Study On The Spatial Structure And Spatial Autocorrelation Effect Of Destination Urban Tourist Flow In A Network View

Both holiday system reform and paid vacation policy have stimulated the continuous growth of the total amount of tourists and the total amount of consumption Meanwhile,more cities have begun to build "smart tourism" system in order to achieve monitoring,early warning and timely diversion of tourist flow in both city and key scenic spots,with the use of the internet and big data.The development of tourism has become an important factor influencing the change of urban spatial structure,and tourists' activities in urban have become one of the motive forces of urban development and change.Study on the effects of network structure and the influence mechanism of tourist flow in destination city is not only of great realistic significance for understanding the city tourism development,distributing tourism resources rationally,and achieving targeted marketing,and but also provides a theoretical basis for tourism planning.Taking Nanjing as the research area,the tourist flow between tourist-guest source and scenic spots in Nanjing and the tourist routes between scenic spots were studied based on smart tourism data platform of Nanjing.The tourist flow was abstracted into a network,in which the tourist-guest source and scenic spots were regarded as nodes,and the relationship between them was regarded as the arcs.Firstly,Based on the theory of social network analysis,this paper analyzed the network structure of tourist routes between scenic spots in Nanjing during the Spring Festival,using the Ucinet6.627,Netdraw2.160,Arcgis 10.0,Excel 2016.Secondly,with the help of MATLAB7.10.0,Arcgis10.0 and other platforms,the network structure and autocorrelation effects of tourist flow between tourist-guest source and scenic spots in Nanjing were investigated.Finally,the spatial O-D models were applied to explore the influence mechanism of tourist flow between tourist-guest source and scenic spots in Nanjing.The following conclusions were drawed:(1)The network density of tourist routes in Nanjing is high.The high overall clustering coefficient and low average distance shows that the multi-destination tourist network in Nanjing has a small world effect.The links between core scenic spots are very close,however,there are relatively low intensity of periphery spots.Hopefully,the development of periphery scenic spots driven by core scenic spots is better.(2)According to the spatial distance,tourist-guest source of Nanjing can be divided into three circles,respectively 0-300km,300-800km,800km away,which are corresponding to three types of spatial distribution of tourist flows:part of dispersion type,cluster type,high concentration type.(3)Tourist flow is not independent,but influenced by each other.There are significant network autocorrelation effects both tourist-guest source network and scenic spots network,and the former is stronger;(4)Considering the spatial autocorrelation effects,the spatial O-D models have more advantages at fitting influence factors of tourist flow.Time distance from the tourist-guest source to scenic spots and the tickets of scenic spots are inhibitors for the formation of the tourism flow.The urbanization rate,discretionary income per capita of tourist-guest source,the amount of hotel surrounding the tourist scenic spots and the main.attractions inside the scenic area are the main promoting factors of tourist flow.