地理研究

地理研究 ›› 2019, Vol. 38 ›› Issue (4): 950-960.doi: 10.11821/dlyj020180308

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长三角地区民宿的空间分布及影响因素

龙飞1,2(), 刘家明1,2(), 朱鹤1,2, 李涛1,2   

  1. 1. 中国科学院地理科学与资源研究所,中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
    2. 中国科学院大学资源与环境学院,北京100049
  • 收稿日期:2018-04-03 修回日期:2018-09-06 出版日期:2019-04-20 发布日期:2019-04-20
  • 作者简介:

    作者简介：龙飞（1983-）,女,内蒙古赤峰人,博士研究生,研究方向为乡村旅游、旅游规划。E-mail: jessielongfei@163.com

  • 基金资助:
    国家旅游局万名旅游英才计划研究型英才培养项目（WMYC20171039）,国家自然科学基金项目（41801139）

Spatial distribution of homestay and its influencing factors in the Yangtze River Delta of China

Fei LONG1,2(), Jiaming LIU1,2(), He ZHU1,2, Tao LI1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2018-04-03 Revised:2018-09-06 Online:2019-04-20 Published:2019-04-20

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摘要：

近年来,民宿作为旅游业发展的新兴模式,日益受到关注,并呈现蓬勃发展状态。以民宿业发展最为成熟的长三角地区为研究对象,基于去哪儿网相关民宿数据,采用空间最邻近分析、密度分析等空间分析方法,研究民宿的空间分布格局与特征,并基于逐步回归分析,探讨影响民宿分布的因素,得出以下结论：① 长三角地区民宿呈现高度集聚的状态,整体上表现为多核心分布,并形成一、二、三级组团,密度由核心向外围递减。② 民宿集聚分布在经济较为发达的城市和核心景区周边,具有明显的中心性。③ 基于对经济基本状况、交通状况、人口条件、居民消费能力、旅游市场状况、旅游资源与环境条件等方面共15个影响因素分析,发现单位面积旅游收入、A级景区数量、人口密度、地区国内生产总值四个指标对民宿密度有显著正向影响,其中,影响力单位面积旅游收入>A级景区数量>人口密度>地区国内生产总值。

关键词: 长三角地区, 民宿, 空间分布, 集聚特征, 影响因素

Abstract:

The rapid development of urban economy has accelerated the process of population migration from rural areas to cities and towns. Rural hollowing becomes a common phenomenon in the decaying traditional villages, which causes a series of problems, such as the idle and abandoned rural courtyards, the increasing empty nesters and left-behind women and children, the destroyed traditional buildings, the neglected and forgotten lack of local culture and so on. It is the urban middle class that has gradually become the main body of tourism consumption market, and advocate the necessity and importance of protecting traditional local culture and inheriting rural buildings. As essential tourism resource and reception facilities, homestay has become a new growth point of rural leisure tourism and a major breakthrough in rural activation and regional tourism development.

In recent years, China's homestay industry has developed rapidly, and it has increasingly became an advanced development mode of tourism accommodation. Taking homestay in Yangtze River Delta as an example, which is the most developed agglomeration in the region, this paper based on the network crawler data of homestay and inn channel on 'qunar.com', uses nearest neighbor analysis and kernel density estimation to study its spatial distribution. And through stepwise regression analysis, it finds out: (1) homestay is characterized by high agglomeration in space, showing the multi-core cluster distribution, and the density of the homestay decreases from center to outer areas; (2) homestay is especially located around the periphery of developed cities, forming density centers; (3) taking 15 factors into account, such as economic environment, traffic condition, population condition, spending capacity, tourism market condition, tourism resources condition and environmental condition, we conclude that tourism revenue per unit area, number of A-level scenic spots, population density and regional GDP have significant positive impact on the density of homestay. In terms of influence, the tourism revenue per unit area > number of A-level scenic spots > population density > regional GDP.

Key words: Yangtze River Delta, homestay, space distribution, agglomeration, influencing factor