RASMI: Global ranges of building material intensities differentiated by region, structure, and function

19670 9 105861 2 321747 document 105861 s41597-024-03190-7.pdf application/pdf 3c390377694f491c6eab44ac766ef502 MD5 6312220 2024-04-24 11:23:58 https://pure.iiasa.ac.at/id/eprint/19670/1/s41597-024-03190-7.pdf 19670 1 1 application/pdf text en public cc_by_4

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/105861 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/105861 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/105861 archive 353 disk0/00/01/96/70 2024-04-24 11:29:39 2026-04-10 12:32:24 2024-04-24 11:29:39 article show Fishman T. 2253 0000-0003-4405-2382 Mastrucci A. 2129 0000-0002-5611-7780 Peled Y. Saxe S. van Ruijven B. 92197 0000-0003-1232-5892 RASMI: Global ranges of building material intensities differentiated by region, structure, and function pub ECE S3 TISS The construction materials used in buildings have large and growing implications for global material flows and emissions. Material Intensity (MI) is a metric that measures the mass of construction materials per unit of a building's floor area. MIs are used to model buildings' materials and assess their resource use and environmental performance, critical to global climate commitments. However, MI data availability and quality are inconsistent, incomparable, and limited, especially for regions in the Global South. To address these challenges, we present the Regional Assessment of buildings' Material Intensities (RASMI), a new dataset and accompanying method of comprehensive and consistent representative MI value ranges that embody the variability inherent in buildings. RASMI consists of 3072 MI ranges for 8 construction materials in 12 building structure and function types across 32 regions covering the entire world. The dataset is reproducible, traceable, and updatable, using synthetic data when required. It can be used for estimating historical and future material flows and emissions, assessing demolition waste and at-risk stocks, and evaluating urban mining potentials. 2024-04-23 published Nature Publishing Group doi:10.1038/s41597-024-03190-7 3188 2872 3102 public Scientific Data 11 1 e418 TRUE 2052-4463 Circular Economy Modelling for Climate Change Mitigation (CircoMod, HE 101056868) Developing circular pathways for a EU low-carbon transition (CircEUlar, HE 101056810) Energy Demand Changes Induced by Technological and Social Innovations (EDITS) yes info:eu-repo/grantAgreement/EC/HE/101056868//CircoMod; info:eu-repo/grantAgreement/EC/HE/101056810//CircEUlar; info:eu-repo/semantics/article info:eu-repo/semantics/openAccess