Journal
JOURNAL OF INDUSTRIAL ECOLOGY
Volume 26, Issue 3, Pages 1051-1060Publisher
WILEY
DOI: 10.1111/jiec.13252
Keywords
geographic information systems (GIS); high-resolution urban grids (HUGs); industrial ecology; material flow analysis; urbanization
Categories
Funding
- Strategic Pilot Science and Technology Projects of Chinese Academy of Sciences [XDA23030304]
- National Natural Science Foundation of China [41801222]
- National Key Research andDevelopmentProject of China [2020YFC1908901]
- Youth Innovation Promotion Association and International Partnership Programof Chinese Academy of Sciences [132C35KYSB20200004, 132C35KYSB20200007]
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Rapid urbanization leads to increased demand, use, and waste of construction materials. Existing frameworks tend to underestimate material flows due to insufficient descriptions of key processes. This study identifies important processes and integrates them into an improved framework to capture all material flows accurately.
Rapid urbanization generates substantial demand, use, and demolition waste of construction materials. However, the existing top-down or bottom-up frameworks combining material flow analysis (MFA) and geographic information system (GIS) tend to underestimate both input and output of construction material flows due to insufficient descriptions of key processes in building construction and demolition. To address this limitation, this study identifies four important and complementary processes-construction, demolition, replacement, and maintenance, and integrates them into an improved framework to capture all material flows. We take Xiamen, a rapidly urbanizing city, as a case study to verify this framework. The results show that similar to 40% of material inputs and similar to 65% of outputs are underestimated by previous frameworks because they fail to capture material inputs in building maintenance and outputs in construction. These findings indicate a better estimation of such key flows in the modeling framework helps to accurately characterize building material metabolism. Based on systematic counting of material stocks and flows, the improved framework can help design effective policies for urban resource management by explicitly recognizing the spatiotemporal patterns and processes of material metabolism.
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