Spatial Pattern of Housing Sales Vacancy in Guangzhou’s Urban District, China

¹ 1Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, Guangdong Province, China 2School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, Guangdong Province, China,

² Faculty of Geography, Yunnan Normal University, Kunming 650500, Yunnan Province, China,

³ School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, Guangdong Province, China,

⁴ Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, Guangdong Province, China,

JWA 2021 , 5(6), 47–51; https://doi.org/10.26689/jwa.v5i6.2774

© 2021 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )

Abstract

Housing vacancy can reflect the destocking degree of the real estate market. Based on the data of 57 opened residential quarters (46,622 units) from 2015 to 2018, this paper constructs a calculation formula of the sales vacancy rate and then analyzes the spatial pattern in Guangzhou’s urban district. The results show that there is obvious differentiation in the spatial pattern of housing sales vacancy in Guangzhou’s urban district, showing a higher spatial pattern in the old area and urban district and a lower spatial pattern in the core area. Subdistricts with high vacancy rates are mainly located in the east of the old area, the south and east of the urban district and near Baiyun Mountain in the north.

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