基于ArcGIS的长三角城市群旅游经济时空差异研究  

Research on the Temporal and Spatial Differences of Tourism Economy in the Yangtze River Delta Urban Agglomeration Based on ArcGIS

作　　者：郭芸 

机构地区：[1]上海工程技术大学管理学院,上海

出　　处：《运筹与模糊学》2023年第3期2419-2428,共10页Operations Research and Fuzziology

摘　　要：长三角城市群是我国经济发展最快的地区,研究其旅游经济差异对我国旅游业的发展具有重要意义。本文通过标准差、变异系数、旅游经济发展水平梯度等指标及运用ArcGIS的空间自相关分析等方法,绘制变异系数和标准差的时序演变图,及旅游经济水平梯度空间差异图和局部lisa集聚图来研究2009~2019年长三角城市群26个城市旅游经济的时空发展差异。得出以下结论:标准差逐渐上升而变异系数不断下降并交集于2016年;莫兰指数介于0.01到0.09之间,长三角城市群空间相关性较低;上海旅游经济水平梯度最高,总体表现出“核心带动周边”的旅游经济增长结构;lisa集聚图呈现出东部旅游发展水平较高而西部较的空间分异特征。The Yangtze River Delta city cluster is the fastest developing region in China, and studying its tourism economic differences is of great significance to the development of China’s tourism industry. In this paper, the temporal and spatial development differences of 26 cities in the Yangtze River Delta city cluster from 2009 to 2019 were studied by using standard deviation, coefficient of variation, gradient gradient of tourism economy and spatial autocorrelation analysis of ArcGIS to draw the temporal evolution map of coefficient of variation and standard deviation, as well as the spatial difference map of gradient and local lisa agglomeration map of tourism economic level. It is concluded that the standard deviation gradually increases while the coefficient of var-iation decreases and intersects in 2016;The Moran index is between 0.01 and 0.09, and the spa-tial correlation of the Yangtze River Delta city cluster is low;Shanghai has the highest gradient of tourism economy, which generally shows the tourism economic growth structure of “core driving the surrounding areas”;The Lisa agglomeration map shows the characteristics of high level of tourism development in the east and relatively spatial differentiation in the west.

关 键 词：长三角城市群 旅游经济差异 时空演变 ARCGIS 

分 类 号：F59[经济管理—旅游管理]