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Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis

文献类型：期刊论文

作者Mao, Ting1,2,3; Liu, Yupeng1,2,3; Chen, Wei-Qiang1,2,3; Li, Nan1,2,3; Dong, Nan4; Shi, Yao5
刊名FRONTIERS IN EARTH SCIENCE
出版日期2022-08-10
卷号10页码:13
关键词material flow analysis geographic information systems spatiotemporal analysis random forest building vintage industrial ecology high-resolution urban grids
DOI10.3389/feart.2022.944865
英文摘要Understanding building metabolism is critical for guiding urban resource management and addressing challenges in urban sustainable development. Key attributes of buildings, including geolocation, footprint, height, and vintage, are crucial to characterizing spatiotemporal patterns of building metabolism. However, these attributes are usually challenging to obtain broadly and automatically, which obscures a comprehensive understanding and accurate assessment of urban metabolism. Moreover, the lack of a finer spatial pattern of these attributes shadows a spatially explicit characterization of material stock and flow in cities. In this study, we took Shenzhen-whose urbanization over the past three decades has been unprecedented in China and even around the world- has been taken as an example to develop a city-level building dataset based on a random-forest model and quantify the spatiotemporal patterns of material metabolism at relatively high spatial resolution (in 500 m x 500 m grids) by combing material flow analysis (MFA) with geographic information system (GIS). The results show that Shenzhen grew from a small town with 281.02 x 10(6) m(3) of buildings in the 1990s to a mega-city with 3585.5 x 10(6) m(3) of buildings in 2018 and expanded both outward and upward from downtown to suburban areas. The urban "weight " (material stock) increased from 92.69 Mt in the 1990s to 1667.8 Mt in 2018 and tended to be saturated, with an average growth rate of 9.5% per year. Spatially, the south-central areas were the largest container of material stocks and generated the most demolition waste. The spatially explicit maps of building three-dimensional (3-D) form and vintage provide detailed information for architectural conservation and could support the decision-making for urban renewal planning. The spatiotemporal patterns of in-use material stocks and potential generation of construction and demolition waste (CDW) provide a benchmark of environmental risk assessment and potential secondary resources to reduce "original " material consumption, which could help alter urban renewal to an environmental-friendly and sustainable trajectory.
WOS关键词MATERIAL STOCK ANALYSIS ; CONSTRUCTION ; WASTE ; TIME
资助项目Strategic Pilot Science and Technology Projects of Chinese Academy of Sciences[XDA23030304] ; Strategic Pilot Science and Technology Projects of Chinese Academy of Sciences[XDA23030303] ; International Partnership Program of the Chinese Academy of Sciences[132C35KYSB20200004] ; International Partnership Program of the Chinese Academy of Sciences[132C35KYSB20200007] ; Fujian Foreign Cooperation Funding[2021I0042] ; National Natural Science Foundation of China[41801222] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2022307]
WOS研究方向Geology
语种英语
WOS记录号WOS:000843922400001
出版者FRONTIERS MEDIA SA
资助机构Strategic Pilot Science and Technology Projects of Chinese Academy of Sciences ; International Partnership Program of the Chinese Academy of Sciences ; Fujian Foreign Cooperation Funding ; National Natural Science Foundation of China ; Youth Innovation Promotion Association of Chinese Academy of Sciences
源URL[http://ir.ipe.ac.cn/handle/122111/54619]  
专题中国科学院过程工程研究所
通讯作者Liu, Yupeng
作者单位1.Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen, Peoples R China
2.Xiamen Key Lab Urban Metab, Xiamen, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Beijing CityDNA Technol Co, East Ring 3, ast Third Ring, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Proc Engn, Natl Engn Res Ctr Green Recycling Strateg Met Reso, CAS Key Lab Green Proc & Engn, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Mao, Ting,Liu, Yupeng,Chen, Wei-Qiang,et al. Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis[J]. FRONTIERS IN EARTH SCIENCE,2022,10:13.
APA Mao, Ting,Liu, Yupeng,Chen, Wei-Qiang,Li, Nan,Dong, Nan,&Shi, Yao.(2022).Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis.FRONTIERS IN EARTH SCIENCE,10,13.
MLA Mao, Ting,et al."Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis".FRONTIERS IN EARTH SCIENCE 10(2022):13.

入库方式： OAI收割

来源：过程工程研究所

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