Abstract

Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. Comprehensive and openly accessible building stock data can enable impactful research exploring the most effective policy options. In Europe, efforts from citizen and governments generated numerous relevant datasets but these are fragmented and heterogeneous, thus hindering their usability. Here, we present eubucco v0.1, a database of individual building footprints for ~202 million buildings across the 27 European Union countries and Switzerland. Three main attributes – building height, construction year and type – are included for respectively 73%, 24% and 46% of the buildings. We identify, collect and harmonize 50 open government datasets and OpenStreetMap, and perform extensive validation analyses to assess the quality, consistency and completeness of the data in every country. eubucco v0.1 provides the basis for high-resolution urban sustainability studies across scales – continental, comparative or local studies – using a centralized source and is relevant for a variety of use cases, e.g., for energy system analysis or natural hazard risk assessments.

Details

Title
EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
Author
Milojevic-Dupont, Nikola 1 ; Wagner, Felix 1   VIAFID ORCID Logo  ; Nachtigall, Florian 1   VIAFID ORCID Logo  ; Hu, Jiawei 1 ; Brüser, Geza Boi 2 ; Zumwald, Marius 3 ; Biljecki, Filip 4   VIAFID ORCID Logo  ; Heeren, Niko 5   VIAFID ORCID Logo  ; Kaack, Lynn H. 6 ; Pichler, Peter-Paul 7   VIAFID ORCID Logo  ; Creutzig, Felix 1   VIAFID ORCID Logo 

 Mercator Research Institute of Global Commons and Climate Change, Berlin, Germany (GRID:grid.506488.7) (ISNI:0000 0004 0582 7760); Technical University Berlin, Berlin, Germany (GRID:grid.6734.6) (ISNI:0000 0001 2292 8254) 
 Independent researcher, Berlin, Germany (GRID:grid.5949.1) (ISNI:0000 0001 2172 9288) 
 Technical University Berlin, Berlin, Germany (GRID:grid.6734.6) (ISNI:0000 0001 2292 8254); ETH Zürich, Institute for Environmental Decisions, Zürich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780) 
 National University of Singapore, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431) 
 Norwegian University of Science and Technology (NTNU), Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393) 
 Hertie School, Data Science Lab, Berlin, Germany (GRID:grid.424677.4) (ISNI:0000 0004 0548 4745) 
 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031) 
Pages
147
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2788673725
Copyright
© The Author(s) 2023. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.