[1]钟 星,侯国林,闻小玖,等.“商业化”的共享:北京主城区Airbnb房源的时空演变特征与成因[J].南京师大学报(自然科学版),2021,44(04):25-32.[doi:10.3969/j.issn.1001-4616.2021.04.004]
　Zhong Xing,Hou Guolin,Wen Xiaojiu,et al.“Commercialized”Sharing:Spatial-Temporal Evolution Characteristics andContributing Factors of Airbnb Listings in the Main Urban Area of Beijing[J].Journal of Nanjing Normal University(Natural Science Edition),2021,44(04):25-32.[doi:10.3969/j.issn.1001-4616.2021.04.004]
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“商业化”的共享:北京主城区Airbnb房源的时空演变特征与成因()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第44卷
期数:
2021年04期
页码:
25-32
栏目:
·地理学·
出版日期:
2021-12-15

文章信息/Info

Title:
“Commercialized”Sharing:Spatial-Temporal Evolution Characteristics andContributing Factors of Airbnb Listings in the Main Urban Area of Beijing
文章编号:
1001-4616(2021)04-0025-08
作者:
钟 星1; 2; 侯国林1; 2; 闻小玖1; 马小宾1; 2; 李青青1; 2
(1.南京师范大学地理科学学院,江苏 南京 210023)(2.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023)
Author(s):
Zhong Xing1; 2; Hou Guolin1; 2; Wen Xiaojiu1; Ma Xiaobin1; 2; Li Qingqing1; 2
(1.School of Geography,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
关键词:
共享住宿; 商业化; Airbnb房源; 时空演变; 北京主城区
Keywords:
shared accommodation; commercialization; Airbnb listing; spatial-temporal evolution; the main urban area of Beijing
分类号:
K901
DOI:
10.3969/j.issn.1001-4616.2021.04.004
文献标志码:
A
摘要:
共享住宿的繁荣发展吸引了大量商业经营者涌入,商业化的趋势越发显著,“共享”属性悄然变化. 基于2010—2019年北京主城区Airbnb房源数据,按照商业化程度将房源划分为Ⅰ、Ⅱ、Ⅲ类. 采用网格维数模型、DBSCAN聚类算法、地理探测器等方法对各类Airbnb房源的时空分布特征和空间集聚成因进行测算. 结果表明:北京主城区Airbnb商业房源(Ⅱ、Ⅲ类)占比高达80%,商业化程度高于波士顿、里斯本、旧金山等境外城市; 北京主城区Airbnb房源数量逐年增长,具体表现为“阶段性发展、后期稳步扩张”的特点; 北京主城区Airbnb房源具有明显的分形特征,分形结构复杂,呈“多中心集聚、连续性发展、裂变式扩散”的演变特点. 其中,Ⅰ类房源分布最均衡,且各级聚类中心独立发展,Ⅱ类房源的聚类分布“东密西疏”,Ⅲ类房源分形结构发育不足,有“南强北弱”的特点; 发展基础、商业繁华度、社会经济因素、公共服务水平是Airbnb房源集聚的重要影响因素,且房源商业化程度越高,影响其聚集的因素越复杂.
Abstract:
The prosperity and development of the shared accommodation industry has attracted many commercial operators into the market. The trend of commercialization is becoming more and more significant,and the attribution of “sharing”has changed quietly. Based on the data of Airbnb listings in the main urban area of Beijing from 2010 to 2019,the listings resources are divided into I,II,and III according to the degree of commercialization. The spatial and temporal distribution characteristics and spatial agglomeration causes of various Airbnb listings are calculated by using grid dimension model,DBSCAN clustering algorithm and geographic detector. The findings are listed as follows. Firstly,the proportion of II and III Airbnb listings in the main urban area of Beijing is as high as 80%,and the degree of commercialization is higher than that of overseas cities such as Boston,Lisbon and San Francisco.Secondly,the number of Airbnb listings in the main urban area of Beijing is increasing year by year,which is characterized by“phased development and stable expansion in the later period”. Thirdly,Airbnb listings in the main urban area of Beijing have obvious fractal characteristics,and the fractal structure is complex,showing“multi-center agglomeration,continuous development,fission-type diffusion”. Among them,the distribution of I listings are the most balanced,the cluster centers at all levels develop independently,and the cluster distribution of II listings are“more in the east and less in the west”,the fractal structure of III listings are underdeveloped,showing a“strong in the south and weak in the north”characteristic. Finally,development foundation,business prosperity,socio-economic factors,and public service levels are important factors influencing the agglomeration of Airbnb listings. And the higher the degree of commercialization of Airbnb listings is,the more complex the factors affecting their aggregation are.

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备注/Memo

备注/Memo:
收稿日期:2021-03-20.
基金项目:国家自然科学基金项目(41771151)、江苏省研究生创新计划项目(KYCX21_1299).
通讯作者:侯国林,博士,教授,博士生导师,研究方向:旅游地理学. E-mail:guolinhou@126.com
更新日期/Last Update: 2021-12-15