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BUD-MI: a template that optimizes material intensity data collection and utilization
Maud Lanau1, Charles Gillott2,3, Will Mihkelson2,3
1Division of Sustainable Built Environments, Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Summary
This study introduces BUD-MI, a template for collecting construction material intensity data. It improves data quality and granularity for circular economy research and practice.
Area of Science:
- Environmental Science
- Materials Science
- Urban Planning
Background:
- Spatial material stock studies are crucial for understanding resource flows and promoting a circular economy.
- Current methods face challenges in material intensity data development, leading to coarse study results.
- Accurate material intensity data is vital for effective socioeconomic metabolism analysis.
Purpose of the Study:
- To introduce BUD-MI (Bottom-Up Data: Material Intensity), a novel data collection template.
- To streamline material intensity data collection for building sampling and support cumulative research.
- To enhance the practical utility of material intensity data for the construction industry.
Main Methods:
- Development involved identifying material intensity challenges and eliciting requirements.
- Existing domain work was mapped, and gaps were addressed to create the BUD-MI template.
- The template was structured with data input tabs, mini-tools, and result generation tabs.
Main Results:
- A case study in Sheffield, UK, demonstrated BUD-MI's ability to generate disaggregated material intensity results.
- The template facilitates bespoke data collection, enabling detailed analysis across building elements.
- BUD-MI ensures data quality, granularity, comparability, transferability, and availability.
Conclusions:
- BUD-MI enhances socioeconomic metabolism and circular economy research by improving material intensity data collection.
- The template supports researchers, students, and practitioners in developing standardized and usable material data.
- BUD-MI advances the field by ensuring robust, comparable, and transferable material stock data for sustainable practices.
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