Assessment and driving factor of housing vacancies in Shandong Peninsula urban agglomeration based on multi-source remote sensing data
Dong Yang,
Bing Xiao,
Xinjie Lu,
Xuexiu Jia,
Xin Li,
Feng Han,
Lingwen Sun,
Feng Shi,
Kronnaphat Khumvongsa,
Jinping Li,
Xianyin Duan
Affiliations
Dong Yang
Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China; Research Center of SCO Countries, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Bing Xiao
Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Xinjie Lu
Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Xuexiu Jia
Sustainable Process Integration Laboratory-SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology-VUT Brno, Technická 2896/2, 616 69, Brno, Czech Republic
Xin Li
Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Feng Han
Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Lingwen Sun
Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Feng Shi
School of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China; Institute of Carbon Circulation Advanced Technology Industry, Zhengzhou, 450001, China; Corresponding author. School of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
Kronnaphat Khumvongsa
Graduate School of Environmental Studies, Nagoya University, D2-1(510), Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan
Jinping Li
Research Center of SCO Countries, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
Xianyin Duan
Xintai Economic Development Zone Management Committee, Taian, 271000, China
As the urbanization rate in the world has increased rapidly, the housing vacancy problem has become serious and attracting more attention. Calculating and analyzing vacant housing can help reduce the wasteful use of resources. This paper measures the housing vacancy rate and housing vacancy stock in the Shandong Peninsula urban agglomeration using night-time lighting and land use data. The results show that the average housing vacancy rate in the Shandong Peninsula urban agglomeration rose rapidly from 14.68% in 2000 to 29.71% in 2015 before declining slowly to 29.49% in 2020. Since urban population growth is lower than the housing construction rate, the average annual growth of housing vacancy stock between 2000 and 2020 exceeds 3 million square meters in megacities and is around 1–2 million square meters in large and medium-sized cities. The vacant housing has caused considerable waste of housing resources. The driving factors of the housing vacancy were further analyzed using the LMDI decomposition method. Results indicate that the economic development level is the most significant driving factor of the vacant housing stock. In addition, the value effect of unit floor areas is the major driving factor inhibiting the growth of vacant housing stock, while the decline of unit floor area value is conducive to the reduction of this stock.
