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Natural Hazards

, Volume 52, Issue 2, pp 453–479 | Cite as

Estimation of industrial and commercial asset values for hazard risk assessment

  • Isabel Seifert
  • Annegret H. Thieken
  • Mirjam Merz
  • Dietmar Borst
  • Ute Werner
Original Paper

Abstract

For risk analyses not only knowledge about the impact of different types of hazards, but also information about the elements and values at risk is necessary. This article introduces a methodology for a countrywide estimation of asset values for commercial and industrial properties using Germany as an example. It consists of a financial appraisal of asset values on the municipal level and a further disaggregation by means of land use data. Novelties are the distinction of 60 economic activities, the consideration of production site sizes and the application of a dasymetric mapping technique for a sector-specific estimation and disaggregation of asset values. A validation with empirical data confirms the feasibility of the calculation. The resulting maps can be used for loss estimations e.g. in the framework of cost–benefit analyses that aim to evaluate hazard mitigation measures or for portfolio analyses by banks and insurance companies. The approach can be used for other countries if the necessary data is available (mainly in industrialized countries). In any case, it reveals the critical points when estimating commercial and industrial asset values.

Keywords

Asset estimation Industrial and commercial asset values Risk assessment Loss estimation Dasymetric mapping 

Notes

Acknowledgements

This work was done within the research project MEDIS (Methods for the evaluation of direct and indirect flood losses), which has been funded by the German Ministry for Education and Research (BMBF) (No. 0330688) within the research programme RIMAX (Risk management of extreme flood events). Cooperation partner was the CEDIM (Center for Disaster Management and Risk Reduction Technology), which is a joint venture between the GeoForschungsZentrum Potsdam (GFZ), the University of Karlsruhe (TH) and the Forschungszentrum Karlsruhe (FZK). Their financial and data supports are gratefully acknowleged.

Glossary of used terms and abbreviations

ATKIS

Official topographic and cartographic information system (Amtliches topographisch-kartographisches Informationssystem)

Branch variability

Variation of the stock of fixed assets between 60 different economic branches.

CLC2000

CORINE Land Cover data as at the year 2000; CORINE stands for Coordination of Information on the Environment

FEAG

Federal Employment Agency of Germany

FSOG

Federal Statistical Office of Germany

GIS

Geo information system

“Master”-production site

If a company has more than one production site in the same municipality all production sites were counted as one “master”-production site.

MEI assets

Sum of machinery, equipment and immaterial assets

Spatial variability

Variation of the stock of fixed assets in space i.e. between 16 federal states

WZ 2003

German classification system of economic activities, based on the European Nomenclature of economic activities (NACE—Nomenclature statistique des Activites economiques dans la Communaute Europenne; Eurostat 2002)

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Isabel Seifert
    • 1
  • Annegret H. Thieken
    • 2
  • Mirjam Merz
    • 3
  • Dietmar Borst
    • 4
  • Ute Werner
    • 4
  1. 1.Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Section HydrologyPotsdamGermany
  2. 2.alpS—Centre for Natural Hazard and Risk Management Ltd., Leopold-Franzens-University InnsbruckInnsbruckAustria
  3. 3.Institute for Industrial ProductionUniversity of Karlsruhe (TH)KarlsruheGermany
  4. 4.Institute for Finance, Banking and InsuranceUniversity of Karlsruhe (TH)KarlsruheGermany

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