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都市旅游视角下上海市共享住宿空间分布特征及其影响机制
引用本文:朱怡帆,何丹,程庆,杨娜,康译之.都市旅游视角下上海市共享住宿空间分布特征及其影响机制[J].地理科学进展,2021,40(8):1321-1331.
作者姓名:朱怡帆  何丹  程庆  杨娜  康译之
作者单位:1.华东师范大学中国现代城市研究中心,上海 200062
2.华东师范大学城市与区域科学学院,上海 200241
3.华东师范大学地理科学学院,上海 200241
基金项目:国家自然科学基金项目(41471138);上海市大学生创新创业训练计划项目(202010269111S)
摘    要:随着共享经济蓬勃发展,依托互联网平台的共享住宿业态也逐渐成熟,对社会经济发展产生了深刻影响。在都市和乡村共享住宿市场分异背景下,已有研究集中探讨了乡村民宿空间分布特征及影响因素,但对都市地区共享住宿分布特征的探讨有所忽视。都市地区共享住宿与以观光、购物、文化体验等为特征的都市旅游活动关联密切。论文基于途家网的上海共享住宿房源相关数据,利用ArcGIS空间分析工具刻画了上海市共享住宿空间分布特征,并探究了都市旅游背景下共享住宿空间分布的影响机制。主要研究发现如下:① 上海市共享住宿分布呈现“大集聚、小分散”与“双核心”的特征,主要集中在中心城区的旅游商业区和位于郊区的迪士尼乐园2大旅游热点区域,形成了显著的“旅游商业区效应”与“迪士尼效应”;② 共享住宿空间分布与上海市都市旅游活动密切相关,其空间集聚的产生是主体游客的行为决策与客体房源的区位条件之间供需作用的结果。最后,根据共享住宿集聚区差异化的影响机制,提出了针对性的政策建议。

关 键 词:共享住宿  空间分布  影响机制  都市旅游  上海市  
收稿时间:2020-12-21
修稿时间:2021-05-13

Spatial distribution of shared accommodations and its influencing mechanism in Shanghai:From the perspective of urban tourism
ZHU Yifan,HE Dan,CHENG Qing,YANG Na,KANG Yizhi.Spatial distribution of shared accommodations and its influencing mechanism in Shanghai:From the perspective of urban tourism[J].Progress in Geography,2021,40(8):1321-1331.
Authors:ZHU Yifan  HE Dan  CHENG Qing  YANG Na  KANG Yizhi
Institution:1. Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
2. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
3. College of Geographic Sciences, East China Normal University, Shanghai 200241, China
Abstract:With the vigorous development of sharing economy, shared accommodation has gradually matured, which has profound impact on the socioeconomic development in urban China. Despite the dramatic differentiation between the urban and rural shared accommodation markets, existing works focused on the spatial distribution and influencing factors of rural homestays, and shared accommodation research in urban areas is largely ignored. Shared accommodation in urban areas is closely related to urban tourism activities characterized by sightseeing, shopping, and cultural experience. This study obtained the data of the shared accommodations in Shanghai through Tujia (https://www.tujia.com/), and used spatial analysis tools in ArcGIS to depict the spatial distribution and the influencing mechanism of the shared accommodations from the perspective of urban tourism. The main findings are as follows: 1) The spatial distribution of shared accommodations is characterized by great concentration and localized scattering, and the shared accommodations are mainly concentrated in two tourist hotspots: the recreational business district located in the central city and the Disneyland area located in the suburb. 2) The spatial distribution has close relationship with urban tourism in Shanghai, which is the result of the balance between the behavioral decisions of tourists and the location conditions of the shared accommodations. Moreover, various types of shared accommodation agglomerations have different influencing factors, which provide the opportunity for targeted policies for the development of shared accommodation in different urban areas.
Keywords:shared accommodation  spatial distribution  influencing mechanism  urban tourism  Shanghai  
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