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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.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request. Specifically, the data presented in Fig. 7 can be made available upon request. Other data and models are described in Hackl et al. (2018).

Acknowledgments

The work presented here has received funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No. 603960, and from Horizon 2020, the European Union’s Framework Programme for Research and Innovation under Grant Agreement No. 636285.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 26Issue 2June 2020

History

Received: May 4, 2018
Accepted: Aug 26, 2019
Published online: Feb 20, 2020
Published in print: Jun 1, 2020
Discussion open until: Jul 20, 2020

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Authors

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Research Assistant, Institute of Construction and Infrastructure Management, ETH Zurich, 8093 Zurich, Switzerland; Senior Resilience Lead, Advisory Services, WSP USA, Arlington, VA 22209 (corresponding author). ORCID: https://orcid.org/0000-0003-3898-1468. Email: [email protected]; [email protected]
Research Assistant, Institute of Construction and Infrastructure Management, ETH Zurich, 8093 Zurich, Switzerland; Assistant Professor, Dept. of Civil Engineering and Industrial Design, Univ. of Liverpool, Liverpool L69 3BX, United Kingdom. ORCID: https://orcid.org/0000-0002-8849-5751. Email: [email protected]; [email protected]
Research Assistant, Institute of Cartography and Geoinformation, ETH Zurich, 8093 Zurich, Switzerland. ORCID: https://orcid.org/0000-0002-9021-4170. Email: [email protected]
Bryan T. Adey, Ph.D. [email protected]
Professor, Institute of Construction and Infrastructure Management, ETH Zurich, 8093 Zurich, Switzerland. Email: [email protected]
Professor, Institute of Cartography and Geoinformation, ETH Zurich, 8093 Zurich, Switzerland. ORCID: https://orcid.org/0000-0002-0453-8743. Email: [email protected]

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