Estimating Land Development Time Lags in China Using DMSP/OLS Nighttime Light Image

被引:7
|
作者
Zhang, Li [1 ,2 ]
Qu, Ge [1 ,3 ]
Wang, Wen [1 ]
机构
[1] Renmin Univ China, Sch Environm & Nat Resources, Ctr Spatial Informat, Beijing 100872, Peoples R China
[2] Kings Coll London, Dept Geog, London WC2R 2LS, England
[3] China Land Surveying & Planning Inst, Beijing 100035, Peoples R China
关键词
DMSP/OLS nighttime light image; real estate market; time lags; land development; SATELLITE DATA; OLS; POPULATION; DYNAMICS; SERIES; MARKET;
D O I
10.3390/rs70100882
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
DMSP/OLS NTL image could offer an economically efficient and reliable solution to estimate the time lag of real estate development.The Chinese real estate industry has experienced rapid growth since China's economic reform. Along with a booming industry, a third of purchased lands were left undeveloped in the last decade. Knowledge of real estate development time lags between land being purchased and property being occupied can enable policymakers to produce more effective policies and regulations to guide the real estate industry and sustain economic development and social welfare. This paper presents an innovative method to estimate provincial land development time lags in China using DMSP/OLS NTL imagery and real estate statistical data. The results showed that real estate development time lag was common in China during 2000-2010. More than half of the study sites showed development time lags of three years or longer. An Increment of Developed Pixels (IDP) index was established to outline yearly land development completions in China between 2000 and 2010. A Comprehensive Real Estate Price Index (CREPI) was created to explore the causes of the time lags. A strong and positive correlation was found between the real estate development time lags and CREPI values (with r = 0.619, n = 31, p < 0.0005). The results indicated that the land development time lag during the study period was positively correlated to the activity of the local real estate market, the price trend of land and housing properties, and the local economic situation. The results also proved that with the support of statistical data the
引用
收藏
页码:882 / 904
页数:23
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