Seven-Layer Classification of Infrastructure to Improve Community Resilience to Disasters

Choi, Juyeong; Deshmukh, Abhijit; Hastak, Makarand

doi:10.1061/(asce)is.1943-555x.0000486

Cited by 25 publications

(17 citation statements)

References 46 publications

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“…Constant performance targets are commonly used when full function [58], pre-disruption performance [172], or a "normal" level [76] are well defined and constant. Variable performance targets should be considered for all other cases.…”

Section: Constant Versus Variable Performance Targetsmentioning

confidence: 99%

“…Λ-metric [55], [56], amplitude [173], [203], consequence [4], depth of failure propagation [79], drop of functionality [3], initial loss [72], [73], lost functionality [197], maximum impact level [75], maximum incurred performance loss [5], peak severity [177], performance attenuation [204], and risk [194]. Residual performance and depth of impact were associated with system attributes of absorptive capacity [5], [100], survivability [16], [205], vulnerability [206], and, most often, robustness [35], [68], [158], [159], [172], [196], [200], [201], [207].…”

Section: Magnitude-based Metricsmentioning

confidence: 99%

“…Others considered the recovery phase, starting from the period of lowest performance: [𝑡𝑡 𝑑𝑑 , 𝑡𝑡 𝑓𝑓 ]. Labels included rapidity [172], [211], [212], recovery time [3], [72],…”

Section: Duration-based Metricsmentioning

confidence: 99%

See 2 more Smart Citations

Infrastructure resilience curves: Performance measures and summary metrics

Poulin

Kane

2021

Reliability Engineering & System Safety

114

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Section: Constant Versus Variable Performance Targetsmentioning

confidence: 99%

Section: Magnitude-based Metricsmentioning

confidence: 99%

See 1 more Smart Citation

Infrastructure resilience curves: Performance measures and summary metrics

Poulin

Kane

2021

Reliability Engineering & System Safety

114

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“…A spatial data infrastructure was designed to access geospatial data, which could be used to analyze disaster emergencies and support decision makers in mitigating disaster risks and enhancing community resilience [ 113 ]. Additionally, a seven-layer classification of infrastructure to improve community disaster resilience was proposed, which facilitates an understanding of the interdependencies within the layers and an analysis of various communities’ needs in post-disaster recovery [ 114 ]. Moreover, a sequential discrete optimization approach was proposed as a decision-making framework at the community level for post-hazard recovery.…”

Section: The Three Phases Of Urban Disaster Resilience Researchmentioning

confidence: 99%

A Scientometric Review of Urban Disaster Resilience Research

Yang

Tan

et al. 2021

IJERPH

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Natural disasters and human-made disasters are threatening urban areas globally. The resilience capacity of the urban system plays an important role in disaster risk response and recovery. Strengthening urban disaster resilience is also fundamental to ensuring sustainable development. Various practices and research for enhancing urban disaster resilience have been carried out worldwide but are yet to be reviewed. Accordingly, this paper gives a scientometric review of urban disaster resilience research by using CiteSpace. The time span (January 2001–January 2021) was selected and divided into three phases based on the number of publications. In addition, according to keyword statistics and clustering results, the collected articles are grouped into four hotspot topics: disaster risk reduction, specific disaster resilience research, resilience assessment, and combination research. The results show that most of the existing research is in the first two categories, and articles in the second and fourth categories both show a high growth rate and could be further research directions. The review indicates that urban disaster resilience is essential for a city’s sustainable development. Moreover, the findings provide scholars a full picture of the existing urban disaster resilience research which can help them identify promising research directions. The findings can also help urban government officials and policymakers review current urban disaster management strategies and make further improvements.

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“…Academic researchers have been qualitatively and quantitively measuring and evaluating resilience from different disciplinary perspectives (Chang & Shinozuka, 2004;Cimellaro, Reinhorn, & Bruneau, 2010;Choi, Deshmukh, & Hastak, 2019;Linkov et al, 2013;Sina, Chang-Richards, Wilkinson, & Potangaroa, 2019). Indeed, the "systems-theoretical accident model and process" was developed to analyze system accidents to advance the resilience of engineered systems (Leveson, 2004).…”

Section: Building Disaster Resilience Requires a Collaborative Approachmentioning

confidence: 99%

Resilience in Postdisaster Reconstruction of Human Settlement

Wu¹

2021

Multisystemic Resilience

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Disaster resilience is an ongoing learning process for individuals, families, communities, and society in general to prepare for, respond to, adapt to, and recover from disaster events. This capacity requires a synthesis of multiple elements, including natural, built, social, cultural, economic, and political environments. Architects are on the front line to facilitate postdisaster reconstruction of human settlement, overseeing the quality of structural and infrastructural systems to better support the various social and humanitarian recovery efforts. From the architectural perspective of disaster research and practice, this chapter examines various aspects of building resilience in human settlement. Using the post-Wenchuan earthquake reconstruction initiative in China as an example, this chapter illustrates how the lack of balance among different societal factors (such as social, economic, and cultural) in built environment reconstruction directly damages other aspects of recovery, which significantly delays the capacity-building process of resilience.

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Seven-Layer Classification of Infrastructure to Improve Community Resilience to Disasters

Cited by 25 publications

References 46 publications

Infrastructure resilience curves: Performance measures and summary metrics

Infrastructure resilience curves: Performance measures and summary metrics

A Scientometric Review of Urban Disaster Resilience Research

Resilience in Postdisaster Reconstruction of Human Settlement

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