RUPOK: An Online Landslide Risk Tool for Road Networks Open image in new window
The landslide risk for the entire Czech road network is presented here. The risk was computed using data on landslide hazard and data on potential impacts of road blockage. Data from the official landslide database were used for landslide hazard computation combined with data from historical records on roads interrupted by landsliding. Vulnerability was computed as direct costs which are related to road construction costs and indirect costs. The latter express additional economic losses from the blocked roads. This concept was applied at II/432 road link as a case study where a landslide interrupted traffic in May 2010. Indirect losses were estimated as being 2.5 times higher than costs related to mitigation works. All data can be viewed at rupok.cz website.
KeywordsLandslide Road Damage Database Web-map application Vulnerability GIS
This work was financed by the Transport R&D Centre (OP R&D for Innovation No. CZ.1.05/2.1.00/03.0064) and project LO1610. We further thank David Livingstone for English proofreading.
- Bíl M, Vodák R, Kubeček J, Bílová M, Sedoník J (2015) Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010. Transp Res Part A: Policy Pract 80:90–103Google Scholar
- Chang SE, Nojima N (2001) Measuring post-disaster transportation system performance: the 1995 Kobe earthquake in comparative perspective. Transport Res Part A 35:475–494Google Scholar
- Hosmer DW, Lemeshow S (2004) Applied logistic regression (2nd edn). Wiley series in probability and statistics. Wiley, New York, 383p. ISBN 978047135632Google Scholar
- MacKay DJC (2003) Information theory, inference, and learning algorithms. Cambridge University Press, Cambridge, 628p. ISBN 9780521642989Google Scholar
- MacLeod A, Hofmeister RJ, Wang Y, Burns S (2005) Landslide indirect losses: methods and case studies from Oregon. State of Oregon, Department of geology and mineral industriesGoogle Scholar
- Postance B, Hillier J, Dixon N, Dijkstra T (2015) Quantification of Road network vulnerability and traffic impacts to regional landslide hazards. EGU Gen Assembly Conf Abstr 17:3677Google Scholar
- Postance B, Hillier J, Dijkstra T, Dixon N (2016) Indirect economic impact of landslide hazards by disruption to national road transportation networks; Scotland, United Kingdom. EGU Gen Assembly Conf Abstr 18:4439Google Scholar
- RMD (Road and Motorway Directorate of the Czech Republic) (2012) Implementation guidelines for the assessment of economic efficiency of projects of road and motorway constructions, Appendix CGoogle Scholar
- RSZK (Zlín Region Road Directorate) (2010) URL: http://www.rszk.cz/aktual10/tz1020.htm. Last accessed: 25th Aug 2016
- Taylor FE, Malamud BD, Santangelo M, Marchesini I, Guzzetti F (2015) Statistical patterns of triggered landslide events and their application to road networks. EGU Gen Assembly Conf Abstr 17:9992Google Scholar
- Van Den Eeckhaut M, Hervás J (2012) Landslide inventories in Europe and policy recommendations for their interoperability and harmonization. A JRC contribution to the EU-FP7 SafeLand project. Report EUR 25666 EN. 203pGoogle Scholar
- Winter MG, Shearer B, Palmer D, Peeling D, Harmer C, Share J (2016) The economic impact of landslides and floods on the road network. advances in transportation geotechnics 3. The 3rd international conference on transportation geotechnics, vol 143, pp 1425–1434Google Scholar