Impact Assessment of Extreme Hydrometeorological Hazard Events on Road Networks

Juan Carlos Lam, Jürgen Hackl, Magnus Heitzler, Bryan T. Adey, Lorenz Hurni

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Determining the risk related to transportation networks due to the occurrence of (natural) hazard events often requires computer support. A simulation-based modeling environment can be useful when modeling a set of related events that lead up to the estimation of the probable consequences of hazard events, which affect network managers and society. Nonetheless, running such simulations can be computationally expensive because each type of event requires a model of its own, and proper interfaces are needed to link events. Therefore, only a limited number of simulations can often be conducted, with the expectation that their results are representative of those that could have been obtained if all simulations had been run. This article presents a simulation reduction technique to calculate the risk related to transportation networks due to extreme hydrometeorological hazard events by conducting statistical analysis on the risk estimated when simulating the impact of nonextreme events. The technique may be of interest to network managers seeking to make decisions based on possible future climate scenarios. An example road network in Switzerland is used to illustrate the technique.

Original languageEnglish (US)
Article number04020005
JournalJournal of Infrastructure Systems
Volume26
Issue number2
DOIs
StatePublished - Jun 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

Keywords

  • Climate scenarios
  • Extreme events
  • Hydrometeorological hazards
  • Risk
  • Transportation network
  • Uncertainty analysis

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