Articles | Volume 16, issue 2
https://doi.org/10.5194/nhess-16-417-2016
https://doi.org/10.5194/nhess-16-417-2016
Research article
 | 
10 Feb 2016
Research article |  | 10 Feb 2016

Using open building data in the development of exposure data sets for catastrophe risk modelling

R. Figueiredo and M. Martina

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Cited articles

Autorità di Bacino del fiume Po: Piano stralcio per l'Assetto Idrogeologico (PAI) – 7.II, Allegato 3 – Metodo di delimitazione delle fasce fluviali, Parma, 1999.
Bing Maps Team: Over 100 New Streetside and 3D Cities Go Live on Bing Maps (Blog post), available at: http://blogs.bing.com/maps/2014/08/20/over-100-new-streetside-and-3d-cities-go-live-on-bing-maps/, last access: 18 March 2015, 2014.
Bossard, M., Feranec, J., and Otahel, J.: CORINE land cover technical guide – Addendum 2000, European Environment Agency, Copenhagen, 2000.
Chen, K., McAneney, J., Blong, R., Leigh, R., Hunter, L., and Magill, C.: Defining area at risk and its effect in catastrophe loss estimation: a dasymetric mapping approach, Appl. Geogr., 24, 97–117, https://doi.org/10.1016/j.apgeog.2004.03.005, 2004.
Dell'Acqua, F., Gamba, P., and Jaiswal, K.: Spatial aspects of building and population exposure data and their implications for global earthquake exposure modeling, Nat. Hazards, 68, 1291–1309, https://doi.org/10.1007/s11069-012-0241-2, 2012.
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Short summary
The building exposure component of risk models is frequently based on census data at coarse resolutions. Spatial disaggregation into finer resolutions is usually performed based on proxy variables, which is a reasonable but not ideal procedure. The availability of open data is increasing and these data can be taken into account in order to generate more accurate exposure models, which in turn can improve the results of risk models. A method to do so is proposed and its limitations are analysed.
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