Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data
Joint Authors
Tan, Zhiru
Wei, Donglan
Yin, Zixu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In recent years, the phenomenon of housing vacancy rate (HVR) has attracted considerable attention, especially concerning unjustified expansions of Chinese cities.
The aforementioned trend is disadvantageous in that it will ultimately lead to tremendous wastage of valuable land that could otherwise be more productively utilized.
Consequently, the methods for accurately determining the HVR are of great importance.
Based on nighttime light data from the Luojia 1-01 nighttime light imagery provided by Wuhan University in June 2018 and the building data obtained from the Resources and Environmental Sciences Data Center, we estimated the HVRs of 49 cities in China by determining the building areas and considering the floor height.
The results revealed that (1) the lowest (15%) and highest (24.3%) HVRs occur in Shenzhen and Nanning, respectively.
(2) The urban HVR correlates positively with the three production structures (0.3143) but is significantly negatively correlated with population (0.3841), GDP (0.6139), and urban average housing prices (0.5083).
(3) The first-tier, new first-tier, and second-tier cities showed the lowest (16.9%), relatively concentrated (20.5%), and highest (21.3%) average vacancy rates, respectively.
(4) The vacancy rate is relatively low in the eastern coastal areas, whereas high in the northeast and western inland areas.
The proposed method can help urban planners by identifying vacant areas and providing building information.
American Psychological Association (APA)
Tan, Zhiru& Wei, Donglan& Yin, Zixu. 2020. Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142245
Modern Language Association (MLA)
Tan, Zhiru…[et al.]. Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1142245
American Medical Association (AMA)
Tan, Zhiru& Wei, Donglan& Yin, Zixu. Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142245
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142245