Extreme Events for Infrastructure: Uncertainty and Risk

Stewart, Mark G.; Rosowsky, David V.

doi:10.1007/978-3-030-85018-0_1

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…Globally, critical infrastructure (CI), constituting of energy, transport, water, waste, telecoms, health and education systems, are increasingly at risk to natural hazards (Izaguirre et al, 2021;Stewart and Rosowsky, 2022;Verschuur et al, 2023). This is driven by both a growing demand for infrastructure associated with socio-economic development, and an observed and projected increase in the frequency and intensity of climate extremes (IPCC, 2022).…”

Section: Introductionmentioning

confidence: 99%

Review article: Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments – A systematic review and data collection

Nirandjan,

Koks,

et al. 2024

Preprint

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Abstract. Critical infrastructure (CI) is exposed to natural hazards that may lead to the devastation of these infrastructures and burden society with the indirect consequences that stem from this. The vulnerability is a key determinant for understanding, assessing and reducing natural hazard-induced risks to these infrastructures. To date, however, essential vulnerability information for CI is distributed across literature instead of being accessible through a centralized dataset. This study, through a systematic literature review, synthesises the state-of-the-art of fragility and vulnerability curves for CI assets of energy, transport, water, waste, telecoms, health and education in context of natural hazards and offers a unique physical vulnerability database. The publicly available centralized database that contains over 1,250 curves can directly be used as input for risk assessment studies that evaluate the expected or potential damages to assets due to flooding, earthquakes, windstorms and landslides. The literature review highlights that vulnerability development has mainly focused on earthquake curves for a wide range of infrastructure types. Windstorms have the second largest share in the database, but are especially limited to energy curves. While all CI systems require more vulnerability research, additional efforts are needed for telecommunication which is largely underrepresented in our database.

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Section: Introductionmentioning

confidence: 99%

Review article: Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments – A systematic review and data collection

Nirandjan,

Koks,

et al. 2024

Preprint

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show abstract

“…Risk-based approaches are well suited to optimizing decisions related to extreme events (e.g., Stewart & Rosowsky, 2022). Stochastic methods may be used to model threat likelihood, vulnerability, resilience, effectiveness of protective strategies, exposure, and costs.…”

Section: Introductionmentioning

confidence: 99%

Risk‐based thinking for extreme events: What do terrorism and climate change have in common?

Stewart

2023

Risk Manage Insurance Review

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Terrorism and climate change debates are often characterized by worst‐case thinking, cost neglect, probability neglect, and avoidance of the notion of acceptable risk. This is not unexpected when dealing with extreme events. However, it can result in a frightened public, costly policy outcomes, and wasteful expenditures. The paper will describe how risk‐based approaches are well suited to infrastructure decision‐making for extreme events. Risk management concepts will be illustrated with current research of risk‐based assessment of climate adaptation engineering strategies including designing new houses in Australia subject to cyclones and extreme wind events. It will be shown that small improvements to house designs at a one‐off cost of several thousand dollars per house can reduce damage risks by 70%–80% and achieve billions of dollars of net benefit for community resilience—this helps offset some the predicted adverse effects of climate change for a modest cost. The effect of risk perceptions, insurance, and economic incentives is explored for another climate adaption measure. The paper will also highlight that there is much to be optimistic about the future, and in the ability of risk‐based thinking to meet many challenges.

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A Stochastic Techno-Economic Analysis of Forest Biomass Feedstock Supply Chains: Clean and Dirty Chips for Bioenergy Applications

Ha,

Brown,

Quinn

et al. 2024

Bioenerg. Res.

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Extreme Events for Infrastructure: Uncertainty and Risk

Cited by 6 publications

References 34 publications

Review article: Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments – A systematic review and data collection

Review article: Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments – A systematic review and data collection

Risk‐based thinking for extreme events: What do terrorism and climate change have in common?

A Stochastic Techno-Economic Analysis of Forest Biomass Feedstock Supply Chains: Clean and Dirty Chips for Bioenergy Applications

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