| In December 2017,the Hainan provincial government issued "about speed up the development of the driving motor caravan tour of the implementation opinions",made clear that by 2020,built a perfect public service of self-driving travelling tourist destination,to introduce a batch of high-quality goods from the driving motor caravan tour line,the basic formation of policy environment optimization,industry scale expansion,development quality and good comprehensive benefits from driving in the car industry system.Self-driving tourism in China has a relatively short development time,and the relevant theoretical research started relatively late,and most of them are qualitative description researches on the prospect development report of self-driving tourism market and the behavior characteristics of self-driving tourism.Foreign literature for self-drive tourism research has involved self-drive travel routes,traffic,destinations,attractions and service facilities such as relatively detailed and in-depth phase,and domestic research is still limited in self-drive tourism development present situation,market,and importance of shallow descriptive stage,involves the self-drive travel passenger volume specific direction of study is less,and few scholars for the present application of social network analysis method for self-driving tourist traffic from two dimensions of time and space to study.Social network analysis is a research method based on the relational perspective to quantitatively express the interaction patterns of various actors in the social environment.It provides many indexes such as network density,network centrality,structural hole and core-edge structure to measure the characteristics of the whole system and single node,which can reflect certain network structure characteristics,and is an important quantitative method to study the spatial structure of tourism flow.Using social network analysis of Hainan province self-drive tourism flow network structure,to enrich the theory and method of research on tourism flow network structure,at the same time of making the overall development of Hainan province development layout,lines,self-driving service system construction,and the destination node making the choice of development strategy,marketing strategy has important practical significance.Based on the systematic self-drive travel,social network analysis method,etc,on the basis of related literature,self-drive tourists of Hainan province in 2017 as the research object,the cellular system with ctrip and day of self-drive tourists travel network as the data source,using the web crawler technology method to extract the self-drive tourists spatial and temporal information,self-driving tourist flow database of Hainan province is established.Firstly,the spatial and temporal analysis methods in geography(including time distribution intensity index,peak index,geographical concentration index and spatial use curve)are used to analyze the structural characteristics of the tourist source market of self-drive tourists in Hainan province.Secondly,the characteristics of network structure are studied by means of social network analysis methods(measurement indexes include network density,centrality,core edge structure and structure hole).Thirdly,the spatio-temporal characteristics of self-driving tourist flow are compared with those of general tourist flow to analyze the differences.Finally,according to the above analysis results,Suggestions are put forward for the development of self-drive tourism in Hainan province. |
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