It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
; Nachtigall, Florian 1
; Hu, Jiawei 1 ; Brüser, Geza Boi 2 ; Zumwald, Marius 3 ; Biljecki, Filip 4
; Heeren, Niko 5
; Kaack, Lynn H. 6 ; Pichler, Peter-Paul 7
; Creutzig, Felix 1
1 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)
2 Independent researcher, Berlin, Germany (GRID:grid.5949.1) (ISNI:0000 0001 2172 9288)
3 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)
4 National University of Singapore, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431)
5 Norwegian University of Science and Technology (NTNU), Trondheim, Norway (GRID:grid.5947.f) (ISNI:0000 0001 1516 2393)
6 Hertie School, Data Science Lab, Berlin, Germany (GRID:grid.424677.4) (ISNI:0000 0004 0548 4745)
7 Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031)




