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苏南、浙北地区民宿空间分布特征及其影响因素
引用本文:沈士琨,史春云.苏南、浙北地区民宿空间分布特征及其影响因素[J].热带地理,2022,42(1):123-135.
作者姓名:沈士琨  史春云
作者单位:江苏师范大学 地理测绘与城乡规划学院,江苏 徐州 221116
基金项目:国家自然科学基金面上项目“游憩功能在后生产主义乡村多元价值空间重构中的作用机制研究”(42071168);江苏师范大学研究生科研与实践创新计划项目(2021XKT0067)。
摘    要:选取社会经济、配套产业发达且相近的苏南、浙北地区作为研究区域,基于百度地图API中的地点检索服务获取民宿点地理信息,结合空间分析方法与地理探测器探究两地民宿空间分布特征与影响因素。结果表明:1)两大地区民宿均呈显著集聚状态,分布在地势低平且水系发达区域,依托高禀赋旅游资源和交通干线集聚。2)在两地区别上,苏南民宿表现出集聚程度上的市域差异,浙北则分布相对均衡且集聚范围较广;空间集聚态势差异性显著,前者呈“四核集聚,次级中心团状布局”,后者表现出“西东中梯度格局”。3)消费能力、客源市场与通达程度是影响两地民宿分布的重要共性因子,两两因子间的交互作用增强了对民宿空间异质性的解释力。4)浙北民宿受外部客观因素的影响程度较弱,水系环境与景区依赖是两大地区间的区别因子。

关 键 词:民宿  空间格局  水系环境  旅游资源  通达程度  苏南地区  浙北地区  
收稿时间:2021-07-17

Spatial Distribution Characteristics and Influencing Factors for Homestay Inns in Southern Jiangsu and Northern Zhejiang
Shen Shikun,Shi Chunyun.Spatial Distribution Characteristics and Influencing Factors for Homestay Inns in Southern Jiangsu and Northern Zhejiang[J].Tropical Geography,2022,42(1):123-135.
Authors:Shen Shikun  Shi Chunyun
Institution:School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
Abstract:With the acceleration of urbanization and industrialization, the migration of rural labor force has led to the decline of rural industries and communities. As one important way to adjust the rural industrial structure and revitalize rural culture, rural tourism has developed through the rural revitalization strategy and the leisure tourism transformation. In this context, with the use of idle housing resources, homestay inns are meeting consumers' increasing demand for leisure, while also improving facility capability regarding rural tourism, maintaining local landscape, and becoming an important industry for rural tourism. Thus, we took southern Jiangsu and northern Zhejiang, which have strong economic power and close regional cooperation, as examples, and used the location retrieval service in the Baidu Map API to obtain information on homestay inns. Then, we analyzed the spatial distribution characteristics of homestay inns with the help of ArcGIS, and Geodetector was used to further analyze the influencing factors leading to the spatial differentiation of homestay inns. The main conclusions are summarized as follows: (1) Homestay inns in southern Jiangsu and northern Zhejiang are both clustered in terms of spatial distribution, and tend to be distributed in areas with low terrain and water systems around tourism resources and traffic roads. (2) Homestay inns in southern Jiangsu have differences in the degree of agglomeration among cities, showing "a lumpy distribution of four core and secondary centers," while the spatial agglomeration of homestay inns in northern Zhejiang is balanced and has a wide range of contiguous areas, with a gradient distribution in the west, east, and middle. (3) Consumption level, market conditions, and traffic capacity are important common factors affecting the distribution of homestay inns. Interactions between any two factors enhances the explanatory power of the spatial differentiation, which proves that the unique distribution phenomenon of homestay inns is formed under the interaction of multiple influencing factors. (4) Homestay inns in northern Zhejiang are weakly affected by objective factors. In addition, the spatial distribution of homestay inns along a lake or river is a distinguishing characteristic between southern Jiangsu and northern Zhejiang. Homestay inns in southern Jiangsu are usually close to scenic spots, while homestay inns in northern Zhejiang are less dependent on tourism resources. Overall, the study aims to provide a reference for factors suitable for homestay inn operation and those to be improved, and to promote the transformation and rational layout of the homestay industry. The study is of practical significance to the distribution planning of homestay inns in areas with higher economic development, and it also summarizes the distribution characteristics of typical clusters of homestay inns.
Keywords:homestay inns  spatial pattern  water environment  travel resources  traffic accessibility  southern Jiangsu  northern Zhejiang
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