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Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects

文献类型：期刊论文

作者Jiang, Xiji11; Ye, Dan2,9,10; Li, Kaiming8; Feng, Rundong7; Wu, Ying6; Yang, Tianren1,3,4,5
刊名APPLIED GEOGRAPHY
出版日期2024-05-01
卷号166页码:11
关键词Sharing accommodation Built environment Urban planning Multiscale geographic weighted regression Effect scale
ISSN号0143-6228
DOI10.1016/j.apgeog.2024.103262
英文摘要As a new form of tourist accommodation, Airbnb has gained widespread popularity worldwide in Hong Kong. Considering the spatial heterogeneity and multiscale effects, this study employs the Multiscale Geographically Weighted Regression (MGWR) approach to reveal the impact of the built environment on Airbnb distribution in Hong Kong. The main findings are as follows: i) The density of hotels, cultural facilities, and tourist attractions, as well as the supply of residential land and open space (or recreational land), have a significant impact on the spatial distribution of Airbnb and vary according to geographic location; ii) At the local level, open spaces (or recreational land) present positively correlated with Airbnb density in mature tourism areas, yet this correlation reverses in certain localized communities; iii) Factors, such as location, traffic accessibility and caterings, may become less critical for Airbnb's location in highly developed cities like Hong Kong; iv) The density of cultural facilities has a global impact on Airbnb distribution, followed by hotel density, and the effect scale of residential land supply and open spaces (or recreational land) tend to be local. This empirical study can support precise and differentiated planning interventions and policy-making to promote a healthier development of the Airbnb market.
WOS关键词GEOGRAPHICALLY WEIGHTED REGRESSION ; TOURIST CITIES ; ACCOMMODATION ; EXPERIENCE
资助项目Young Elite Scientists Sponsor- ship Program by China Association for Science and Technology[2022ONRC001] ; Young Elite Scientists Sponsor- ship Program by China Association for Science and Technology[HKU-100] ; Young Elite Scientists Sponsor- ship Program by China Association for Science and Technology[000250557] ; Guangdong Philosophy and Social Science Foundation[GD22XGL02]
WOS研究方向Geography
语种英语
WOS记录号WOS:001226626500001
出版者ELSEVIER SCI LTD
资助机构Young Elite Scientists Sponsor- ship Program by China Association for Science and Technology ; Guangdong Philosophy and Social Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/205438]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Ye, Dan; Yang, Tianren
作者单位1.Univ Hong Kong, Dept Urban Planning & Design, Pok Fu Lam, Hong Kong, Peoples R China
2.City Univ Hong Kong, Dept Architecture & Civil Engn, 1239 Siping Rd, Shanghai, Peoples R China
3.Univ Hong Kong, Urban Syst Inst, Hong Kong 999077, Peoples R China
4.HKU Shenzhen Inst Res & Innovat, Shenzhen 518057, Peoples R China
5.Univ Hong Kong, Dept Urban Planning & Design, Hong Kong 999077, Peoples R China
6.Xi An Jiao Tong Univ, Sch Management, Dept Informat Syst & Ecommerce, Xian 710049, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
8.Shanghai Univ, Shanghai Acad Fine Arts, Dept Architecture, Shanghai 200444, Peoples R China
9.City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong 999077, Peoples R China
10.Tongji Univ, Coll Architecture & Urban Planning, 1239 Siping Rd, Shanghai 200092, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Xiji,Ye, Dan,Li, Kaiming,et al. Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects[J]. APPLIED GEOGRAPHY,2024,166:11.
APA Jiang, Xiji,Ye, Dan,Li, Kaiming,Feng, Rundong,Wu, Ying,&Yang, Tianren.(2024).Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects.APPLIED GEOGRAPHY,166,11.
MLA Jiang, Xiji,et al."Built environment and airbnb spatial distribution in Hong Kong: A case study considering the spatial heterogeneity and multiscale effects".APPLIED GEOGRAPHY 166(2024):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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