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作 者:魏娟 钟永德[2] 朱安妮 WEI Juan;ZHONG Yongde;ZHU Anni(College of Forestry,Central South University of Forestry and Technology,Changsha Hunan 410004,China;School of Tourism,Central South University of Forestry and Technology,Changsha Hunan 410004,China)
机构地区:[1]中南林业科技大学林学院,湖南长沙410004 [2]中南林业科技大学旅游学院,湖南长沙410004
出 处:《生态经济》2021年第5期139-147,共9页Ecological Economy
基 金:湖南省社科基金重大招标项目“我省推进全域旅游建设旅游强省的着力点与战略步骤研究”(16ZB10);湖南省研究生科研创新项目资助“基于DMSP-OLS和NPP-VIIRS数据的张家界市暗夜时空变化与旅游经济关系研究”(CX20200743)。
摘 要:"吃、住、行、游、购、娱"旅游六要素的POI数据能反映出旅游相关对象的空间结构、分布形态和旅游空间实体所承载的社会经济功能,而夜间灯光影像是反映区域经济发展情况的重要手段。文章从旅游要素POI对夜间灯光指数的贡献视角,基于多元线性回归、空间自相关和地理加权回归方法,以湖南省122个县(市、区)为案例分析了旅游要素POI和灯光之间的关系和空间异质性。结果显示,购物服务、休闲娱乐、交通服务对灯光指数具有正向影响,观光游览对灯光指数具有负向影响,不同的旅游要素POI对灯光影响呈现明显的空间差异。这一特征是区域旅游活动、旅游经济发展综合作用的结果,研究内容为区域旅游研究提供了新的方法和视角。The POI data of the six major elements of tourism of"eating,housing,transportation,travel,shopping,and entertainment"can reflect the spatial structure and distribution of tourism-related objects and the social and economic functions carried by the tourism space entity.The night light image is an important means to reflect the regional economic development.From the perspective of the contribution of tourism element POI to the night light index,based on multiple linear regression,spatial autocorrelation and geographically weighted regression methods,this paper uses 122 counties(cities,districts)in Hunan Province as cases to analyze the relationship between tourism element POI and lighting Relationship and spatial heterogeneity.The results show that shopping services,leisure and entertainment,and transportation services have a positive impact on the lighting index;sightseeing has a negative impact on the lighting index;different tourism elements POI have obvious spatial differences in the impact of lighting.This feature is the result of the comprehensive effect of regional tourism activities and tourism economic development.The research provides new methods and perspectives for regional tourism research.
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