Estimating exposure of residential assets to natural hazards in Europe using open data
<p>Natural hazards affect many types of tangible assets, the most valuable of which are often residential assets, comprising buildings and household contents. Yet, information necessary to derive exposure in terms of monetary value at the level of individual houses is often not available. This...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-01-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://www.nat-hazards-earth-syst-sci.net/20/323/2020/nhess-20-323-2020.pdf |
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| author | D. Paprotny H. Kreibich O. Morales-Nápoles P. Terefenko K. Schröter |
| author_facet | D. Paprotny H. Kreibich O. Morales-Nápoles P. Terefenko K. Schröter |
| author_sort | D. Paprotny |
| collection | DOAJ |
| description | <p>Natural hazards affect many types of tangible assets, the most valuable of which are often residential assets, comprising buildings and household contents. Yet, information necessary to derive exposure in terms of monetary value at the level of individual houses is often not available. This includes building type, size, quality, or age. In this study, we provide a universal method for estimating exposure of residential assets using only publicly available or open data. Using building footprints (polygons) from OpenStreetMap as a starting point, we utilized high-resolution elevation models of 30 European capitals and pan-European raster datasets to construct a Bayesian-network-based model that is able to predict building height. The model was then validated with a dataset of (1) buildings in Poland endangered by sea level rise, for which the number of floors is known, and (2) a sample of Dutch and German houses affected in the past by fluvial and pluvial floods, for which usable floor space area is known. Floor space of buildings is an important basis for approximating their economic value, including household contents. Here, we provide average national-level gross replacement costs of the stock of residential assets in 30 European countries, in nominal and real prices, covering the years 2000–2017. We either relied on existing estimates of the total stock of assets or made new calculations using the perpetual inventory method, which were then translated into exposure per square metre of floor space using data on countries' dwelling stocks. The study shows that the resulting standardized residential exposure values provide much better coverage and consistency compared to previous studies.</p> |
| first_indexed | 2024-04-13T02:25:43Z |
| format | Article |
| id | doaj.art-750c241e1e67466aad1243e7c821735e |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-04-13T02:25:43Z |
| publishDate | 2020-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-750c241e1e67466aad1243e7c821735e2022-12-22T03:06:48ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812020-01-012032334310.5194/nhess-20-323-2020Estimating exposure of residential assets to natural hazards in Europe using open dataD. Paprotny0H. Kreibich1O. Morales-Nápoles2P. Terefenko3K. Schröter4Section Hydrology, Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, GermanySection Hydrology, Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, GermanyDepartment of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628CN Delft, the NetherlandsInstitute of Marine and Environmental Sciences, University of Szczecin, Adama Mickiewicza 16, 70-383 Szczecin, PolandSection Hydrology, Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany<p>Natural hazards affect many types of tangible assets, the most valuable of which are often residential assets, comprising buildings and household contents. Yet, information necessary to derive exposure in terms of monetary value at the level of individual houses is often not available. This includes building type, size, quality, or age. In this study, we provide a universal method for estimating exposure of residential assets using only publicly available or open data. Using building footprints (polygons) from OpenStreetMap as a starting point, we utilized high-resolution elevation models of 30 European capitals and pan-European raster datasets to construct a Bayesian-network-based model that is able to predict building height. The model was then validated with a dataset of (1) buildings in Poland endangered by sea level rise, for which the number of floors is known, and (2) a sample of Dutch and German houses affected in the past by fluvial and pluvial floods, for which usable floor space area is known. Floor space of buildings is an important basis for approximating their economic value, including household contents. Here, we provide average national-level gross replacement costs of the stock of residential assets in 30 European countries, in nominal and real prices, covering the years 2000–2017. We either relied on existing estimates of the total stock of assets or made new calculations using the perpetual inventory method, which were then translated into exposure per square metre of floor space using data on countries' dwelling stocks. The study shows that the resulting standardized residential exposure values provide much better coverage and consistency compared to previous studies.</p>https://www.nat-hazards-earth-syst-sci.net/20/323/2020/nhess-20-323-2020.pdf |
| spellingShingle | D. Paprotny H. Kreibich O. Morales-Nápoles P. Terefenko K. Schröter Estimating exposure of residential assets to natural hazards in Europe using open data Natural Hazards and Earth System Sciences |
| title | Estimating exposure of residential assets to natural hazards in Europe using open data |
| title_full | Estimating exposure of residential assets to natural hazards in Europe using open data |
| title_fullStr | Estimating exposure of residential assets to natural hazards in Europe using open data |
| title_full_unstemmed | Estimating exposure of residential assets to natural hazards in Europe using open data |
| title_short | Estimating exposure of residential assets to natural hazards in Europe using open data |
| title_sort | estimating exposure of residential assets to natural hazards in europe using open data |
| url | https://www.nat-hazards-earth-syst-sci.net/20/323/2020/nhess-20-323-2020.pdf |
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