基于游客GPS轨迹大数据的西藏旅游流格局与成因  

Spatial Pattern and Influencing Factors of Tourism Flow in Xizang Autonomous Region Based on Tourists'GPS Trajectory Data

作　　者：郑鑫 王甫园 李俊霏 杨兆萍 余玲[4,5] ZHENG Xin;WANG Fuyuan;LI Junfei;YANG Zhaoping;YU Ling(Institute of Geographic Sciences and Natural Resources Research/Key Laboratory of Regional Sustainable Development Modeling,Chinese Academy of Sciences,Beijing 100101,China;School of Geography and Planning,Sun Yat-sen University,Guangzhou 510006,Guangdong,China;State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,Xinjiang,China;School of Urban Planning and Design,Peking University Shenzhen Graduate School,Shenzhen 518055,Guangdong,China;Key Laboratory of Earth Surface System and Human-Earth Relations of Ministry of Natural Resources of China,Shenzhen 518055,Guangdong,China)

机构地区：[1]中国科学院地理科学与资源研究所/区域可持续发展分析与模拟重点实验室,北京100101 [2]中山大学地理科学与规划学院,广东广州510006 [3]中国科学院新疆生态与地理研究所/荒漠与绿洲生态国家重点实验室,新疆乌鲁木齐830011 [4]北京大学深圳研究生院城市规划与设计学院,广东深圳518055 [5]自然资源部陆表系统与人地关系重点实验室,广东深圳518055

出　　处：《经济地理》2024年第11期212-221,共10页Economic Geography

基　　金：国家自然科学基金面上项目(42371253);国家自然科学基金青年项目(42307588);自然资源部陆表系统与人地关系重点实验室开放基金资助课题(LBXT2023YB06);广东省基础与应用基础研究基金项目(2022A1515010696)。

摘　　要：旅游流作为反映旅游者地理位置变化的一种空间流动现象,能够动态揭示旅游目的地以旅游者为主体的人流、物流与信息流变化规律。文章基于2018—2019年西藏自治区游客GPS轨迹数据,采用空间自相关、热点分析、地理探测器与核密度估计方法,对西藏旅游流空间格局与影响因素进行了识别和探讨。结果表明:(1)西藏旅游流整体的空间线性廊道集聚特征与空间关联特征显著,拉萨市、山南市、林芝市、昌都市形成多个旅游流主、次级集聚中心,“核心—边缘”结构特征突出。(2)西藏旅游流形成了“两大、八小”的旅游环线交织的区域旅游网络,促进旅游流及相关要素的空间集聚与扩散。(3)拉萨以东的旅游流热点区域呈线状集聚分布特征,日喀则市、那曲市和阿里地区存在小规模孤立热点区域。(4)西藏旅游流空间格局主要受到海拔、人口密度、旅游景点密度和旅游接待设施密度等要素影响。其中海拔与温湿指数、海拔与旅游接待设施密度等多因子交互作用,主导了西藏旅游流的空间布局。(5)西藏可通过优化局域环线完善旅游流网络、增强线性要素对旅游资源的串联作用、充分发挥旅游核心区域辐射带动作用、科学管控环境风险等方式,推动旅游流结构优化与区域旅游高质量发展。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 ro

关 键 词：旅游流 GPS轨迹数据 空间集聚 旅游资源 旅游接待设施 高质量发展 

分 类 号：K901.7[历史地理—人文地理学]