi-angle and comprehensive analyze the regional network structure characteristics,explore the attraction of regional tourism and tourist flow tended to response the effect,and according to the calculated result,training the BP neural network,for the theory of integration in Jing-Jin-Ji regional tourism construction and strategic design to provide theoretical support..Last,the countermeasures to improve the response level of regional tourism attraction and tourist flow tendency are put forward.According to the theoretical research and empirical results,combined with practical policy established,from constituting the overall regional tourism development planning as a whole,the reasonable network structure optimization of regional tourist attraction,scientific guiding regional tourist behavior,accelerate the high quality of regional tourism development,etc,and regional tourist attraction and tourist flows tend to be the best match.