RUPOK An Online Risk Tool for Road Network Michal Bíl, Jan Kubeček, Rostislav Vodák
RUPOK Online application Interactive webmap Spatial database Includes Hazards, Vulnerabilities, Risks List of critical infrastructures
RUPOK
A spatial database of road traffic interruptions Data on road traffic incidents Police Road administrators External systems Xml HTTP POST export The Integrated Traffic Information System for the Czech Republic Filters (works automatically) RUPOK (www.rupok.cz) CLIENT Spatial database
No. of interrupted road links Online data on traffic incidents We are able to monitor hazardous processes today Spatial databases provide online data on road closures Animation June 2013 flood Data source: NDIC Jan Feb Mar Apr Jun Jul Aug Sep Oct Nov Dec 2013 June 2013 flood
Computation of natural hazards along roads Combined Floods Landslides Snow
Computation of natural hazards along roads Combined Floods Landslides Snow
RUPOK - vulnerabilities DIRECT COSTS Motorway Costs in CZK Local road
RUPOK - vulnerabilities INDIRECT COSTS Detour time
RUPOK - vulnerabilities INDIRECT COSTS Traffic intensities
Cause of a road blockage RUPOK: Spatial database of road network interruptions (1997 - present)
Landslide hazard on transportation links is directly related to A Exposure (spatial information from the official landslide database) B Recorded landslides (real events new traffic interruptions recorded by road administrators) C Regional landslide susceptibility (expert involved) D The road / railway link length
Exposure of transportation networks to landslides A Portion of road and railway sections within a landslide zone to all sections in the district [%] Roads Railways More than 50 % of transportation links in a given area are closer than 50 m to a landslide The values based on data from the spatial landslide database administered by the Czech Geological Survey
B Recorded landslides using online messages
Regions with higher susceptibility to landsliding C Geo-located data on traffic interruptions due to landsliding 7 Landslide susceptibility values as stated by an expert 1 5 Records within the red areas Landslides usually took place on natural slopes Records outside the red areas Landslides usually took place on road or railway embankments or rockfalls 10 Area with the highest landslide susceptibility
Transportation link length matters D The longer is a road link the higher is the landslide hazard (probability of a landslide occurrence along a link increases) The higher hazard due to the longer road link % % Road length: 13.6 km Road length: 6.7 km
Computation of natural hazards along roads A+B+C+D What is the probability of at least one traffic interruption caused by a landslide over the next year?
Visualization of landslide hazard along roads Generalized level Detailed level www.rupok.cz
Distribution of landslide hazard along roads for 3 periods Approx. 99 % of all road links The impacts of 1997 event
How reliable are the landslide hazard values? Landslide hazard will decrease over the following period Traffic interruptions are related to computed landslide hazard These links were not interrupted Underestimated landslide hazard (hazard close to 0, but the road interrupted twice)
Examples of landslide hazard
Landslide hazard values for 3 periods (1st 1997 2002, 2nd 2003 2008, 3rd 2009 2014) Landslide hazard (%) Very low hazard, but a landslide occurred in the 3 rd period One landslide recorded No exposure to landslides The lowest regional landslide susceptibility (1) Very short road link A landslide occurred at an artificial slope
Landslide hazard values for 3 periods (1st 1997 2002, 2nd 2003 2008, 3rd 2009 2014) Landslide hazard (%) Medium and constant hazard Three landslides recorded No exposure to landslides The lowest regional landslide susceptibility (1) Long road link Rockfalls on steep slopes above the road
Landslide hazard values for 3 periods (1st 1997 2002, 2nd 2003 2008, 3rd 2009 2014) Landslide hazard (%) High but decreasing hazard Spatial data on landslides (official database) Two landslides recorded only within the 1 st period Road exposed to landslides The highest regional landslide susceptibility (10) Long road link
Issues related to state-wide landslide hazard computation State-wide coverage, but low detail (computations based on spatial data, no field works) Source of landsliding: natural or artificial slopes An automated system of traffic blockage data relies on filters which expect correctly written messages (some messages are not then received) Hazard values can be affected by one isolated extreme event
Summary A state-wide spatial database of road and railway traffic interruptions due to landsliding (RUPOK.CZ) Landslide hazard was computed for the entire Czech transportation network Data uncertainty even low landslide hazard does not mean that landsliding cannot occur at such places Transportation network administrators should be prepared for traffic blockages and should therefore focus on network resilience improvement as preventive measures
Related publications Andrášik, R., Bíl, M., Slovák, R. (2016). How (not) to work with small probabilities: Evaluating the individual risk of railway transport. Risk, Reliability and Safety: Innovating Theory and Practice Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. 672 676 Bíl, M., Andrášik, R., Zahradníček, P., Kubeček, J., Sedoník, J., Štěpánek, P. (2016). Total water content thresholds for shallow landslides, Outer Western Carpathians. Landslides 13, 337 347. 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. Transportation Research Part A: Policy and Practice 80, 90 103. Vodák, R., Bíl, M., Sedoník, J. (2015). Network robustness and random processes. Physica A 428, 368 382. Bíl, M., Kubeček, J., Andrášik, R., (2014): An Epidemiological Approach to Determining the Risk of Road Damage due to Landslides. Nat Haz. 73 (4), 1323 1335.
Related publications
Thank you RUPOK.CZ Questions? Michal Bíl michal.bil@cdv.cz