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 processesconstruction, 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 ∼40% of material inputs and ∼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.
K E Y W O R D Sgeographic information systems (GIS), high-resolution urban grids (HUGs), industrial ecology, material flow analysis, urbanization
INTRODUCTIONCities are continually resulting in the exchange of materials, water, and energy between natural and artificial environments (Chini & Stillwell, 2019;Haberl et al., 2019). When the material inputs of a city exceed its outputs, an imbalance occurs and contributes to the city's mass gain and vice versa (Tanikawa & Hashimoto, 2009;Tanikawa et al., 2015). Many studies have been conducted to quantify urban material inputs and outputs dynamically to understand how a city's mass has changed over time (