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

Figueiredo, R.; Martina, M.

doi:https://doi.org/10.5194/nhess-16-417-2016

Articles | Volume 16, issue 2

https://doi.org/10.5194/nhess-16-417-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-16-417-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 2

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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Final revised paper (published on 10 Feb 2016)
Preprint (discussion started on 26 Aug 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C1873: 'Comments on the structure', Mostapha Harb, 30 Sep 2015
- AC C2470: 'Reply to RC C1873: 'Comments on the structure'', Rui Figueiredo, 01 Dec 2015
RC C2045: 'Comments on validation and technical corrections', Viktor Roezer, 15 Oct 2015
- AC C2469: 'Reply to RC C2045: 'Comments on validation and technical corrections'', Rui Figueiredo, 01 Dec 2015

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.