民宿价格的空间分异特征及影响因素——以湖北省恩施州为例

民宿区别于传统的酒店,其价格具有独特的空间分布特征和影响因素。以湖北省恩施土家族苗族自治州民宿价格为研究对象,基于克里金法和特征价格模型,使用网络抓取的途家网民宿数据,运用ArcGIS 10.5进行插值分析,总结恩施州民宿价格的空间分布特征,并运用SPSS 24进行多元回归分析,构建特征价格模型,分析影响恩施民宿价格的影响因素。研究表明：（1）恩施民宿价格集聚效应明显,呈现“一大两小”的三个价格高值区;（2）民宿内部环境对民宿价格影响最为显著,民宿消费者更加注重其体验感和融入感;（3）省道和景点对民宿价格影响显著,而国道影响较小;（4）不同经营主体对民宿定价有所不同,其中个人房东经营民宿,其定价水平较高。研究结果为民宿选址、定价、空间布局以及旅游体验服务等方面提供参考。

Spatial variation characteristics and influencing factors of homestay inn price: A case study of Enshi,Hubei

Compared to traditional hotels, the price of homestay inn has unique spatial distribution characteristics and influencing factors. This research, taking the homestay inn price of Enshi Tujia & Miao Autonomous Prefecture in Hubei province as an example, used data crawling to abtain the homestay inn data from tujia.com to make an interpolation analysis with the aid of ArcGIS 10.5. Then it summarized the spatial distribution characteristics of the homestay inn prices in the study area. Meanwhile, Hedonic price model is built by using SPSS to analyze the influencing factors of homestay inn price in Enshi. Research results indicated that: (1) The cluster effect of the homestay inn price is obvious. It forms three relatively high price areas featured by "one high and two low values". (2) Consumers focus on experience and integration when they choose homestay inn. The internal environment of homestay inn has the most striking influence on the homestay inn price. (3) Provincial highways and scenic spots have significant influence on the homestay inn price, while national highways have a small impact. (4) Pricing of homestay inn varies between different operators. The individual landlords who manage homestay inn ask for higher price. The results provide reference for the location, pricing, accommodation space layout and tourism experience services of homestay inn.