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A probabilistic model of the economic risk to Britain’s railway network from bridge scour during floods

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A probabilistic model of the economic risk to Britain’s railway network from bridge scour during floods. / Lamb, Rob; Garside, Paige; Pant, Raghav; Hall, Jim.

In: Risk Analysis, Vol. 39, No. 11, 01.11.2019, p. 2457-2478.

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Lamb, Rob ; Garside, Paige ; Pant, Raghav ; Hall, Jim. / A probabilistic model of the economic risk to Britain’s railway network from bridge scour during floods. In: Risk Analysis. 2019 ; Vol. 39, No. 11. pp. 2457-2478.

Bibtex

@article{4b1986c1457d407dbc49e397816a19cd,
title = "A probabilistic model of the economic risk to Britain{\textquoteright}s railway network from bridge scour during floods",
abstract = "Scour (localized erosion by water) is an important risk to bridges, and hence many infrastructure networks, around the world. In Britain, scour has caused the failure of railway bridges crossing rivers in more than 50 flood events. These events have been investigated in detail, providing a data set with which we develop and test a model to quantify scour risk. The risk analysis is formulated in terms of a generic, transferrable infrastructure network risk model. For some bridge failures, the severity of the causative flood was recorded or can be reconstructed. These data are combined with the background failure rate, and records of bridges that have not failed, to construct fragility curves that quantify the failure probability conditional on the severity of a flood event. The fragility curves generated are to some extent sensitive to the way in which these data are incorporated into the statistical analysis. The new fragility analysis is tested using flood events simulated from a spatial joint probability model for extreme river flows for all river gauging sites in Britain. The combined models appear robust in comparison with historical observations of the expected number of bridge failures in a flood event. The analysis is used to estimate the probability of single or multiple bridge failures in Britain's rail network. Combined with a model for passenger journey disruption in the event of bridge failure, we calculate a system-wide estimate for the risk of scour failures in terms of passenger journey disruptions and associated economic costs.",
keywords = "Bridge, flood risk, infrastructure, rail network, scour",
author = "Rob Lamb and Paige Garside and Raghav Pant and Jim Hall",
year = "2019",
month = nov,
day = "1",
doi = "10.1111/risa.13370",
language = "English",
volume = "39",
pages = "2457--2478",
journal = "Risk Analysis",
issn = "0272-4332",
publisher = "Wiley",
number = "11",

}

RIS

TY - JOUR

T1 - A probabilistic model of the economic risk to Britain’s railway network from bridge scour during floods

AU - Lamb, Rob

AU - Garside, Paige

AU - Pant, Raghav

AU - Hall, Jim

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Scour (localized erosion by water) is an important risk to bridges, and hence many infrastructure networks, around the world. In Britain, scour has caused the failure of railway bridges crossing rivers in more than 50 flood events. These events have been investigated in detail, providing a data set with which we develop and test a model to quantify scour risk. The risk analysis is formulated in terms of a generic, transferrable infrastructure network risk model. For some bridge failures, the severity of the causative flood was recorded or can be reconstructed. These data are combined with the background failure rate, and records of bridges that have not failed, to construct fragility curves that quantify the failure probability conditional on the severity of a flood event. The fragility curves generated are to some extent sensitive to the way in which these data are incorporated into the statistical analysis. The new fragility analysis is tested using flood events simulated from a spatial joint probability model for extreme river flows for all river gauging sites in Britain. The combined models appear robust in comparison with historical observations of the expected number of bridge failures in a flood event. The analysis is used to estimate the probability of single or multiple bridge failures in Britain's rail network. Combined with a model for passenger journey disruption in the event of bridge failure, we calculate a system-wide estimate for the risk of scour failures in terms of passenger journey disruptions and associated economic costs.

AB - Scour (localized erosion by water) is an important risk to bridges, and hence many infrastructure networks, around the world. In Britain, scour has caused the failure of railway bridges crossing rivers in more than 50 flood events. These events have been investigated in detail, providing a data set with which we develop and test a model to quantify scour risk. The risk analysis is formulated in terms of a generic, transferrable infrastructure network risk model. For some bridge failures, the severity of the causative flood was recorded or can be reconstructed. These data are combined with the background failure rate, and records of bridges that have not failed, to construct fragility curves that quantify the failure probability conditional on the severity of a flood event. The fragility curves generated are to some extent sensitive to the way in which these data are incorporated into the statistical analysis. The new fragility analysis is tested using flood events simulated from a spatial joint probability model for extreme river flows for all river gauging sites in Britain. The combined models appear robust in comparison with historical observations of the expected number of bridge failures in a flood event. The analysis is used to estimate the probability of single or multiple bridge failures in Britain's rail network. Combined with a model for passenger journey disruption in the event of bridge failure, we calculate a system-wide estimate for the risk of scour failures in terms of passenger journey disruptions and associated economic costs.

KW - Bridge

KW - flood risk

KW - infrastructure

KW - rail network

KW - scour

U2 - 10.1111/risa.13370

DO - 10.1111/risa.13370

M3 - Journal article

VL - 39

SP - 2457

EP - 2478

JO - Risk Analysis

JF - Risk Analysis

SN - 0272-4332

IS - 11

ER -