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  A global spatialized approach to estimate residential building floor area and material stocks

Foong, A., Svintsov, S., Seydewitz, T., Holsten, A., Reck, B. K. (2025): A global spatialized approach to estimate residential building floor area and material stocks. - Resources, Conservation and Recycling, 221, 108398.
https://doi.org/10.1016/j.resconrec.2025.108398

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 Urheber:
Foong, Adrian1, Autor
Svintsov, Stepan2, Autor              
Seydewitz, Tobias2, Autor              
Holsten, Anne2, Autor              
Reck, Barbara K.1, Autor
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Zusammenfassung: A better understanding of the material stock in the built environment is needed to reduce its climate and environmental impacts while also improving its circularity. We introduce a comprehensive, globally consistent method to estimate residential floor area and material stock at a fine-scale spatial resolution, using the latest publicly available datasets on key building parameters and material intensity. Applying our validation analysis for a selected number of countries and subnational regions, we found that our floor area estimations underestimated official statistics by 30–40 %. Comparing our material stocks estimations with various definitions of building typologies and results from other studies, we found some degree of variation. These results highlight the need for more strengthened and concerted efforts in filling data and research gaps in various world regions. Overall, the presented approach allows for more rapid and regionally specific assessments of the material stocks and related impacts to inform policy directions.

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Sprache(n): eng - Englisch
 Datum: 2024-09-302025-05-152025-05-242025-07-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 9
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.resconrec.2025.108398
MDB-ID: No data to archive
Model / method: Quantitative Methods
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Regional keyword: Global
Research topic keyword: Cities
Research topic keyword: Sustainable Development
Research topic keyword: Decarbonization
Working Group: Urban Transformations
 Art des Abschluß: -

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Titel: Resources, Conservation and Recycling
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 221 Artikelnummer: 108398 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/190521
Publisher: Elsevier