Open image in new window Estimation of Direct Landslide Costs in Industrialized Countries: Challenges, Concepts, and Case Study

  • Martin KloseEmail author
  • Lynn Highland
  • Bodo Damm
  • Birgit Terhorst
Conference paper


This paper presents a short summary of the challenges and concepts in previous landslide loss studies and introduces a methodological framework for the estimation of direct landslide costs in industrialized countries. A case study of landslide losses for federal roads in the Lower Saxon Uplands (NW Germany) exemplifies the application of this methodology in a regional setting.

Globally, the costs of landslide damage are proven to be of economic significance, but yet efforts for their systematic estimation are still rare. The evaluation of landslide costs requires the consideration of complex causalities and high spatiotemporal variability. Landslide impacts on economic systems vary as a function of their level of development, and specific methodologies are required for different geographic areas due to the difficulty of comparing widely dissimilar types of economies.

In this approach, landslide costs are spatially extrapolated from sub-regional levels after their calculation in representative case study areas. In the first step, cost survey is closely linked with methods of cost modeling, which in turn take advantage of landslide database information. The cost extrapolation to large-scale levels is realized by a landslide susceptibility model combining cost figures with indices of infrastructure exposure.


Direct landslide losses Cost estimation Industrialized countries 


  1. Alimohammadlou Y, Najafi A, Yalcin A (2013) Landslide process and impacts: a proposed classification method. Catena 104:219–232CrossRefGoogle Scholar
  2. Chung CJF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30:451–472CrossRefGoogle Scholar
  3. CRED (2013) EM-DAT: the OFDA/CRED International Disaster Database. Université catholique de Louvain, Brussels, Belgium. Last accessed 4 August 2013
  4. Crovelli RA, Coe JA (2009) Probabilistic estimation of numbers and costs of future landslides in the San Francisco Bay region. Georisk 3(4):206–223Google Scholar
  5. Damm B (2013) Landslide database for the Federal Republic of Germany, previous version: Database Mass Movements in German Subdued Mountains 1137-2013. August 2013, University of Vechta, GermanyGoogle Scholar
  6. Highland L (2006) Estimating landslide losses—preliminary results of a seven-state pilot project: U.S. Geological Survey Open-File Report 2006–1032, 11 pGoogle Scholar
  7. Kjekstad O, Highland L (2009) Economic and social impacts of landslides. In: Sassa K, Canuti P (eds) Landslides—disaster risk reduction. Springer, Berlin, pp 573–587CrossRefGoogle Scholar
  8. Klose M, Damm B, Terhorst B, Schulz N, Gerold G (2012) Economic loss by landslides: development of an empirical calculation model with regional application to German subdued mountains. In: Koboltschnig G, Hübl J, Braun J (eds) Extended abstracts of the 12th interpraevent congress, 23–26 April 2012, Grenoble, France, pp 214–215Google Scholar
  9. Klose M, Gruber D, Damm B, Gerold G (2014) Spatial databases and GIS as tools for regional landslide susceptibility modeling. Zeitschrift für Geomorphologie 58:1–36CrossRefGoogle Scholar
  10. Schuster RL (1996) Socioeconomic significance of landslides. In: Turner AK, Schuster RL (eds) Landslides: investigation and mitigation. Transportation Research Board Special Report 247. National Academy Press, Washington, DC, pp 12–35Google Scholar
  11. USGS (2013) Landslide inventory pilot project. Last accessed 29 July 2013
  12. Vranken L, Van Turnhout P, Van Den Eeckhaut M, Vandekerckhove L, Poesen J (2013) Economic valuation of landslide damage in hilly regions: a case study from Flanders, Belgium. Sci Total Environ 447:323–336CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Martin Klose
    • 1
    Email author
  • Lynn Highland
    • 2
  • Bodo Damm
    • 1
  • Birgit Terhorst
    • 3
  1. 1.ISPA, University of VechtaVechtaGermany
  2. 2.U.S. Geological SurveyDenverUSA
  3. 3.Institute of Geography and GeologyUniversity of WürzburgWürzburgGermany

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