Tourist Flows Of Self-Service Network Structure Based On Tourism Digital Footprint

Due to the rapid development of economy,people's income level and leisure time increase constantly,so people's consumption ability of tourism is increasing,and the demand for tourism quality is constantly improving.Self-service tourism is more independent and flexible compared with other modes of tourism.Self-service tourism has become one of the popular ways for people to travel.It ushered in a new era of mass tourism based on self-service tourism.At the same time,with the rapid development of Internet technology,more and more tourists will get tourism information conveniently and quickly through the Internet,and leavethe digital footprints on the Internet or other information systems.These footprints can reflect tourists' behaviors to a certain extent.This makes it possible to use the network to obtain data to study the tourism phenomenon.In this paper,through the carding of the research of tourist flow,network structure of tourist flow at home and abroad,based on the summary of the social network theory,the theory of spatial pattern of tourist flows and tourism behavior,to analyse the basic feature of self-service tourist flow I use the Ucinet6.0 a analytic technique of social network,taking Dalian city as a destination for an empirical study,and use the web crawler technology to obtain digital footprint for travel.Under the influence of temperature and public holidays,self-service tourists visited Dalian for two peak periods a year.From June to August and October,self-service tourists visited Dalian to spend 1000 to 2000 yuan in Dalian,accounting for 42% of all self-service tourists,the average cost is 2012.2 yuan,the largest number of visitors in Dalian for 3 days,42% of the total number of samples,and average stay days is 3.15 days.The structure characteristics of the tourist nodes and the whole network are respectively calculated.According to the calculation results of the tourism node structure,there are four types of tourist attractions in Dalian city.According to the calculation results of the whole network,the overall density of the network structure of self-service tourist flow in Dalian is 0.2579,the outward degree of the tourist nodes is 50.44%,the center degree of the tourist nodes is 53%,the center potential of the tourism node is 20.31%,and the medium potential is low.Finally to explore the influence of Dalian network structure composed of influencing factors,the results show that the network structure of self-help tourism flow in Dalian is influenced by the internal factors that quality of tourism resources,tourism visibility and reputation of the scenic area,tourist service facilities and the external factors like transportation.According to the present situation of self-help tourism and the characteristic of the network structure in Dalian,I proposed four optimization Suggestions that speed up the transformation of tourism industrial upgrading,improve the self-help service system,improve and enhance the function of the scene area of tourism node,strong the construction of the three platform of tourism flow,improve the connection degree of overall network to provide the reference for the development and construction of tourism industry of Dalian in the future.