Spatial Pattern and Influencing Factors of Tourism Flow in Xizang Autonomous Region Based on Tourists'GPS Trajectory Data
Tourism flow,as a spatial flow phenomenon that reflects the geographical location changes of tourists,can reveal the changes in the people flow,logistics,and information flow in tourist destinations,with tourists as the main body.Based on the GPS trajectory data of tourists in Xizang Autonomous Region from 2018 to 2019,this study uses the methods of spatial autocorrelation,hotspot analysis,geographical detectors and kernel density estimation to identify and discuss the spatial pattern and influencing factors of tourism flows in Xizang.The research findings show that:1)The spatial linear corridor agglomeration characteristics and spatial correlation characteristics of the overall tourism flow in Xizang are significant.Lhasa City,Shannan City,Nyingchi City and Qamdo City have formed multiple primary and secondary agglomeration centers of tourism flow,and the"core-edge"structural characteristics are prominent.2)The tourism flow in Xizang has formed a regional tourism network interwoven with two major and eight minor tourism circuits,promoting the spatial agglomeration and diffusion of tourism flow and related elements.3)In the east of Lhasa City,the tourist flow hotspots areas form obvious linear agglomeration distribution characteristics in space.There are small-scale isolated hotspots areas in Xigaze City,Nagqu City and Ngari Prefecture.4)Altitude,population density,tourist attraction density,and tourist reception facility density are the main factors affecting the spatial distribution of tourism flows in Xizang.The interaction of multiple factors,such as altitude and temperature-humidity index,altitude and tourism reception facility density,predominantly shapes the spatial distribution of tourism flow in Xizang.5)The study proposes that tourism flow structure optimization and high-quality tourism development of Xizang can be promoted in ways like optimizing local loops to improve tourism flow network,enhancing the linkage effect of linear elements on tourism resources,fully leveraging the radiating and driving role of core tourism areas,and scientifically managing environmental risks.
tourism flowGPS trajectory dataspatial agglomerationtourism resourcestourism reception facilityhigh-quality development
NETL
NSTL
万方数据
