Analyzing city-scale resilience using a novel systems approach

McClymont, Kerri; Bedinger, Melissa; Beevers, Lindsay; Walker, Guy H.; Morrison, David E.

doi:10.1016/b978-0-12-819047-0.00011-1

Cited by 6 publications

(10 citation statements)

References 19 publications

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“…When all three resilience frameworks are accounted for, we are forced to consider the interactions, not only between natural, social, and technical aspects but also between spatial and temporal scales the system [38]. One framework of resilience cannot be considered in isolation without having a feedback to other aspects of resilience.…”

Section: Resilience Frameworkmentioning

confidence: 99%

“…This can be used to build the context and understand the different networks in play within any given catchment. The interactions and feedback can then be mapped and connected on top of this [7,38,62]; and potentially be linked to the long-term outcomes or goals identified for catchment resilience (identified as a gap above).…”

Section: The How Of Future Catchment Resiliencementioning

confidence: 99%

“…o Network analysis of physical infrastructure networks and their potential interactions [7,38,58,66]. o Numerical analysis of the performance of flood alleviations schemes [50], both hydraulically and structurally; similarly, water resource networks and interactions with withdrawals and users.…”

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confidence: 99%

“…Using interaction analysis, the system's functional structure can be explored. Several system design questions can be posed around this topic [38]. For instance, to enhance catchment resilience, are more interactions better for the system [38]?…”

mentioning

confidence: 99%

“…Several system design questions can be posed around this topic [38]. For instance, to enhance catchment resilience, are more interactions better for the system [38]? Or should we explore 'smarter' interactions, strengthening particular links or dependencies and prioritising them over others?…”

mentioning

confidence: 99%

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Resilience in Complex Catchment Systems

Beevers

Bedinger

McClymont

et al. 2021

Water

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In this paper, we explore how we can use catchment resilience as a unifying concept to manage and regulate catchments, using structured reviews to support our perspective. Catchments are complex systems with interrelated natural, social, and technical aspects. The exposure, vulnerability, and resilience of these aspects (separately and in combination) are the latent conditions, which, when triggered by a hydrohazard, result in catchment impacts. In complex catchment systems, resilience is the ability to bounce back, the ability to absorb, and the ability to transform. When all three abilities are accounted for, we are forced to consider the interactions of the catchment system. Six main complexity concepts can be used to frame how we approach evaluating catchment resilience. These concepts are: natural-social-technical aspects, interactions, spatial scales, time scales, multiple forms of evidence, and uncertainty. In analysing these complexity concepts, we have found that there are several gaps in current practice. Requirements for future methodological approaches are suggested. Central to any effective approach is the incorporation of a linking systems or interaction analysis, which draws together the natural-social-technical system in a meaningful way. If our approaches do not begin to acknowledge the interdependencies and interactions, we may miss substantial opportunities to enhance catchment resilience.

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Section: Resilience Frameworkmentioning

confidence: 99%

Section: The How Of Future Catchment Resiliencementioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Resilience in Complex Catchment Systems

Beevers

Bedinger

McClymont

et al. 2021

Water

Self Cite

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Exploring the raison d’etre behind metric selection in network analysis: a systematic review

et al. 2022

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Network analysis is a useful tool to analyse the interactions and structure of graphs that represent the relationships among entities, such as sectors within an urban system. Connecting entities in this way is vital in understanding the complexity of the modern world, and how to navigate these complexities during an event. However, the field of network analysis has grown rapidly since the 1970s to produce a vast array of available metrics that describe different graph properties. This diversity allows network analysis to be applied across myriad research domains and contexts, however widespread applications have produced polysemic metrics. Challenges arise in identifying which method of network analysis to adopt, which metrics to choose, and how many are suitable. This paper undertakes a structured review of literature to provide clarity on raison d’etre behind metric selection and suggests a way forward for applied network analysis. It is essential that future studies explicitly report the rationale behind metric choice and describe how the mathematics relates to target concepts and themes. An exploratory metric analysis is an important step in identifying the most important metrics and understanding redundant ones. Finally, where applicable, one should select an optimal number of metrics that describe the network both locally and globally, so as to understand the interactions and structure as holistically as possible.

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