摘要
在构建"双循环"新发展格局的时代背景下,共享民宿的科学布局对有效释放旅游市场需求潜力,促进国内大循环的畅通和发展,具有积极的意义。本文以北京市Airbnb为例,综合运用空间分析和地理探测器等方法探究了共享民宿的空间集聚特征及其影响机制。结果表明:(1)Airbnb在空间上呈显著的集聚分布,整体上表现出"大集聚、小分散"的空间形态,形成4个明显的高密度核心区;(2)置信度高于99%的热点区所占比重最大,主要集聚在市中心周围至东四环附近地区,且Airbnb与其他相关地理要素存在不同程度的空间集聚;(3)休闲娱乐设施数量、距市中心距离和公共服务设施数量等因素的解释力较强,双因子交互作用的解释力均强于单因子,休闲娱乐设施数量对因子交互作用的影响最大;(4)在影响机制中,房东作为供给者,其选址行为和主观意愿为基础因素;房客作为需求方,其多样化的需求成为主导因素;政府作为监管者,其宏观调控举措是调节因素;平台作为管理者,其战略决策和市场推广是引导因素。不同利益主体之间的耦合交互与权衡制约,各类要素在不同发展阶段的综合作用,最终形成了影响共享民宿空间集聚特征的合力。
China has been accelerating the construction of a“dual circulation”development pattern,which takes the domestic market as the mainstay.The rapid development of peer-topeer(P2 P)accommodations has drawn great academic attention,as it could improve the utilization rate of idle housing resources and expand the domestic tourism market demand.However,the geographic studies of P2 P accommodation in China are relatively scant.Accordingly,this study sought to identify spatial clustering characteristics and explore influencing mechanism of P2 P accommodations from a geographic perspective.Airbnb in Beijing was selected as the case study.Exploratory spatial analysis and Geodetector were employed.The findings suggested that:(1)Airbnb listings were gathered in the center of the city,and sparsely distributed in the peripheral areas.(2)Hot spots were clustered in and around the fourth ring road,and there were different degrees of spatial clustering between Airbnb and other related geographical elements.(3)The number of recreational facilitir,distance to the city center,and the number of public service facilities had stronger explanatory power.The explanation power of double-factor interactions were stronger than which of single factors.(4)The clustering characteristics of Airbnb in Beijing were the result of the coupling and interaction among various elements,namely the hosts,guests,government,and platform,and these elements affected in different forms and to different degrees.Theoretically,this paper deepen the research on the tourism accommodation industry in China.Practically,empirical evidence from this study has great implications for the layout of P2 P accommodations and urban governance in the future.
作者
贾文通
黄震方
洪学婷
郭叙淇
JIA Wentong;HUANG Zhenfang;HONG Xueting;GUO Xuqi(School of Geographical Science,Nanjing Normal University,Nanjing 210023,China;School of Geography and Tourism,Anhui Normal University,Wuhu 241002,China)
出处
《中国生态旅游》
2021年第5期751-766,共16页
Journal of Chinese Ecotourism
基金
国家自然科学基金项目(42071175,42101218)
关键词
共享民宿
空间集聚特征
影响机制
Airbnb
北京市
peer-to-peer accommodation
spatial clustering characteristics
influencing mechanism
Airbnb
Beijing
