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This study presents a harmonized database of building Material Intensity (MI) data. It offers a benchmark for environmental assessments and socio-economic analysis, facilitating future research and data contributions.

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Area of Science:

  • Environmental Science
  • Building Science
  • Socio-economics

Background:

  • Material Intensity (MI) data for buildings are crucial for environmental assessments and socio-economic analyses.
  • Existing MI data are often fragmented, reported ad-hoc, and lack cross-study comparisons.
  • A harmonized and accessible database is needed to standardize MI data and facilitate research.

Purpose of the Study:

  • To compile and harmonize Material Intensity (MI) data from diverse studies into a centralized database.
  • To provide a comprehensive dataset for analyzing material use in buildings.
  • To establish a benchmark for typical MI values and identify outliers.

Main Methods:

  • Extracted and converted over 300 material intensity data points from 33 scientific studies.
  • Standardized MI data to kilograms per gross floor area for 32 distinct materials.
  • Augmented primary data with secondary attributes including regional climate and socioeconomic indicators.

Main Results:

  • Developed a comprehensive and harmonized database of building Material Intensity (MI) data.
  • The database includes over 300 data points for 32 materials, with regional context.
  • Data are hosted on GitHub with accessible formats and clear contribution guidelines.

Conclusions:

  • The created database serves as a valuable resource for scientists across disciplines.
  • It enables consistent data analysis, benchmarking, and identification of material intensity outliers in buildings.
  • Facilitates future data collection and integration by the research community.