Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China

• DOI: 10.1016/j.eng.2023.05.015
• Publication Date: 2023-07-05T21:13:52Z
• Authors: Zhou Huang; Yi Bao; Ruichang Mao; Han Wang; Ganmin Yin; Lin Wan; Houji Qi; Qiaoxuan Li; Hongzhao Tang; Qiance Liu; Linna Li; Bailang Yu; Qinghua Guo; Yu Liu; Huadong Guo; Gang Liu
• Keywords: Stock (firearms)

The patterns of material accumulation in buildings and infrastructure accompanied by rapid urbanization offer an important, yet hitherto largely missing stock perspective for facilitating urban system engineering informing resources, waste, climate strategies. However, our existing knowledge on the built environment stocks across particularly within cities is limited, owing to lack sufficient high spatial resolution data. This study leveraged multi-source big geodata, machine learning, bottom-up accounting characterize 50 China at 500 m fine-grained levels. per capita many (240 tonnes average) close that western cities, despite considerable disparities their varying socioeconomic, geomorphology, form characteristics. mainly construction boom building infrastructure-driven economy past decades. China's expansion tends be more "vertical" (with high-rise buildings) than "horizontal" expanded road networks). It trades skylines space, reflects a concentration–dispersion–concentration pathway spatialized development China. These results shed light future developing inform planning, support circular low-carbon transitions cities.