摘要: |
目的 探明乡村民宿热点分布与影响因素,对推动乡村民宿集群化发展,促进乡村民宿高质量发展具有重要意义。方法 文章以贵州省6 319个乡村民宿为研究样本,采用核密度估算、密度场热点探测模型、空间邻域分析、地理探测器等方法,对乡村民宿空间聚集热点及影响因素展开研究。结果 (1)贵州省乡村民宿形成361个空间聚集热点,其中大型热点40个,中型热点136个,小型热点185个。(2)乡村民宿热点主要分布在旅游资源富集、生态状况良好、交通条件便利、自然条件较好、关联产业集聚、社会经济中低水平地区。(3)乡村民宿热点空间分异由旅游资源和关联产业共同主导,并受到生态环境和交通条件的重要影响,其余因素影响作用较弱。(4)乡村民宿在旅游资源富集、关联产业集聚、生态环境优良、交通条件便利地区的聚集分布,是形成乡村民宿热点的主要原因。结论 未来应牢牢把握乡村民宿分布特点,进一步促进乡村民宿与旅游资源、关联产业融合发展,持续改善乡村生态环境质量,提升乡村民宿的通达性、便捷度,推进乡村民宿集聚发展和集聚区建设,促进乡村民宿高质量发展。 |
关键词: 乡村民宿 热点探测 空间热点 影响因素 贵州省 |
DOI:10.7621/cjarrp.1005-9121.20241112 |
分类号:F319.9 |
基金项目:贵州省普通高等学校青年科技人才成长项目“基于POI大数据的贵州乡村旅游空间集聚与驱动机制研究”(黔教合KY字[2022]320号);贵州省2024年哲学社会科学规划年度课题“数智赋能贵州农文旅商融合发展路径研究(24GZQN50);贵州省高校人文社会科学研究项目“贵州民宿与文化旅游融合发展策略研究”(2024RW192) |
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SPATIAL CLUSTERING HOTSPOT DETECTION, SPATIAL CLUSTERINGHOTSPOT DETECTION, DISTRIBUTION AND INFLUENCING FACTORSOF RURAL HOMESTAY INNS——A CASE FROM GUIZHOU PROVINCE |
Yan Xiang1, Yanlin Hou2, Fuduo Li3,4
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1.College of Tourism Management, Guizhou University of Commerce, Guiyang550014, Guizhou, China;2.School of Management, Guizhou University of Commerce, Guiyang550014, Guizhou, China;3.State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Beijing100081, China;4.Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing100081, China
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Abstract: |
It is of great importance to explore the distribution and influencing factors of spatial clustering hotspots of rural homestay inns to promote the clusterization and high-quality development of rural homestay inns. Taking 6 319 rural homestay inns in Guizhou province as the research sample and applying the Density Based Hotspots Detector and Geodetector to investigate the spatial clustering hotspots and influencing factors of rural homestay inns. The results were found as follows. (1) Rural homestay ins in Guizhou formed 361 spatial clustering hotspots, including 40 large-scale hotspots, 136 mid-scale hotspots, and 185 small-scale hotspots. (2) Rural homestay inn hotspots were mainly located in areas with rich tourism resources, favorable ecological status, convenient transportation facilities, good natural resources, clustering of related industries, and low-medium socio-economic performance. (3) The spatial heterogeneity of rural homestay inn hotspots was co-dominated by tourism resources and relevant industries, and strongly affected by ecological environment and transportation conditions, while the influence of the remaining factors was weak. (4) The clustering distribution of rural homestay inns in areas with rich tourism resources, clustering of related industries, favorable ecological environment, and convenient transportation conditions, and these were the main reasons for the formation of rural homestay hotspots. In the future, we should firmly grasp the distribution characteristics of rural homestays, further enhance the concentration degree of tourism resources and the concentration degree of related business forms, continue to improve the ecological environment and infrastructure, promote the development of rural homestays and the construction of agglomeration areas, andpromote the high-quality development of rural homestays. |
Key words: rural homestay inns clustering hotspot detection spatial hotspots influencing factors Guizhou province |