干旱区地理2025，Vol.48Issue(7)：1243-1254,12.DOI:10.12118/j.issn.1000-6060.2024.527
基于POI的天山北坡城市群旅游要素空间格局及影响因素
Spatial pattern and influencing factors of tourism elements in the urban agglomeration on the northern slope of Tianshan Mountains based on POI
摘要
Abstract
This study employs the theory of the"six elements"of tourism and utilizes spatial analysis methods,including nearest neighbor index,kernel density analysis,bivariate spatial autocorrelation,and Ripley's K-func-tion,to examine the spatial distribution and correlation characteristics of point of interest data related to tourism elements in the urban agglomeration on the northern slope of the Tianshan Mountains in Xinjiang of China based on data collected in April 2024.In addition,we explore the influencing factors using a geographical detector.The results show the following.(1)The spatial distribution characteristics of each tourism element exhibit significant concentration,with the degree of spatial agglomeration ranking from high to low as follows:"food">"shopping">"accommodation">"transportation">"entertainment">"tourism".(2)Each tourism element demonstrates weak spatial continuity,resulting in a distribution pattern characterized by"one core,one axis,and multiple centers".At the county level,the spatial correlation among tourism elements is generally weak;however,a strong correla-tion exists between the"transportation"element and other elements,whereas the"tourism"element exhibits weak correlations,indicating a need for optimization in the spatial distribution of tourism elements.(3)The char-acteristic value of the overall spatial agglomeration scale of the"six elements"of tourism is 33.83 km.Among the different elements,the"tourism"factor shows the largest spatial agglomeration scale eigenvalue(42.95 km),whereas the"accommodation"factor has the smallest(18.48 km).(4)The influence of the interaction between each factor on the spatial pattern of tourism elements is significantly greater than that of any single factor.This re-search highlights the effects of multi-dimensional factors,including economic development level,infrastructure,and population on the spatial pattern of tourism elements,with GDP,night light index,number of A-level scenic spots,population density,and the proportion of the tertiary industry having the most significant effects.关键词
城市群/旅游要素/双变量莫兰指数/Ripley's K函数/地理探测器/天山北坡Key words
urban agglomeration/tourism elements/bivariate Moran's I/Ripley's K-function/geodetector/the northern slope of Tianshan Mountains引用本文复制引用
夏梓洋,夏云帆,王宁,林伟,马丽娜,谭晓平,张艳珍,焦瑞..基于POI的天山北坡城市群旅游要素空间格局及影响因素[J].干旱区地理,2025,48(7):1243-1254,12.基金项目
新疆维吾尔自治区高校基本科研业务费科研项目(XJEDU2024J133) （XJEDU2024J133）
新疆维吾尔自治区文化和旅游厅2023年度调研课题(23WLT1014)资助 （23WLT1014）
