基于兴趣点(POI)挖掘的重庆主城区农家乐空间分布特征

doi:10.19741/j.issn.1673-4831.2019.0209

摘要/Abstract

摘要： 发展乡村旅游是实现乡村振兴战略的重要抓手之一。为了解重庆主城区农家乐的空间分布特征，以期对其进行布局优化，以从百度地图上抓取的564个农家乐兴趣点（POI）为研究对象，运用GIS空间分析技术和数理统计方法，从分布类型、均衡性和空间格局角度定量研究重庆主城区农家乐空间分布特征。结果表明，重庆主城区农家乐分布类型为凝聚型，地区分布不均衡，空间格局为"多中心集群分布"型，存在"U"型农家乐核心密度圈，基本形成集中连片的带状空间格局，以北碚区和南岸区为高密度聚集中心点。农家乐空间分布主要影响因素为地形地势、植被覆盖、交通条件、旅游资源、客源市场和经济密度。

关键词: 农家乐, 乡村旅游, 空间分布, 重庆主城区, 乡村振兴战略

Abstract: Developing rural tourism is one of the most important grips for realizing the rural revitalization strategy. In order to understand the spatial distribution characteristics of agritainment resorts in central Chongqing, and to optimize its spatial development pattern, 564 agritainment points of interest (POI) captured from Baidu map were taken as the research objects. The the distribution characteristics of agritainment resorts in central Chongqing were analysed from distribution type, equilibrium of spatial distribution and spatial pattern, by means of GIS spatial analysis technology and mathematical statistics analysis methods. The results show that the distribution type of agritainment resorts in central Chongqing is cohesive; the regional distribution is not balanced and is uneven; the spatial pattern is "multi-center cluster distribution" type, and there forms a "U-shaped" agritainment core density circle, which basically forms a strip-like spatial pattern with concentrated and contiguous pieces. The Beibei and Nanan Districts are high-density gathering centers. The main influencing factors of its spatial distribution are topography, vegetation cover, traffic conditions, tourism resources, tourist market and economic density.

Key words: agritainment resort, rural tourism, spatial distribution, central Chongqing, rural revitalization strategy

中图分类号:

X24
F592.7

李嘉欣, 谢德体, 王三, 阎建忠. 基于兴趣点(POI)挖掘的重庆主城区农家乐空间分布特征[J]. 生态与农村环境学报, 2020, 36(3): 300-307.

LI Jia-xin, XIE De-ti, WANG San, YAN Jian-zhong. Spatial Distribution of Rural Tourism Destination in Central Chongqing Based on Point of Interest (POI) Mining[J]. Journal of Ecology and Rural Environment, 2020, 36(3): 300-307.

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