Research On The Evolution Of Network Structure Of Self-driving Tourist Flow In Tibet

Tourist flow is the interactional way between tourist destination and tourist origin.In recent years,the spatial structure of tourist flow attacks the attention of the scholars,and there are many achievements about it,but almost all of the progresses are concentrated in static tourist flow.There are few studies on the law of dynamic tourism flow,and lack of quantitative research.Social network analysis is a research approach what based on the the visual angle of relatio to study the spatial structure of tourist flow,and it provide a large number of techniques and indicators to measure the structure of the whole system,it is a quantitative means.The self-driving tourist route usually have multi-destination,and with the development of self-driving tour and traffic network,its tourist flow also presents more complex spatial structure.That studying the evolution of network structure of self-driving tourist flow by using social network analysis can enrich the theory and method about it,at the same time,it has important practical significance to the spatial layout of tourism development,traveling line development,and consruct self-driving travel service system in Tibet,and the choice of self-driving tour development strategy and marketing strategy to each destination node.This study takes self-driving tourist flow in Tibet as the research object,based on the theory of self-driving tour,the theory of tourist flow and the theory of social network analysis,taking 2011,2014,2017 as timing,grabing self-driving tourist route which come form online travel notes in Tibet.Fristly,selecting 37 county tourist destinations as notes in network based on visiting frequency,the self-driving tour route between the destination as the link between the nodes,and these nodes and links establish the network structure of self-driving tourist flow in Tibet.Consturcting net evaluation system of self-driving tourist flow which include density,centralpotential,core-periphery model,cohesive subgroup analysis,and centrality degree,structural holes.Scondly,based on measurement results of index,studying the network structure of 2011,2014 and 2017 separately,and summarizing the features of its dynamic evolution.Finally,according to the actual situation and the characteristics of the network evolution,puting forward a series of purposes to the development of the drive tourism in Tibet.