摘要
以山西省172处康养旅游地为样本数据,借助平均最近邻指数、核密度等空间分析工具和地理集中指数、基尼系数等数理模型探究康养旅游地的空间集散特征、均衡度及影响因素。研究发现:山西省康养旅游地呈现“大分散、小集聚”的“L”形空间架构;不同类型康养旅游地的数量特征、空间结构及作用因素具有显著差异性;资源禀赋奠定了康养旅游地“南密北疏”的基本格局,交通条件则起导向作用。为此提出优化建议:依托核心圈轴辐射其他区域,构建全域康养新格局;各地市发挥特色优势,实现区域康养差异化、品牌化;加强地域资源优化整合,实现康养旅游地创新联动发展。
Based on the sample data of 172 wellness tourism destinations in Shanxi Province,the spatial distribution characteristics,equilibrium degree and influencing factors of wellness tourism destinations is explored with the help of spatial analysis tools such as the average nearest neighbor index,kernel density and mathematical models such as geographic concentration index and Gini coefficient.It is found that wellness tourism destinations present an L-shaped spatial structure of“large dispersion and small agglomeration”.There are significant differences in the quantitative characteristics,spatial structure and influencing factors of different types of wellness tourism destinations.Natural resource endowment establishes the basic pattern of“dense in the south and sparse in the north”,and transportation conditions play a guiding role.Therefore,some suggestions for optimization were put forward,including based on the core circle axis to radiate and drive other areas to build a new pattern of wellness tourism in the whole province.All cities give play to their characteristic advantages to achieve regional differentiation and branding of wellness tourism.Strengthen the optimization and integration of regional resources and promote the innovative and interconnected development of wellness tourism destinations.
作者
于琳惠
李晋宏
陈娅婷
YU Linhui;LI Jinhong;CHEN Yating(School of Geographical Science,Taiyuan Normal University,Jinzhong Shanxi 030619,China;School of Management,Taiyuan Normal University,Jinzhong Shanxi 030619,China)
出处
《科技和产业》
2022年第6期208-216,共9页
Science Technology and Industry
关键词
康养旅游地
空间布局
影响因素
空间优化
ARCGIS
wellness tourism destination
spatial layout
influencing factors
spatial optimization
ArcGIS