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Transferability of Material Composition Indicators for Residential Buildings: A Conceptual Approach Based on a German‐Japanese Comparison

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  • Georg Schiller
  • Alessio Miatto
  • Karin Gruhler
  • Regine Ortlepp
  • Clemens Deilmann
  • Hiroki Tanikawa

Abstract

Most anthropogenic material stocks and flows are associated with the building sector. Several recent studies have developed material composition indicators (MCIs) suitable for calculating material stocks and flows of the building sector using bottom‐up approaches, which hold great potential to provide information to support resource efficiency policies. A major limitation is the lack of country‐specific MCIs. This study aims to introduce a concept for a better transferability of MCI across different contexts by proposing requirements for defining MCIs and to discuss options and limits of the transferability. We take existing MCIs for residential buildings in Germany and Japan as case studies and make them comparable by applying harmonization methods. Based on that, similarities and differences are systematically identified and discussed, considering their socioeconomic, cultural, technical, and environmental factors. Our results indicate significant limitations to the transferability of MCIs for detached houses, while bigger apartment complexes show greater homogeneity despite the very different environments in which they are constructed. This indicates that while it is possible to assume foreign MCIs as plausible for large constructions, local coefficients need to be estimated for smaller single‐family homes.

Suggested Citation

  • Georg Schiller & Alessio Miatto & Karin Gruhler & Regine Ortlepp & Clemens Deilmann & Hiroki Tanikawa, 2019. "Transferability of Material Composition Indicators for Residential Buildings: A Conceptual Approach Based on a German‐Japanese Comparison," Journal of Industrial Ecology, Yale University, vol. 23(4), pages 796-807, August.
    • Handle: RePEc:bla:inecol:v:23:y:2019:i:4:p:796-807
    DOI: 10.1111/jiec.12817
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    Cited by:

    1. Benjamin Sprecher & Teun Johannes Verhagen & Marijn Louise Sauer & Michel Baars & John Heintz & Tomer Fishman, 2022. "Material intensity database for the Dutch building stock: Towards Big Data in material stock analysis," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 272-280, February.
    2. Rafaela Tirado & Adélaïde Aublet & Sylvain Laurenceau & Mathieu Thorel & Mathilde Louërat & Guillaume Habert, 2021. "Component-Based Model for Building Material Stock and Waste-Flow Characterization: A Case in the Île-de-France Region," Sustainability, MDPI, vol. 13(23), pages 1-34, November.
    3. Jakob Lederer & Johann Fellner & Andreas Gassner & Karin Gruhler & Georg Schiller, 2021. "Determining the material intensities of buildings selected by random sampling: A case study from Vienna," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 848-863, August.
    4. Georg Schiller & Tamara Bimesmeier & Anh T.V. Pham, 2020. "Method for Quantifying Supply and Demand of Construction Minerals in Urban Regions—A Case Study of Hanoi and Its Hinterland," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
    5. Ruirui Zhang & Jing Guo & Dong Yang & Hiroaki Shirakawa & Feng Shi & Hiroki Tanikawa, 2022. "What matters most to the material intensity coefficient of buildings? Random forest‐based evidence from China," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1809-1823, October.

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