Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China
文献类型：期刊论文
| 作者 | Huang, Zhou9,10; Bao, Yi9,10; Mao, Ruichang7,8; Wang, Han10; Yin, Ganmin10; Wan, Lin6; Qi, Houji10; Li, Qiaoxuan5; Tang, Hongzhao4; Liu, Qiance3,8 |
| 刊名 | ENGINEERING
 |
| 出版日期 | 2024-03-01 |
| 卷号 | 34页码:143-153 |
| 关键词 | Urban system engineering Built environment stock Spatial pattern Urban sustainability Big geodata |
| ISSN号 | 2095-8099 |
| DOI | 10.1016/j.eng.2023.05.015 |
| 通讯作者 | Huang, Zhou(huangzhou@pku.edu.cn) ; Guo, Huadong(hdguo@radi.ac.cn) ; Liu, Gang(gangliu@pku.edu.cn) |
| 英文摘要 | 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 and informing urban resources, waste, and climate strategies. However, our existing knowledge on the patterns of built environment stocks across and particularly within cities is limited, largely owing to the lack of sufficient high spatial resolution data. This study leveraged multi-source big geodata, machine learning, and bottom-up stock accounting to characterize the built environment stocks of 50 cities in China at 500 m fine-grained levels. The per capita built environment stock of many cities (261 tonnes per capita on average) is close to that in western cities, despite considerable disparities across cities owing to their varying socioeconomic, geomorphology, and urban form characteristics. This is mainly owing to the construction boom and the building and infrastructure-driven economy of China in the past decades. China's urban expansion tends to be more "vertical" (with high-rise buildings) than "horizontal" (with expanded road networks). It trades skylines for space, and reflects a concentration- dispersion-concentration pathway for spatialized built environment stocks development within cities in China. These results shed light on future urbanization in developing cities, inform spatial planning, and support circular and low-carbon transitions in cities. (c) 2023 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| WOS关键词 | GREENHOUSE-GAS EMISSIONS ; ECONOMIC-GROWTH ; DRIVING FORCES ; ENERGY DEMAND ; CO2 EMISSIONS ; URBAN ; CONSTRUCTION ; URBANIZATION ; IMPACT ; IRON |
| 资助项目 | National Natural Science Foundation of China[71991484] ; National Natural Science Foundation of China[42271471] ; National Natural Science Foundation of China[72088101] ; National Natural Science Foundation of China[41830645] ; Danish Agency for Higher Education and Science (International Network Project)[0192-00056B] ; Fundamental Research Funds for the Central Universities (Peking University) |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001247537900001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Danish Agency for Higher Education and Science (International Network Project) ; Fundamental Research Funds for the Central Universities (Peking University) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206630]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Zhou; Guo, Huadong; Liu, Gang |
| 作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China 2.Calif State Univ, Dept Geog, Long Beach, CA 90840 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Minist Nat Resources, Land Satellite Remote Sensing Applicat Ctr, Beijing 100048, Peoples R China 5.East China Normal Univ, Sch Geog Sci, Shanghai 200062, Peoples R China 6.China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China 7.Tsinghua Univ, Sch Civil Engn, Dept Construct Management, Beijing 100084, Peoples R China 8.Univ Southern Denmark, SDU Life Cycle Engn, Dept Green Technol, DK-5230 Odense, Denmark 9.Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China 10.Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Zhou,Bao, Yi,Mao, Ruichang,et al. Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China[J]. ENGINEERING,2024,34:143-153. |
| APA | Huang, Zhou.,Bao, Yi.,Mao, Ruichang.,Wang, Han.,Yin, Ganmin.,...&Liu, Gang.(2024).Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China.ENGINEERING,34,143-153. |
| MLA | Huang, Zhou,et al."Big Geodata Reveals Spatial Patterns of Built Environment Stocks Across and Within Cities in China".ENGINEERING 34(2024):143-153. |
入库方式： OAI收割
来源：地理科学与资源研究所
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