Study On The Structure And Optimization Of Self-driving Tourism Flow In Aba Prefecture Under The Digital Tourism Footprint

With the rapid development of tourism and Internet industry,a large number of tourism website portals that covering travel notes and strategies have emerged.More and more tourists record their travel experience by writing travel notes on tourism websites,which includes the summary of tourists before,during and after traveling.The "footprint" information left by tourists can reflect the real tourism behavior in detail.Self-driving tourism in Aba Prefecture has developed rapidly,but there are still some problems in planning,development and management.Based on the statistics and analysis of tourists' digital footprints,this paper finds out the characteristics of selfdriving tourism flow in Aba Prefecture,analyses the relevant influencing factors and puts forward relevant optimization suggestions to promote the good development of self-driving tourism in Aba Prefecture.Based on the previous research results,this paper aims at the relevant concepts of tourism digital footprint,self-driving tourism and tourism flow,and summarizes the related concepts of tourism digital footprint,self-driving tourism and tourism flow network structure.The trajectory of tourist activities in Aba Prefecture is taken as the main research object in this paper,and the paper focus on the factors of tourist flow.Based on the tourist routes mentioned in the tourist network travel notes,this paper constructs the tourist flow database.By using the methods of social network analysis,network data collection,qualitative and quantitative analysis,and with the help of UCINET,crawler software and Photoshop and so on,this paper respectively constructs the network structure of self-driving tourism flow in Aba Prefecture with 13 administrative regions and 30 scenic spots as nodes,respectively.By calculating the node centrality,structural hole and network structure scale,density,central potential,cohesive subgroup analysis and core-edge from two perspectives,the characteristics of Aba self-driving tourism flow network are analyzed from the two levels of "line"(trajectory of tourism flow)and "surface"(interaction of tourism flow in different regions).The research finds that the network structure with scenic spots as nodes breaks the administrative divisions and reflects the preferences of Self-driving Tourists for scenic spots and tourist routes in Aba Prefecture from the micro level,which has guiding significance for the development of scenic spots.The network structure with county as the node observes the overall passenger flow direction and flow of Aba Prefecture from the macro level,which has practical guidance for the government's macro-control.The results show that Aba self-driving tourism flow network presents prominent core nodes,dense in the East and sparse in the west,and the central axis nodes are closely linked,and the overall imbalance exists.Finally,aiming at the characteristics of self-driving tourism flow in Aba Prefecture from August 1,2016 to August 1,2018,this paper analyses the causes and influencing factors of the current situation,and puts forward optimization suggestions according to the related planning,resource distribution and transportation factors of Aba Prefecture.We should speed up the pace of global tourism,improve the construction of tourism transportation network;improve the core node,the edge node development,guide the tourism flow;enrich the self-driving travel product system,speed up self-driving landing;enhance the image,increase marketing efforts,and improve the security service system.