Assessing and mapping urban resilience to floods with respect to cascading effects through critical infrastructure networks

Serre, Damien; Heinzlef, Charlotte

doi:10.1016/j.ijdrr.2018.02.018

Cited by 152 publications

(104 citation statements)

References 28 publications

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“…This technical approach focuses mainly on urban networks. However, cities comprise many factors, such as social dynamics, urban interactions and technical components, leading to additional indicators that must be monitored (Serre and Heinzlef, 2018).…”

Section: The Resilience Concept and Modelling Approachesmentioning

confidence: 99%

“…Finally, an essential benefit of using such indicators is that they can act as driving factors for risk management by including the concept of resilience clearly and more holistically (Linkov et al, 2014). The objective is to analyse the different social, urban and technical components (Serre and Heinzlef, 2018) of the area concerned (Table 1). The indicators were designed after adapting the Baseline Resilience Indicators for Communities (BRIC) methodology Patil et al, 2008;Singh-Peterson et al, 2014).…”

Section: A Framework For Defining Resilience Data?mentioning

confidence: 99%

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A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques

Heinzlef

Becue

Serre

2020

Nat. Hazards Earth Syst. Sci.

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Abstract. In the context of climate change and increasing urbanization, floods are considerably affecting urban areas. The concept of urban resilience may be an interesting means of responding to urban flood issues. The objective of this research is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method. The goal is to localize the level of resilience modelled in different territories. The methodology proposed consists of integrating three resilience indicators applied to a case study in Avignon (Provence-Alpes-Côte d'Azur region, France) and the use of geovisualization techniques: using GIS for data processing and analysis, visualization, mapping, and model processing. The methodology integrates decision-making by identifying characteristics capable of improving urban resilience and facilitating its understanding using a visual tool. The results demonstrate the usefulness of modelling resilience using geovisualization techniques to identify the potential for local resilience; integrate local stakeholders into a process of clarifying the concept through the contribution of visualization; and consider easier access to this concept based on data analysis, processing and visualization through the design of maps.

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Section: The Resilience Concept and Modelling Approachesmentioning

confidence: 99%

Section: A Framework For Defining Resilience Data?mentioning

confidence: 99%

A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques

Heinzlef

Becue

Serre

2020

Nat. Hazards Earth Syst. Sci.

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“…Suárez, Gómez‐Baggethun, Benayas, and Tilbury () built the Urban Resilience Index considering a social‐ecological perspective, identifying factors that foster urban resilience. Serre and Heinzlef () developed a resilience index called the Global Resilience, in terms of a holistic resilience approach, based on three indicators: social, urban, and technical. The introduction of a technical component responds to urban network effects and emphasises the importance of taking into account cascading effects in resilience analysis.…”

Section: Hydrologic Risks and Sustainable Citiesmentioning

confidence: 99%

An integrated quantitative framework to support design of resilient alternatives to manage urban flood risks

Miguez

Raupp²,

Veról

2018

J Flood Risk Management

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Urban floods can disrupt city services and cause significant damage. This study intends to contribute to the flood control discussion by proposing a design framework combining flood risk, resilience, and economic feasibility to support decision‐making among flood control alternatives. First, a hydrodynamic model (Urban Flood Cell Model‐MODCEL) simulates flood maps for different return periods. Then, a multicriteria flood risk index is used to introduce socioeconomic variables and an integrated flood resilience index indicates the best alternative for maintaining risks at an acceptable level under future pressures, that is, guaranteeing that future risks will not increase significantly. Finally, economic feasibility is assessed, adding a benefit–cost analysis, considering the expected avoided losses over a given time. To illustrate this discussion, two design alternatives are compared for a project lifetime of 50 years in the Dona Eugenia watershed, in the metropolitan area of Rio de Janeiro, Brazil. The proposed framework showed that the most complete (and initially preferred) alternative, which considered a whole set of distributed sustainable urban drainage and river restoration measures, was not economically feasible. A variant of this alternative focusing on fluvial floodable parks and river restoration, avoiding individual adaptations (like implementing green roofs in existing buildings), showed more sustainable results.

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“…In detail, even if hazards in the communities are recognized, risk reduction and vulnerability often are not salient concerns until after the disaster occurs. Prior to that, assessing the community resilience is essential.As a new wave of research has demonstrated, community resilience explores the leads for integrating systematic risk into urban planning [19]. Different types of human settlements, such as villages, towns, and cities, might experience a different level of loss due to the same hazards; thus, urbanization is considered a potential characteristic of the risk [20].…”

mentioning

confidence: 99%

“…As a new wave of research has demonstrated, community resilience explores the leads for integrating systematic risk into urban planning [19]. Different types of human settlements, such as villages, towns, and cities, might experience a different level of loss due to the same hazards; thus, urbanization is considered a potential characteristic of the risk [20].…”

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confidence: 99%

A Framework to Evaluate Community Resilience to Urban Floods: A Case Study in Three Communities

et al. 2020

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Community resilience is a key index for describing the response of human habitat systems to hazards. Evaluating and enhancing the community resilience requires indicators, identification, and quantitative measurements, especially for urban flooding management. In this study, an advanced index framework for measuring community resilience to urban flooding is proposed, integrating the fuzzy Delphi method (FDM) and the analytic network process (ANP). Seven indicators (public facilities, spatial structure of land use, flood management organizations, rescue capability, accuracy of weather forecasts, vulnerable population, and individual capability) of community resilience are identified using the fuzzy Delphi method. The indicators are classified into four dimensions, and the weights are determined by the analytic network process. This approach is applied to three different types of communities, namely, a newly built neighborhood, an ancient college, and a flood-prone village in the city of Nanning, China, using data collected from questionnaires, interviews, and field investigations. The neighborhood (with a total averaged score of 2.13) has the largest community resilience to urban flooding, followed by the college (1.8), and finally the village (0.91). Flooding management organizations play a leading role in the urban flooding resilience of the neighborhood and college, while the vulnerable population has a great impact on the community resilience of the village. Results of the strategy analysis suggest that science and technology improvement (0.543) is more important than social-economic status improvement (0.325) and built-environment improvement (0.132) for mitigating urban hazards in Nanning. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience for urban flooding and is expected to be applied to sustain urban planning and flood evacuations.A community generally refers to a group of individuals in a shared geographical area who are linked by dynamic socio-economic interactions and engage in collective actions [9,10]. Resilience is widely recognized as the ability of a system to respond to and recover from disasters and to absorb the impacts as well as cope with an event [11]. Community resilience is the capacity of a community to resist disasters and to take alleviating actions that are consistent with achieving the expected level of protection [12]. If a community can respond and recover from a hazard event and return to normal quickly, with good preparedness to reduce disaster losses rather than waiting for an event to occur [13], it is recognized as having a high resilience level. As a novel concept of disaster risk reduction (DRR), community resilience is widely used to resist disasters and maintain security in various aspects of fiscal, social, cultural, and environmental problems [14]. However, not all communities have the capability for resilience when facing hazards. The ability to absorb, recover from, and adapt to the hazard events varies, and ...

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Assessing and mapping urban resilience to floods with respect to cascading effects through critical infrastructure networks

Cited by 152 publications

References 28 publications

A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques

A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques

An integrated quantitative framework to support design of resilient alternatives to manage urban flood risks

A Framework to Evaluate Community Resilience to Urban Floods: A Case Study in Three Communities

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