A framework for the probabilistic quantification of the resilience of communities to hurricane winds

Abdelhady, Ahmed U.; Spence, Seymour M.J.; McCormick, Jason

doi:10.1016/j.jweia.2020.104376

Cited by 24 publications

(8 citation statements)

References 24 publications

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“…The 27th Conference of the Parties to the United Nations Framework Convention on Climate Change (COP27) has now proposed measures such as establishing a dedicated fund for climate loss and damage and increasing the amount of climate finance [95]. In the future, it is critical to consider integrating climate change adaptation and climate risk management into urban planning [96], which may involve investing in extreme weather warning systems, cultivating drought-resistant food varieties, establishing security resilient frameworks for settlements [97], and promoting low-carbon lifestyles;…”

Section: Discussionmentioning

confidence: 99%

Study on the Progress in Climate-Change-Oriented Human Settlement Research

Yao

Yang

et al. 2023

Sustainability

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Since the 20th century, the escalating impact of climate risks has led to a heightened global focus on climate-change-oriented human settlement research (hereafter referred to as CCHSR). This paper presents an econometric analysis of 6830 research papers published from 1975 to 2023 (first two months) to investigate the characteristics, key issues, and research trends in CCHSR, to provide valuable insights and recommendations for future research. We used CiteSpace, bibliometric software that constructs a knowledge-mapping analysis of annual publication volume, source publications, and country distribution; this study examines the characteristics of the literature sources in CCHSR. It also explores the literature distribution through an analysis of co-citation and collaboration. The study identifies the key topics of current research through a keyword clustering analysis, including extreme climate risk response, environmental safety and sustainability enhancement, and machine learning technology application. The study identifies three research trends for future investigations by analysing keyword emergence, including climate risk governance implementation, artificial intelligence technology application, and settlement security and resilience enhancement. Finally, the study presents recommendations for priority CCHSR in three areas: theoretical system development, mechanism strategy design, and technology implementation.

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Section: Discussionmentioning

confidence: 99%

Study on the Progress in Climate-Change-Oriented Human Settlement Research

Yao

Yang

et al. 2023

Sustainability

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“…Regional hurricane risk analysis models include event-based simulations (Huang et al, 2001) and probabilistic non-stationary processes (Khajwal and Noshadravan 2020). Other studies performed community-level hurricane risk analysis using distributed computing platforms (Abdelhady et al, 2019;Abdelhady et al, 2020) and data-driven techniques (Guo and van de Lindt 2019). However, these probabilistic approaches are unable to account for the spatial distribution of hurricane intensities as the probabilistic hazard map represents an aggregated effect of numerous hurricane events (Adachi and Ellingwood 2010), limiting their application in community risk-management decisionmaking.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel framework to study community-level social and physical impacts of hurricane-induced winds through synthetic scenario analysis

Mazumder

Enderami²,

Sutley³

2023

Front. Built Environ.

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Strong hurricane winds often cause severe infrastructure damage and pose social and economic consequences in coastal communities. In the context of community resilience planning, estimating such impacts can facilitate developing more risk-informed mitigation plans in the community of interest. This study presents a new framework for synthetically simulating scenario-hurricane winds using a parametric wind field model for predicting community-level building damage, direct economic loss, and social consequences. The proposed synthetic scenario approach uses historical hurricane data and adjusts its original trajectory to create synthetic change scenarios and estimates peak gust wind speed at the location of each building. In this research, a stochastic damage simulation algorithm is applied to assess the buildings’ physical damage. The algorithm assigns a damage level to each building using the corresponding damage-based fragility functions, predicted maximum gust speed at the building’s location, and a randomly generated number. The monetary loss to the building inventory due to its physical damage is determined using FEMA’s direct loss ratios and buildings’ replacement costs considering uncertainty. To assess the social impacts of the physical damage exposure, three likely post-disaster social disruptions are measured, including household dislocation, employment disruption, and school closures. The framework is demonstrated by its application to the hurricane-prone community of Onslow County, North Carolina. The novel contribution of the developed framework, aside from the introduced approach for spatial predicting hurricane-induced wind hazards, is its ability to illuminate some aspects of the social consequences of substantial physical damages to the building inventory in a coastal community due to the hurricane-induced winds. These advancements enable community planners and decision-makers to make more risk-informed decisions for improving coastal community resilience.

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“…hurricanes, and fires [11][12][13]. Hence, the concept of resilience is important towards understanding roads and the risks they are exposed to as part of the transportation network.…”

Section: Introductionmentioning

confidence: 99%

“…However, there is a consensus in the scientific community that resilience includes two principal aspects: response and recovery. Resilience has also been applied to various fields of natural hazards, including disaster management such as floods, earthquakes, hurricanes and fires (Zhu et al, 2021;Rautela et al, 2020;Abdelhady et al, 2020). Hence, the concept of resilience is important toward understanding roads and the risks they are exposed to as part of the transportation network.…”

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confidence: 99%

Enhancing the resilience of road networks to flooding

Zhang

Proverbs

et al. 2022

IJBPA

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PurposeThis paper aims to clarify the resistance degree of group road logistics to flood disaster resilience. The paper measures the resilience of group road logistics by establishing network structure model. The purpose of this study is to improve the resilience of road log.Design/methodology/approachThis paper adopts Delphi method to collect data, interviews mainly flood management experts and supply chain risk management experts, and then analyzes the data through the network structure model combined with interpretative structure model (ISM) and analytical network process (ANP).FindingsThe results show that flood frequency and drainage systems are the main factors affecting the resilience of road transport logistics in urban areas. These research results provide useful guidance for the effective planning and design of urban road construction and infrastructure.Research limitations/implicationsHowever, the main factors affecting the resilience of road transport logistics are likely to change with the development of factors such as climate, economy and environment. Therefore, in future work, the authors' research will focus on the further application of this evaluation method.Practical implicationsThe results show that the impact of flooding on the four dimensions of road logistics resilience varies. This shows that in deciding what intervention measures are to be taken to improve the resilience of the road network to flooding, various measures need to be considered.Social implicationsThis paper provides a more scientific analysis of the risk management ability of the road network in the face of floods. In addition, it also provides a useful reference for urban road planners.Originality/valueThis paper addresses a clear need to study how to build models to improve the resilience of road logistics in flood risk.

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A framework for the probabilistic quantification of the resilience of communities to hurricane winds

Cited by 24 publications

References 24 publications

Study on the Progress in Climate-Change-Oriented Human Settlement Research

Study on the Progress in Climate-Change-Oriented Human Settlement Research

A novel framework to study community-level social and physical impacts of hurricane-induced winds through synthetic scenario analysis

Enhancing the resilience of road networks to flooding

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