An extension to the USGS ShakeCast for system-level impact assessment using a Bayesian approach

The United States Geological Survey (USGS) ShakeCast provides near-real-time post-earthquake impact and inspection metrics for critical infrastructure facilities following an event.The system sends automatic notifications with information on inspection priorities based on damage estimates using a suite of fragility models and ShakeMap ground motion parameters.The current system provides only asset-level damage estimates, which can be further used for system-level impact assessment through a Bayesian approach.This paper describes a methodology for an application of a Bayesian approach using the product of the ShakeCast and demonstrates an example of its application for the road bridge network located in the Wheatbelt Region of southwestern Western Australia, inland from Perth.This region has been the subject of detailed collaborative research on infrastructure assets that has led to an operational piloting of ShakeCast in Geoscience Australia's National Earthquake Alerts Centre.The bridge network in this research consists of approximately 100 bridges with earthquake vulnerability attributed.The performance of the selected routes is assessed assuming the bridges are the only vulnerable elements in the road network that can fail due to ground shaking.This proposed extension to ShakeCast will enable road transport asset managers to assess the likelihood of system operational status near-real-time following an event.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.23967/icossar.2025.061
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
0.00

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article

An extension to the USGS ShakeCast for system-level impact assessment using a Bayesian approach

Hodon Ryu, Joongmoo Byun, Michael C. Edwards
earthquake and tectonic studies
article

An extension to the USGS ShakeCast for system-level impact assessment using a Bayesian approach

Hodon Ryu, Joongmoo Byun, Michael C. Edwards
article en

Abstract

The United States Geological Survey (USGS) ShakeCast provides near-real-time post-earthquake impact and inspection metrics for critical infrastructure facilities following an event.The system sends automatic notifications with information on inspection priorities based on damage estimates using a suite of fragility models and ShakeMap ground motion parameters.The current system provides only asset-level damage estimates, which can be further used for system-level impact assessment through a Bayesian approach.This paper describes a methodology for an application of a Bayesian approach using the product of the ShakeCast and demonstrates an example of its application for the road bridge network located in the Wheatbelt Region of southwestern Western Australia, inland from Perth.This region has been the subject of detailed collaborative research on infrastructure assets that has led to an operational piloting of ShakeCast in Geoscience Australia's National Earthquake Alerts Centre.The bridge network in this research consists of approximately 100 bridges with earthquake vulnerability attributed.The performance of the selected routes is assessed assuming the bridges are the only vulnerable elements in the road network that can fail due to ground shaking.This proposed extension to ShakeCast will enable road transport asset managers to assess the likelihood of system operational status near-real-time following an event.

U.S. Geological Survey
Climate action
Openalex Percentile: Top 83%
earthquake and tectonic studies
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An extension to the USGS ShakeCast for system-level impact assessment using a Bayesian approach — Hodon Ryu, Joongmoo Byun, et al. · (2025) | TGRS Research Map | TGRS