Research On Spatial-temporal Network Structure Of Tourist Flow In Destination City Based On Mobile Data

Tourism has become an important part of China's national economy and modern service industry.Local governments,data enterprises and Internet service providers have begun to cooperate actively,share data,develop and build smart tourism system platforms,using a variety of sensor terminals,Internet and recognition technologies.Digital methods have increasingly become an important supporting technology for tourism industry research and applications.Mobile phone signaling data is a new spatiotemporal behavior data source in the context of big data era.Based on the desensitized mobile phone data,this paper creates a spatiotemporal mobile database for tourists.Under the framework of social network analysis,Nanjing's tourist flow is abstracted into one-day,two-day,three-day and multi-day networks according to different staying time of tourists.The scenic spots and transportation hubs are the nodes in the network,the orderly flow of tourists between nodes is the flow direction,and the number of tourists flowing upwards is the flow strength.From the perspective of network analysis,this paper analyses the changes of network form,the value of node popularity,location value and intermediary control ability.Besides,it analyses the relationship between the node groups,popular tourism routes,core effect of group and the response of surrounding popularity.The spatiotemporal characteristics of Nanjing's foreign tourists can be summarized as follow.(1)The form of tourist flow network can reflect the spatiotemporal behavior of tourists,and the length of tourists' stay has a significant influence on the composition of various elements of the network.With the increase of time,the agglomeration effect of network,flow and nodes is declining;short-term bias to well-known scenic spots,long-term easy to form more local travel routes.Scenic spots have priority of visiting,which can be divided into eight types: network centers,balanced developing ones,location valued ones and bridges.Nanjing Railway Station is the most widely chosen for foreign tourist,while the probability of aircraft is decreasing.(2)There are small groups of closely related nodes in the tourism flow network,which has a clear pattern and develops over time;group recogniton helps to subdivide scenic spots and tourist routes;the distribution of tourist population density in the whole city exists regularity;the group effect and the core of the groups will affect whether the geographical scope of the group exists active tourist popularity response.Finally,under the guidance of social network theory,this paper puts forward strategies for tourism development in Nanjing: taking city space as the main bearing object,forming a development system of scenic spots dominant radiation surrounding,regional linkage and collaborative sharing,and integration of urban tourism development.