%0 Journal Article
%T 基于GIS可视化的新疆游客行为空间特征研究<br>Study on the Spatial Characteristics of Xinjiang Tourists’ Behavior Based on GIS Visualization
%A 宋绍展
%A 吴函哲
%A 赵晨
%A 朱怡婷
%J Sustainable Development
%P 1779-1785
%@ 2160-7559
%D 2024
%I Hans Publishing
%R 10.12677/sd.2024.147205
%X 本文以新疆维吾尔自治区为研究对象，以网络游记文本为数据基础，运用ArcGIS10.8.1软件，通过核密度分析方法对新疆游客的行为空间特征进行了深入剖析。研究结果显示：1) 游客主要汇聚于北疆地区，而南疆及新疆东部地区的游客数量则相对较少。具体而言，伊犁地区、博尔塔拉蒙古自治州、乌鲁木齐市、阿勒泰地区、喀什地区以及吐鲁番市成为游客的主要聚集地。2) 游客汇集成了以博乐市的赛里木湖、巴州的巴音布鲁克景区、伊犁州新源县的那拉提草原、伊犁州昭苏县昭苏国家湿地公园、乌鲁木齐市、阿勒泰布尔津县喀纳斯、喀什市喀什古城以及吐鲁番市周边景点为中心的8个聚集区。3) 北疆地区因壮美的自然景观和便捷的交通条件，对游客更具吸引力；相比之下，南疆地区由于景区与城市间的较大距离及复杂的地理环境，其综合吸引力稍显不足，导致游客数量相对较少。<br />
This paper takes Xinjiang Uygur Autonomous Region as the research object, takes online travel text as the data basis, uses ArcGIS10.8.1 software, and uses kernel density analysis method to deeply analyze the spatial characteristics of Xinjiang tourists’ behavior. The research results show that: 1) Tourists mainly gather in northern Xinjiang, while the number of tourists in southern Xinjiang and eastern Xinjiang is relatively small. Specifically, Ili Prefecture, Bortala Mongol Autonomous Prefecture, Urumqi City, Altay Prefecture, Kashgar Prefecture and Turpan City have become the main gathering places for tourists. 2) Tourists gathered in eight clusters centered on the Sailimu Lake in Bole City, the Bayinbuluke Scenic Area in Bayingolin Prefecture, the Nalati Grassland in Xinyuan County, Ili Prefecture, the Zhaosu National Wetland Park in Zhaosu County, Ili Prefecture, Urumqi City, Kanas in Burqin County, Altay, the Kashgar Ancient City in Kashgar City, and the surrounding attractions in Turpan City. 3) The northern Xinjiang region is more attractive to tourists due to its magnificent natural scenery and convenient transportation conditions; in contrast, the southern Xinjiang region is slightly less attractive due to the large distance between the scenic area and the city and the complex geographical environment, resulting in a relatively small number of tourists.
%K 游客行为，空间特征，网络游记，核密度分析<br>Tourist Behavior
%K Spatial Characteristics
%K Online Travel Notes
%K Kernel Density Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=92423