JWAJournal of World Architecture2208-34802208-3499Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jwa.v5i6.2774ArticleSpatial Pattern of Housing Sales Vacancy in Guangzhou’s Urban District, Chinahttps://artdesignp.com/journal/JWA/5/6/10.26689/jwa.v5i6.2774YueXiaoli,WangYang,ZhaoYabo,ZhangHong’ou2021562021-11-29Housing 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.

Pan JH, Dong LL, 2021, Spatial identification of housing vacancy in China. Chinese Geogr Sci, 31(2): 359-375.

Niu X, 2018, Estimating housing vacancy rate in Qingdao city with NPP-VIIRS nighttime light and geographical national conditions monitoring data. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-3:1319-1326.

Li J, Guo M, Lo K, 2019, Estimating Housing Vacancy Rates in rural China using power consumption data. Sustainability, 11(20):5722. https://doi.org/10.3390/su11205722

Pan YT, Zeng W, Guan QF, et al., 2020, Spatiotemporal Dynamics and the Contributing Factors of Residential Vacancy at a Fine Scale: A Perspective from Municipal Water Consumption. Cities, 103: 102745.

Bentley GC, McCutcheon P, Cromley RG, et al., 2016, Race, Class, Unemployment, and Housing Vacancies in Detroit: An Empirical Analysis. Urban Geogr, 37(5):785-800.

Wang Y, Wu KM, Zhang HO, 2021, The Core Influencing Factors of Housing Rent Difference in Guangzhou’s Urban District. Acta Geogr Sinica, 76(8):1924-1938.

Liang SY, 2021, The Robust Influencing Factors of Urban Commercial Housing Vacancy Rate based on EBA Model-Taking Shenzhen as an Example. World Sci Res J, 7(2):378-388.