MaterialCities: mapping building material stocks and floor area of the world’s 1.8 million settlements by structures and functions

MaterialCities: mapping building material stocks and floor area of the world’s 1.8 million settlements by structures and functions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF data-descriptor MaterialCities: mapping building material stocks and floor area of the world’s 1.8 million settlements by structures and functions Tomer Fishman, Yoav Peled, Janneke van Oorschot, Peter Berrill, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9289464/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract MaterialCities is a dataset of the gross floor area and the mass of eight construction materials of the world’s buildings in high resolution and detail. It differentiates floor area and material stocks by three building functions and five load-bearing structural types with region-specific construction archetypes using variant material intensity ranges that capture buildings materials’ inherent uncertainties and variabilities. The data is available in five spatial resolutions, from its native data-driven delineation of individual settlements, towns, and cities to two levels of subnational administrative boundaries, individual countries, and two levels of global regional aggregations. It is the first global-scale high-resolution dataset of its kind to provide floor-area derived material stock estimates for detailed building archetypes. The data are provided in the GeoPackage format for use in geographic information systems (GIS) and as comma-separated value (CSV) tables to be easily filtered and recombined for ease of use. MaterialCities has many use cases including comparative assessments of buildings’ service provisioning, material requirements, energy consumption, and environmental impacts, quantifying the urban mine of secondary materials or building stocks at risk from disasters, and as baselines for future development scenarios. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9289464","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"data-descriptor","associatedPublications":[],"authors":[{"id":615808311,"identity":"0f11c068-3bd1-419e-ad0d-da6883bbfdcc","order_by":0,"name":"Tomer 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