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A comparison of the approaches for gentrification identification

文献类型：期刊论文

作者Liu, Cheng3,4; Deng, Yu5; Song, Weixuan6; Wu, Qiyan1,2; Gong, Jian3
刊名CITIES
出版日期2019-12-01
卷号95页码:14
关键词Gentrification identification Threshold K-means clustering Housing reinvestment Displacement
ISSN号0264-2751
DOI10.1016/j.cities.2019.102482
通讯作者Deng, Yu(dengy@igsnrr.ac.cn)
英文摘要Gentrification can be identified via a threshold-based method and/or a machine-learning approach. The former, which is simple and theoretically sound, is complementary to the latter, which is objective. In view of a lack of research on exploiting the strengths of both approaches, this study compares a threshold-based method to K-means clustering. Using the city of Auckland as a case study, we find that both approaches are in accord with each other. The maximum degrees of similarity (falling in the range 0-1) between the identification results of both approaches are 0.80 and 0.56 for binary and three-level identification, respectively. By comparison, it is evident that the threshold-based set of identification rules delineates gentrification more accurately. For example, a census tract with a confluence of housing reinvestment and at least one aspect of social upgrading is more likely to be identified as gentrified. Moreover, gentrification in Auckland assumes various appearances. Retaining a simple and universal conceptual and analytical framework for gentrification helps us focus on the essentials of this urban phenomenon: reinvestment and displacement.
WOS关键词CRITICAL PERSPECTIVES ; RESIDENTIAL-MOBILITY ; URBAN NEIGHBORHOODS ; HONG-KONG ; NEW-YORK ; DIVERSITY ; CHICAGO ; DISPLACEMENT ; GEOGRAPHY ; REDEVELOPMENT
资助项目National Social Science Fund of China[14BJY057] ; National Natural Science Foundation of China[41801166] ; National Natural Science Foundation of China[41771184] ; National Natural Science Foundation of China[41671155] ; National Natural Science Foundation of China[41271176] ; National Natural Science Foundation of China[41701629] ; National Natural Science Foundation of China[41871172] ; National Natural Science Foundation of China[41601164] ; Programme of Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2017RC202] ; Cradle Project of China University of Geosciences (Wuhan)[CUGL170408] ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan)[CUGW170813] ; Youth Innovation Promotion Association CAS[2019055]
WOS研究方向Urban Studies
语种英语
WOS记录号WOS:000498748100033
出版者ELSEVIER SCI LTD
资助机构National Social Science Fund of China ; National Natural Science Foundation of China ; Programme of Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; Cradle Project of China University of Geosciences (Wuhan) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; Youth Innovation Promotion Association CAS
源URL[http://ir.igsnrr.ac.cn/handle/311030/130654]  
专题中国科学院地理科学与资源研究所
通讯作者Deng, Yu
作者单位1.Simon Fraser Univ, Urban Studies Program, Suite 2100,515 W Hastings St, Vancouver, BC V6B 5K3, Canada
2.Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian, Shaanxi, Peoples R China
3.China Univ Geosci, Sch Publ Adm, 388 Lumo Rd, Wuhan, Hubei, Peoples R China
4.Univ Auckland, Sch Environm, Private Bag 920190, Auckland, New Zealand
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A,Datun Rd, Beijing 100101, Peoples R China
6.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Cheng,Deng, Yu,Song, Weixuan,et al. A comparison of the approaches for gentrification identification[J]. CITIES,2019,95:14.
APA Liu, Cheng,Deng, Yu,Song, Weixuan,Wu, Qiyan,&Gong, Jian.(2019).A comparison of the approaches for gentrification identification.CITIES,95,14.
MLA Liu, Cheng,et al."A comparison of the approaches for gentrification identification".CITIES 95(2019):14.

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来源：地理科学与资源研究所

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