基于POI数据的旅游产业空间分布及关联性分析--以环巢湖为例

A Case Study of Spatial Distribution and Correlation Analysis of Rural Tourism Industry Based on POI Data

POI数据为基础,综合运用最邻近指数、核密度分析、社会网络技术等方法,对环巢湖地区旅游产业空间分布特征、空间集聚特征以及产业间的空间关联性进行分析。结果表明:(1)环巢湖旅游产业分布存在显著的空间分异性,业态数量分布不平衡、结构类型分布不均衡是其旅游产业空间分布的典型特征;(2)环巢湖旅游产业空间集聚特征差异显著,整体上呈现出“东西两翼密集,南北两岸稀疏”的特征。部分旅游产业类型具有多核发展趋势,在周边县域表现出多中心、低密度点状集聚的空间分布特征;(3)环巢湖各类型旅游产业间存在显著的空间相关性,整体关联网络密度较高。其中,餐饮、住宿、出行、购物和娱乐彼此间为高相关性,但游览业与其他业态的空间关联性相对较低。

Based on the POI data of the tourism industry in the area around Chaohu Lake,this study comprehensively applies methods such as nearest neighbor index,kernel density analysis,and social network technology to analyze the spatial distribution characteristics,spatial agglomeration characteristics,and spatial correlation between industries of the tourism industry in the area.The results show that:(1)there is significant spatial differentiation in the distribution of the tourism industry around Chaohu Lake,and the typical characteristics of its spatial distribution are the uneven distribution of the number of business formats and the uneven distribution of structural types;(2)There are significant differences in the spatial agglomeration characteristics of the tourism industry around Chaohu Lake,showing an overall characteristic of"dense east-west wings and sparse north-south banks".Some types of tourism industry have a multi-core development trend,exhibiting spatial distribution characteristics of multi center and low-density point clusters in surrounding counties;(3)There is a significant spatial correlation among various types of tourism industry around Chaohu Lake,and the overall density of the correlation network is relatively high.Among them,catering,accommodation,transportation,shopping,and entertainment are highly correlated with each other,but the spatial correlation between the tourism industry and other formats is relatively low.