An Integrated Multidimensional Resilience Index for urban areas prone to flash floods: Development and validation

Aroca‐Jiménez, Estefanía; Pozo, José María Bodoque del; García, Juan A.

doi:10.1016/j.scitotenv.2023.164935

Cited by 3 publications

(2 citation statements)

References 52 publications

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“…The framework highlights the significance of considering complex interactions among ecology, social processes, and technological innovations when planning urban resilience [ 33 ]. This framework aligns with our focus on integrative strategies by acknowledging the interdependency among various urban system components [ 12 , 34 ]. Socio-ecological systems provide an approach that, though not yet implemented in concrete resilience strategies, provides an excellent theoretical foundation [ 35 ].…”

Section: Introductionmentioning

confidence: 71%

Integrative approaches to urban resilience: Evaluating the efficacy of resilience strategies in mitigating climate change vulnerabilities

Lv,

Sarker

2024

Heliyon

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Section: Introductionmentioning

confidence: 71%

Integrative approaches to urban resilience: Evaluating the efficacy of resilience strategies in mitigating climate change vulnerabilities

Lv,

Sarker

2024

Heliyon

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“…Some studies have indicated that the dimensions of urban ecological resilience and infrastructure resilience are of significant importance in assessing the recovery capability from flood events [36]. Urban areas with ecological vulnerabilities are highly susceptible to flooding and waterlogging [37][38][39], highlighting the crucial impact of ecology on the recovery capacity from urban waterlogging. Urban ecological resilience, with its connotations of ecological resources and environmental restoration, is a suitable dimension for assessment.…”

Section: Primary Indicatorsmentioning

confidence: 99%

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Yuan,

Wang,

Wang

et al. 2024

Water

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Intense climate change and rapid urbanization have increased the risk of urban flooding, seriously affecting urban economic and social stability. Enhancing urban flood resilience (UFR) has required a new solution to cope with urban flood disasters. In this study, taking Yingtan city as an example, a system of indicators for evaluating UFR was constructed, with 17 representative indicators, comprising three subsystems: socio-economic, ecological, and infrastructural. A hybrid model combining Fuzzy Analytic Hierarchy Process (FAHP), Entropy Weight Method (EWM), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied, to develop an index-based measurement to compare and evaluate UFR, and Gray Relational Analysis (GRA) was used to discover the main factors affecting UFR. In addition, the natural discontinuous method was innovatively used to divide the UFR grade interval into levels, and the grade change was evaluated based on the TOPSIS method. The results showed that (1) From 2010 to 2022, the UFR in Yingtan City increased by 80.69%, and the factors affecting UFR were highly correlated with urban infrastructure development; however, the ecological resilience in the subsystem showed a fluctuating downward trend because of the influence of the surface area of lakes and rivers; (2) The grades of UFR for Yingtan City increased from Level III (2010 and 2016) to Level IV (2022), with local financial expenditures and the age structure of the population being the main factors currently limiting the development of UFR. The study provides a theoretical basis for the construction of an indicator system for assessing the UFR of Yingtan and proposes practical improvement directions for UFR.

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Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Yuan,

Wang,

Wang

et al. 2024

Preprint

View full text Add to dashboard Cite

Intense climate change and rapid urbanization have increased the risk of urban flooding, seriously affecting urban economic and social stability. Enhancing the urban flood resilience (UFR) has required a new solution to cope with urban flood disasters. In this study, taking Yingtan city as an example, a system of indicators for evaluating UFR was constructed, with 17 representative indicators, comprising three subsystems: socio-economic, ecological and infrastructural. A hybrid (FAHP-EWM)-TOPSIS model was applied, to develop an index-based measurement to compare and evaluate UFR, and Gray Relational Analysis (GRA) was used to discover the main factors affecting UFR. In addition, the natural discontinuous method was innovatively used to divide the UFR grade interval into levels, and the grade change was evaluated based on the TOPSIS method. The results showed that (1) from 2010 to 2022, the UFR in Yingtan City increased by 80.69%, and the factors affecting UFR are highly correlated with urban infrastructure development. However, the ecological resilience in the subsystem showed a fluctuating downward trend, because of the influence of the surface area of lakes and rivers. (2) The grades of UFR for Yingtan City increased from Level III (2010 and 2016) to Level IV (2022), with local financial expenditures and the age structure of the population being the main factors currently limiting the development of UFR. The study provides a theoretical basis for the construction of an indicator system for assessing the UFR of Yingtan and proposes practical improvement directions for UFR.

show abstract

An Integrated Multidimensional Resilience Index for urban areas prone to flash floods: Development and validation

Cited by 3 publications

References 52 publications

Integrative approaches to urban resilience: Evaluating the efficacy of resilience strategies in mitigating climate change vulnerabilities

Integrative approaches to urban resilience: Evaluating the efficacy of resilience strategies in mitigating climate change vulnerabilities

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

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