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原文传递 Modified Data-Driven Framework for Housing Market Segmentation

题名：	Modified Data-Driven Framework for Housing Market Segmentation
其他题名：	Adair,A.S.,J.N.Berry,and W.S.McGreal.1996."Hedonic modelling,housing submarkets and residential valuation."J.Property Res.13(1):67-83.https://doi.org/10.1080/095999196368899.
正文语种：	英文
作者：	Chao Wu
关键词：	Residential factor;Principal component analysis (PCA);Geographically weighted principal component analysis (GWPCA);Spatial clustering;Submarket
摘要：	Housing market segmentation is significant at both the conceptual and empirical levels because it reflects the spatial heterogeneity of housing prices, improves the predictive accuracy of housing prices, and indicates dynamic changes in housing markets. The existing literature offers a popular framework, called the data-driven method, to delineate submarkets based on principal component analysis (PCA) and cluster analysis; however, the traditional framework does not consider spatial heterogeneity and has difficulty balancing the spatial relationships (i.e., distance and topological relationships) and attribute similarities. To address these limitations, this paper proposes a modified data-driven framework for delineating housing submarkets by integrating geographically weighted principal component analysis (GWPCA), a spatial heterogeneity test, a density-based spatial clustering (DBSC) algorithm, and hedonic validation. The modified framework is applied to housing-market segmentation in Shenzhen, China. The results indicate that the modified framework exhibits the best performance in submarket segmentation in Shenzhen. The framework has important implications and high potential for identifying housing submarkets statistically, and it can be generalized and applied to housing markets in other cities. In addition, the visualisation results can be used by appraisers for property valuation and by city planners for facility management and social-equality improvement and balance.
出版年：	2018
论文唯一标识：	P-84Y2018V144N04009
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/(ASCE)UP.1943-5444.0000473
期刊名称：	Journal of Urban Planning and Development
拼音刊名(出版物代码)：	P-84
卷：	144
期：	04
页码：	91-105