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作 者:王朝辉 李思梦 乔浩浩 高杨 WANG Chaohui;LI Simeng;QIAO Haohao;GAO Yang(School of Geography and Tourism,Anhui Normal University,Wuhu 241002,Anhui,China)
机构地区:[1]安徽师范大学地理与旅游学院,安徽芜湖241002
出 处:《华中师范大学学报(自然科学版)》2024年第1期83-93,共11页Journal of Central China Normal University:Natural Sciences
基 金:国家自然科学基金项目(42171243)。
摘 要:乡村旅游是乡村振兴的有效实施路径,民宿产业是乡村旅游发展的重要抓手.研究选取黄山市黟县为案例地,采用ArcGIS、SPSS等分析软件,并基于克里金插值法和特征价格模型,研究民宿产业定价的空间分异特征及影响因素.结果表明:1)民宿房价整体呈现以碧山为代表的资本主导型民宿高值区,以塔川、南屏、关麓、卢村和屏山景区为核心的传统村落型民宿次高值集聚区.2)不同等级民宿区位选择偏好不同,中低档民宿主要依托旅游景点呈现多组团集聚分布,而高档民宿较为分散,未形成明显的集聚.3)民宿房价的空间分布与旅游吸引物、区位特征、场所空间、户外景观、原生态环境等因素高度相关.4)房源特征对民宿定价的影响最大,经营投入、品牌声誉和景观特征等因素影响次之.Under the background of rural revitalization strategy,homestay industry is an important hand in promoting rural economic development.Taking Yi County of Huangshan City as the research object,and adopting analysis softwares such as ArcGIS10.5 and SPSS26.0,and the spatial differentiation characteristics of homestay price and its influencing factors were investigated based on the Kriging interpolation method and the characteristic price model.The results are shown as follows.1)Homestay prices as a whole present a capital-led homestay high-value area represented by Bishan;traditional village-type homestays centered on Tachuan,Nanping,Guanlu,Lucun and Pingshan scenic areas are secondary high-value clusters.2)Different grades of homestays have different location selection preferences,with medium and low grade homestays mainly relying on the distribution of settlements and tourist attractions showing multi-group cluster distribution,while high grade homestays are more dispersed and have not formed a cluster area.3)The spatial distribution of homestay price is closely related to tourism attractions,locational characteristics,place space,outdoor landscape,pristine ecological environment and capital agglomeration.4)Room characteristics have the greatest impact on homestay price,followed by operational inputs,brand reputation and landscape features.
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