Establishing Characteristics to Operationalize Resilience for Lifeline Systems

Davis, Craig A.; Mostafavi, Ali; Wang, Haizhong

doi:10.1061/(asce)nh.1527-6996.0000303

Cited by 27 publications

(9 citation statements)

References 6 publications

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“…Our seismic risk assessment is similar to the first of two phases as described in American Lifelines Alliance (2005). If more detailed analyses are warranted, earthquake scenarios can be used to examine aspects such as spatial correlation of ground motions, potential service disruption from ground failures, or potential disproportionate impacts on marginalized communities (Davis et al 2018;Eguchi and Taylor 1987;De Risi et al 2018). Second, the presented earthquake risk is due to impacts from strong ground shaking only; it does not account for the possibility of higher risk from ground failures, even for post-1945 shielded electric arc steel pipelines (Baum et al 2008;O'Rourke and Palmer 1996).…”

Section: Limitations and Research Needsmentioning

confidence: 99%

“…Additionally, quantifying the sources of uncertainty helps identify major research needs. Toward these aims, the paper focuses on leaks, breaks, and repair costs as consequences when quantifying earthquake risk (FEMA 2012); other important metrics such as service disruption (Davis et al 2018), system reliability (Tong and Iris 2019), gas released (Mousavi et a. 2014), or potential fire hazards (Technical Council on Lifeline Earthquake Engineering 2005) are beyond the current scope.…”

Section: Introductionmentioning

confidence: 99%

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Earthquake Risk of Gas Pipelines in the Conterminous United States and Its Sources of Uncertainty

Kwong

Jaiswal

Baker

et al. 2022

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

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Relatively little research has been conducted to systematically quantify the nationwide earthquake risk of gas pipelines in the US; simultaneously, national guidance is limited for operators across the country to consistently evaluate the earthquake risk of their assets. Furthermore, many challenges and uncertainties exist in a comprehensive seismic risk assessment of gas pipelines. As a first stage in a systematic nationwide assessment, we quantify the earthquake risk of gas transmission pipelines in the conterminous US due to strong ground shaking, including the associated uncertainties. Specifically, we integrate the US Geological Survey 2018 National Seismic Hazard Model, a logic tree-based exposure model, three different vulnerability models, and a consequence model. The results enable comparison against other risk assessment efforts, encourage more transparent deliberation regarding alternative approaches, and facilitate decisions on potentially assessing localized risks due to ground failures that require site-specific data. Based on the uncertainties approximated herein, the resulting sensitivity analyses suggest that the vulnerability model is the most influential source of uncertainty. Finally, we highlight research needs such as (1) developing more vulnerability models for regional seismic risk assessment of gas pipelines; (2) identifying, prioritizing, and measuring input pipeline attributes that are important for estimating seismic damage; and (3) better quantifying seismic hazards with their uncertainties at the national scale, for both ground failures and ground shaking.

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Section: Limitations and Research Needsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Earthquake Risk of Gas Pipelines in the Conterminous United States and Its Sources of Uncertainty

Kwong

Jaiswal

Baker

et al. 2022

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

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“…Civil infrastructure projects are the network of human-made systems that function together to provide essential goods and services needed to maintain the functions of communities and societies and the broader environment (Marsh et al 1997). Shocks and stressors may result in failure or compromise of the services of the interdependent systems that enable everyday life (Davis et al 2018). These disturbances often disrupt the continuity of services to society (Choi et al 2019).…”

Section: The Role Of Civil Engineering In Supporting Communities Through Infrastructure Systemsmentioning

confidence: 99%

Incorporating Socioeconomic Metrics in Civil Engineering Projects: The Resilience Perspective

et al. 2022

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This paper explores the role of socioeconomic metrics in the design, planning and operations of civil engineering projects within the specific context of resilience. The inclusion of resilience analysis and design is consistent with the goals of the ASCE Infrastructure Resilience Division (IRD) and related emerging standards and duties of civil engineers. This paper focuses on the practices in design, planning, construction, and operation of civil engineering projects that can deliver social value to communities and offers a set of socioeconomic metrics for consistently measuring these benefits. Socioeconomic metrics benchmark benefits including safety, social equity, health and wellbeing, prosperity, cohesion and inclusivity, and mobility and accessibility during the whole life-cycle of a project. A review of metrics is presented and expanded with an emphasis on the need for contextual narrative support to their application. The aim is to establish further the use of metrics in civil engineering projects to set values at the community level and formulate them to justify and rationalize resilience interventions and strategies. The reviewed concepts and categorized project metrics can be used by a range of actors in addition to civil engineers, such as urban planners, policy makers, or regional developers, preferably in a collaborative manner across these groups, particularly to help prioritize the investment of resources and funds to achieve resilience. Three project examples at differing levels of complexity are presented to conceptually illustrate the approaches outlined herein.

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“…Existing studies offer various approaches for quantifying data related to community resilience [7,8]. Quantifying community resilience is an integral part of effective response and resource allocation across disaster phases [9][10][11]. For instance, studies [12][13][14] focusing on disaster resilience of the built environment and essential business services, such as hospitals [15,16], schools [17], businesses and supply chains [18,19], oil and gas [20] and grocery stores [21,22] have contributed to the awareness of the physical vulnerability, reliability and recovery of the built © 2021 The Authors.…”

Section: Introductionmentioning

confidence: 99%

Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data

Podesta

Coleman

Esmalian

et al. 2021

J. R. Soc. Interface.

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This research establishes a methodological framework for quantifying community resilience based on fluctuations in a population's activity during a natural disaster. Visits to points-of-interests (POIs) over time serve as a proxy for activities to capture the combined effects of perturbations in lifestyles, the built environment and the status of business. This study used digital trace data related to unique visits to POIs in the Houston metropolitan area during Hurricane Harvey in 2017. Resilience metrics in the form of systemic impact, duration of impact, and general resilience (GR) values were examined for the region along with their spatial distributions. The results show that certain categories, such as religious organizations and building material and supplies dealers had better resilience metrics—low systemic impact, short duration of impact, and high GR. Other categories such as medical facilities and entertainment had worse resilience metrics—high systemic impact, long duration of impact and low GR. Spatial analyses revealed that areas in the community with lower levels of resilience metrics also experienced extensive flooding. This insight demonstrates the validity of the approach proposed in this study for quantifying and analysing data for community resilience patterns using digital trace/location-intelligence data related to population activities. While this study focused on the Houston metropolitan area and only analysed one natural hazard, the same approach could be applied to other communities and disaster contexts. Such resilience metrics bring valuable insight into prioritizing resource allocation in the recovery process.

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Establishing Characteristics to Operationalize Resilience for Lifeline Systems

Cited by 27 publications

References 6 publications

Earthquake Risk of Gas Pipelines in the Conterminous United States and Its Sources of Uncertainty

Earthquake Risk of Gas Pipelines in the Conterminous United States and Its Sources of Uncertainty

Incorporating Socioeconomic Metrics in Civil Engineering Projects: The Resilience Perspective

Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data

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