Research On The Influencing Factors And Mechanism Of Tourism Information Flow From The Perspective Of Network Search

With the deep integration of tourism into China’s socio-economic development pattern,its strategic pillar industry has become increasingly prominent.Many provinces and regions promote the transformation and upgrading of tourism industry through the Internet,and the penetration rate of online tourism market is increasing.The cognition of tourist destination,the seeking of tourism product information and the formation of final tourism decisionmaking rely more and more on the information transmitted by the network.It is of great significance for the development of tourism industry to grasp the development characteristics and laws of tourism information flow,to find out the influence system of the formation and flow of tourism information flow,to explore the mechanism of influencing factors on tourism information flow,and to conduct scientific research and guidance on tourism information flow.From the perspective of tourism information flow generated by tourists’ online search,this paper takes its flow characteristics and laws in time,space and network structure as the research starting point,establishes the influence system of tourism information flow,reveals the structural position of different influencing factors in the system,and analyzes the force of influencing factors,the strength of the combined effect of different independent variables on dependent variables,and different influencing factors The mechanism of action is the difference of sub and the correlation of network structure of influencing factors.On this basis,through the use of support vector machine,the verified influencing factors are simulated,and it is proved that the influencing factors can well predict and control the tourism information flow.Finally,it puts forward the reference decision-making suggestions for the reasonable flow of tourism information flow and the effective improvement of network structure,so as to promote the healthy flow of tourism information flow and improve the regional level of different provinces The balanced development.The main contents of this thesis are as follows:Firstly,based on systematically reviewing related concepts,theories,and existing researches,this paper tracks and analyzes tourist flow network structure of the Beijing--Tianjin-Hebei region.Tourists,the basic elements of tourist flow,are studied primarily.And spatial cognition and line preferences of tourists are analyzed to dig deeper into behavior rules of tourists.Then,network structure of tourist flow is systematically explored,in order to point out power sources of tourist flow and to reveal its running mechanism.Furthermore,with the help of social network analysis,tourist flow network structure model of BeijingTianjin-Hebei region is established.Node feature and network feature are both discussed to provide theoretical references for optimization of regional tourist flow network structure.Secondly,Identify the influencing factors of tourism information flow and establish the system.After the preliminary extraction of the influencing factors of previous studies,through expert discussion,the influencing factors and the basic relationship are sorted out.Then,from the perspective of system engineering,this paper analyzes the influencing factors comprehensively,constructs the influencing system of tourism information flow by using the interpretative structural model,and clarifies the hierarchical relationship and location relationship among the influencing factors;then,it evaluates the dependence and driving force of the influencing factors by combining the multiplication of cross influence matrix.Thirdly,it reveals the mechanism of influencing factors of tourism information flow in the system.Through the selection and correlation verification of the actual index data of different influencing factors,the representative indexes are determined,and the driving force of the influencing factors related to the outflow and inflow of tourism information,the change of the influence of different influencing factors on the dependent variables and the difference of the effect of different influencing factors are identified through the geographic detector.Finally,using UCINET tool,this paper studies the spatial network correlation and regression analysis between representative indicators and tourism information flow in the form of network matrix.Fourthly,support vector machine(SVM)is used to simulate the influence of system elements on tourism information flow.The panel data of influencing indicators are input into support vector machine to verify the fitting effect between the output results and the real results;and compared with partial least squares regression and multiple linear regression models,it is proved that support vector machine can better predict tourism information flow and improve management efficiency.Finally,based on the comprehensive analysis of the impact system of tourism information flow,the paper puts forward countermeasures for the reasonable development of tourism information flow and the optimization of tourism information flow between provinces.To promote the effective flow of tourism information flow between different regions,to promote the harmonious development of tourism information flow and tourism industry,and to narrow the development gap of tourism information flow between provinces and regions.