Monitoring House Vacancy Dynamics in The Pearl River Delta Region: A Method Based on NPP-VIIRS Night-Time Light Remote Sensing Images

Author:

Liu Xuan1ORCID,Li Zehao2,Fu Xinyi1,Yin Zhengtong3,Liu Mingzhe4ORCID,Yin Lirong5,Zheng Wenfeng6ORCID

Affiliation:

1. School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, China

2. School of Information Engineering, China University of Geosciences, Beijing 100083, China

3. College of Resource and Environment Engineering, Guizhou University, Guiyang 550025, China

4. School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou 325000, China

5. Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA

6. School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China

Abstract

Urban spatial interaction integrates cities into closely related urban network systems in continuous urban regions. However, it also brings differentiation and has mutual negative impacts between each location. Unbalanced development is one such impacts and needs closely monitoring. The housing vacancy rate (HVR) in a continuous urban region is an important index in the unbalanced development of a continuous urban region since it indicates the uneven distribution of population and investment across cities. This study uses NPP-VIIRS NTL data and Landsat 8 OLT images to estimate HVRs at the district level. Additionally, this study tracks the spatial–temporal dynamics of HVR distributions in the Pearl River Delta (PRD) region. The comparison between the sampled HVRs and estimated HVRs verifies the effectiveness of the estimated HVRs in identifying dynamic changes in HVRs. This study has found that although overall decreasing HVRs are observed in the PRD, speculations and irrational real estate investment exist in cities on the west bank of the Pearl River Estuary and in some isolated districts in other cities. Furthermore, increasing proportions of vacant pixels in most cities indicate rising real estate development, requiring further supervision. This study suggests that more precise data and advanced techniques could help to improve the accuracy of the estimation techniques.

Funder

UESTC Funds for Important Social Science Research

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

Reference36 articles.

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