摘要
文章采用核密度估计、空间自相关和全子集回归分析等方法,探析上海市共享住宿(Airbnb)和传统酒店的空间分布特征、分布差异以及影响因素。研究发现:(1)上海市Airbnb和传统酒店在空间上呈现集聚分布态势,符合地理学第一定律,且存在明显的城市中心指向性。Airbnb空间分布具有单核心特征,而传统酒店空间分布具有多核心的特点。(2)Airbnb与五星级酒店存在空间相似性,三星级酒店与经济型连锁酒店分布具有空间一致性。(3)上海市Airbnb在地理空间上对传统酒店具有依赖性,倾向于分布在已有传统酒店住宿业周边,表明传统住宿业空间格局对Airbnb空间分布存在一定影响。(4)上海市Airbnb和传统酒店空间格局的影响因素主要有交通通达性因素和商业环境因素,旅游因素对Airbnb空间分布的影响不显著。文章对城市住宿业空间结构的调整和优化提供了理论基础和科学依据,并为疫情后住宿业尤其是共享住宿业的空间布局提供参考。
This study used Kernel density analysis,spatial autocorrelation and regression analysis to explore the spatial distribution characteristics,spatial differentiation and influencing factors of Airbnb and traditional hotels in Shanghai.The results show that:1)Both the Airbnb and the traditional hotels in Shanghai present obvious spatial agglomeration distribution,which follows the First Law of Geography and have obvious urban-centered characteristic.Airbnb shows the single-core characteristic,while traditional hotel has the multi-core characteristic;2)Airbnb has spatial similarity with five-star hotels,while three-star hotels have spatial consistency with budget chain hotels;3)Airbnb in Shanghai relies on traditional hotels in spatial distribution and tends to be distributed around traditional hotel,indicating that the spatial pattern of the traditional accommodation industry has a certain influence on the spatial distribution of Airbnb.4)The factors influencing the distribution pattern mainly include:traffic access and business environment,but there is difference in the correlation between these factors of Airbnb and traditional hotels,and tourism factors have no significant influence on the spatial distribution of Airbnb.This study provides the theoretical and scientific basis for urban tourism space optimization.Moreover,this research builds up a reference for the spatial layout of the accommodation industry,especially the Shared accommodations after the epidemic.
作者
赵海溶
陆林
ZHAO Hairong;LU Lin(School of Tourism Management,Sun Yat-sen University,Zhuhai 519000.Guangdong,China;School of Geography and Tourism,Anhui ISormal University,Wuhu 241002,Anhui,China)
出处
《经济地理》
CSSCI
CSCD
北大核心
2021年第11期232-240,共9页
Economic Geography
基金
国家自然科学基金重点项目(41930644)。
