A comparison of the approaches for gentrification identification

doi:10.1016/j.cities.2019.102482

	A comparison of the approaches for gentrification identification
	Liu, Cheng 3,4; Deng, Yu 5; Song, Weixuan 6; Wu, Qiyan 1,2; Gong, Jian 3
刊名	CITIES
	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
DOI	10.1016/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.
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关键词	CRITICAL PERSPECTIVES ; RESIDENTIAL-MOBILITY ; URBAN NEIGHBORHOODS ; HONG-KONG ; NEW-YORK ; DIVERSITY ; CHICAGO ; DISPLACEMENT ; GEOGRAPHY ; REDEVELOPMENT
WOS研究方向	Urban Studies
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000498748100033
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
内容类型	期刊论文
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.Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian, Shaanxi, Peoples R China 2.Simon Fraser Univ, Urban Studies Program, Suite 2100,515 W Hastings St, Vancouver, BC V6B 5K3, Canada 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.