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Title Uncovering The Circular Potential: Estimating Material Flows For Building Systems Components Reuse In The Swiss Built Environment
ID_Doc 27125
Authors Xiong, SY; Escamilla, EZ; Habert, G
Title Uncovering The Circular Potential: Estimating Material Flows For Building Systems Components Reuse In The Swiss Built Environment
Year 2024
Published
DOI
Abstract The construction industry plays a critical role in global resource consumption and greenhouse gas emissions, highlighting the urgent need for sustainable development practices. However, a key challenge in this area is the lack of effective models for resource use that align with circular economy principles. This gap hinders efforts to achieve sustainable resource management, especially in the face of increasing urbanization and material demand. To address this issue, our study presents a Parametric Predictive Model (PPM) to improve resource efficiency, specifically targeting the often-underestimated building systems. The model takes a bottom-up approach, utilizing local databases to accurately assess material stocks of building systems, thereby improving the granularity of data on material composition. Using advanced machine learning algorithms, the model processes both categorical and non-categorical data. The output, an enriched comprehensive database can support more informed decision making in sustainable resource recovery and allocation, but also contribute to the broader goals of reducing waste and promoting resource efficiency in the built environment.
Author Keywords Building Systems; Building Stock Modelling; Predictive Model; Circular Economy; Parametric Model
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH)
EID WOS:001248011900054
WoS Category Architecture; Computer Science, Interdisciplinary Applications
Research Area Architecture; Computer Science
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