Characteristics, dimensions and methods of current assessment for urban resilience to climate-related disasters: A systematic review of the literature

Tong, Peihao

doi:10.1016/j.ijdrr.2021.102276

Cited by 45 publications

(16 citation statements)

References 62 publications

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“…Concerns about UR against disasters have been highlighted over the past few decades and have led to several studies and systematic reviews. Nevertheless, what has been done so far has mostly concentrated on some kinds of disasters, like floods (McClymont et al , 2020), earthquakes (French et al , 2019), climate change (Hughes, 2015), climate-related disasters (Tong, 2021), climate change and natural hazards (Schipper and Langston, 2015), or some of the resilience dimensions, such as social (Saja et al , 2019; Ran et al , 2020), infrastructure (Faturechi and Miller-Hooks, 2015) and water infrastructure systems (Shin et al , 2018). No systematic review has focused on evaluating the state of resilience based on the type of settlement (informal settlements, the worn-out urban fabric, the central part of the city, coastal cities, comparative studies, small cities, medium cities, big cities and megacities), without limiting the study to a specific type of disaster or a specific dimension of resilience.…”

Section: Introductionmentioning

confidence: 99%

An overview of the state of urban resilience in Iran

Moradpour

Ahmad²,

Hataminejad³

et al. 2022

IJDRBE

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Purpose In Iran, the frequent occurrence of disasters has always been a major problem. In recent decades, disasters have created considerable challenges, especially in cities. Hence, understanding the levels of urban resilience (UR) and planning for addressing vulnerabilities plays a key role in the era of increasing risks and uncertainties. The present study aims to provide a comprehensive overview of the state of resilience of Iranian cities. Design/methodology/approach A systematic literature review method was used to determine how resilient Iranian cities are. To find relevant studies, the authors searched Iranian and international databases such as Scopus, ScienceDirect, SID and Magiran. There was no restriction on the inclusion date, meaning that all papers published up until September 16, 2021 were considered for inclusion. The PRISMA framework was used for literature search and selection and, finally, 153 studies focused on 52 cities of Iran were selected for the systematic review. Findings In general, the results showed that the level of resilience was low in Iranian cities. Also, informal settlements, worn-out urban fabrics and the central parts of cities showed lower resilience than other parts. Originality/value The results of the study can be used to inform municipal authorities, urban planners and non-governmental organizations of the actions that need to be taken to enhance the resilience of Iranian cities.

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Section: Introductionmentioning

confidence: 99%

An overview of the state of urban resilience in Iran

Moradpour

Ahmad²,

Hataminejad³

et al. 2022

IJDRBE

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“…Many resilience assessment models have been developed based on the above two categories of methods, by assessing the risk of each component of the system or describing the process of disasters (Tong, 2021;Cheng et al, 2022). In addition, these models consider the factors that affect the system's ability to cope with risk, recover from it, and learn and innovate.…”

Section: A Brief Overview Of Current Resilience Assessment Methodsmentioning

confidence: 99%

A disaster-damage-based framework for assessing urban resilience to intense rainfall-induced flooding

Zhang¹,

Mao²,

Gong³

et al. 2023

Urban Climate

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“…The community is the emergent property arising from complex interactions among several urban sub-systems such as facilities, population and infrastructures connecting them (e.g., transportation system, power system, communication network). Several resilience characteristics have been proposed by previous researchers to model resilience, ranging from the famous 4Rs (robustness, redundancy, resourcefulness, and rapidity) 24 to flexibility, efficiency, equality, and diversity 14,16,25,26 . Three criteria are set to select suitable resilience features: 1.…”

Section: Selection Of Resilience Characteristics and Urban Sub-systemsmentioning

confidence: 99%

Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features

Mostafavi,

kai

2023

Preprint

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Community resilience is a complex and muti-faceted phenomenon that emerges from complex and nonlinear interactions among different socio-technical systems and their resilience properties. However, present studies on community resilience focus primarily on vulnerability assessment and utilize index-based approaches, with limited ability to capture heterogeneous features within community socio-technical systems and their nonlinear interactions in shaping robustness, redundancy, and resourcefulness components of resilience. To address this gap, this paper presents an integrated three-layer deep learning model for community resilience rating (called Resili-Net). Twelve measurable resilience features are specified and computed within community socio-technical systems (i.e., facilities, infrastructures, and society) related to three resilience components of robustness, redundancy, and resourcefulness. Using publicly accessible data from multiple metropolitan statistical areas in the United States, Resili-Netcharacterizes the resilience levels of spatial areas into five distinct levels. The interpretability of the model outcomes enables feature analysis for specifying the determinants of resilience in areas within each resilience level, allowing for the identification of specific resilience enhancement strategies. Changes in community resilience profiles under urban development patterns are further examined by changing the value of related socio-technical systems features. Also, combined resilience-risk levels in each community are analyzed, and several communities are found to suffer from high risk and low resilience, which calls for special attention to resilience enhancement. Departing from the dominantly vulnerability-focused assessments, Resili-Net enables characterizing community resilience as an emergent property arising from nonlinear interactions among heterogeneous community features related to their socio-technical systems. Accordingly, the outcomes provide novel perspectives for community resilience assessment by harnessing machine intelligence and heterogeneous urban big data.

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Characteristics, dimensions and methods of current assessment for urban resilience to climate-related disasters: A systematic review of the literature

Cited by 45 publications

References 62 publications

An overview of the state of urban resilience in Iran

An overview of the state of urban resilience in Iran

A disaster-damage-based framework for assessing urban resilience to intense rainfall-induced flooding

Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features

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