Standardized disaster and climate resilience grading: A global scale empirical analysis of community flood resilience

Hochrainer‐Stigler, Stefan; Laurien, Finn; Velev, Stefan; Keating, Adriana; Mechler, Reinhard

doi:10.1016/j.jenvman.2020.111332

Cited by 24 publications

(11 citation statements)

References 23 publications

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“…Similar to the emerging paradigm in resilience literature (Hochrainer‐Stigler et al, 2020; McClymont et al, 2020; Taylor et al, 2020), our approach confirms the importance of integrated analysis of both quantitative and qualitative considerations on a granular level to capture the place‐based knowledge about potential effectiveness and implementability of different resilience strategies. The co‐production of knowledge allowed us to obtain qualitative insights about varying needs, preferences, and priorities related to flood risk and resilience on a neighborhood scale.…”

Section: Resultssupporting

confidence: 81%

“…Finally, 15-min travel time was built into the dataset, as it represents the longest expected time someone in this area would drive to or from the existing critical facilities to each of the block parcel centroids. This travel impedance in minutes was informed by the literature discussing various response times of emergency services in urban settings (Yin et al, 2017) but were slightly extended from, for example, typical ambulance response times of 5-8 min (Ingolfsson et al, 2008) to account for a broader category of critical facilities included in this study. After each scenario was intersected with the road network, the Location/Allocation analysis was conducted for each type of critical facility.…”

Section: Network Analysismentioning

confidence: 99%

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Exploring neighborhood‐level resilience to flooding: Why the context and scale matter

Bukvic

Borate

Hughes

et al. 2021

J Flood Risk Management

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This article explores the role of contextual neighborhood‐level considerations in community resilience planning in coastal urban locations. A comparative case study analysis was conducted in three different locations in the City of Hampton, Virginia, that all share a common challenge of coastal flooding but have distinctly different neighborhood‐level circumstances that shape their flood impacts and resilience building options. The research approach utilizes a co‐production of knowledge and descriptive statistics to identify the overall flood risk and socioeconomic attributes of each locality that may influence broader citywide resilience investments within the realm of three overarching options: protection, accommodation, and relocation. It then applies a geospatial network analysis to determine which study neighborhoods will have significantly reduced access to critical facilities such as emergency services, medical facilities, and schools due to accelerated sea level rise as one of the key coastal hazards in this low‐lying region. The results show that each case study location has its own unique contextual circumstances that define its preferences for different resilience strategies regardless of the actual flood risk. The results also highlight the importance of holistic assessment of granular conditions that play a critical role in prioritization of resource allocation and interventions in coastal municipalities.

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Section: Resultssupporting

confidence: 81%

Section: Network Analysismentioning

confidence: 99%

Exploring neighborhood‐level resilience to flooding: Why the context and scale matter

Bukvic

Borate

Hughes

et al. 2021

J Flood Risk Management

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“…An initial empirical analysis of the FRMT can be found in Campbell et al 19 and an analysis of the resilience characteristics can be found in Laurien et al 14 . In Hochrainer-Stigler et al 23 and Laurien et al 14 the internal consistency of the framework and the inter-grader reliability was tested. Here, the characteristics of resilience are linked to disaster impacts (post-event study) to assess the dynamics between two time periods (baseline and endline measures), as well as for communities that experienced a flood event over the study period.…”

Section: Resilience Measurement and Data Gatheringmentioning

confidence: 99%

Differences in the dynamics of community disaster resilience across the globe

Hochrainer‐Stigler

Velev

Laurien

et al. 2021

Sci Rep

Self Cite

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The consideration of disaster resilience as a multidimensional concept provides a viable and promising way forward for reducing risk and minimizing impacts today and in the future. What is missing is the understanding of the actual dynamics of resilience over time based on empirical evidence. This empirical understanding requires a consistent measure of resilience. To that end, a Technical Resilience Grading Standard for community flood resilience, was applied in a longitudinal study from 2016 to 2018 in 68 communities across the globe. We analyse the dynamics of disaster resilience using an advanced boosted regression tree modelling framework. The main outcome of our analysis is twofold: first, we found empirical evidence that the dynamics of resilience build on a typology of communities and that different community clusters experience different dynamics; and second, the dynamics of resilience follows transitional behaviour rather than a linear or continuous process. These are empirical insights that can provide ways forward, theoretically as well as practically, in the understanding of resilience as well as in regard to effective policy guidance to enhance disaster resilience.

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“…Shohei Matsuura stressed the importance of an interdisciplinary approach in order for today's experts to successfully develop strategies for disaster risk reduction (Matsuura & Razak 2019). In the light of these divergent approaches, Stefan Hochrainer-Stigler stressed the critical nature of setting global standards to which all countries can adhere to whilst developing community resilience to disasters (Hochrainer-Stigler et al 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Disaster resilient village-based approach to disaster risk reduction policy in Indonesia: A regulatory analysis

Arifin

Wicaksono

Sumarto

et al. 2021

Jàmbá Journal of Disaster Risk Studies

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This article will address the disaster resilience village (DRV) approach as a disaster preparedness method in Indonesia. This scheme became operational in 2012, exactly 5 years after disaster management legislation was passed in 2007. This DRV strategy is a component of the central government’s decentralisation of disaster management to local governments. Using a method of doctrinal legal review, this study argues that the DRV approach to disaster preparedness at the village level is inefficient. That is because the village apparatus is the central player in this DRV, but residents of disaster-prone areas are regarded as an afterthought when it comes to disaster management. Consequently, efforts to strengthen emergency preparedness for residents in disaster-prone areas will be harmed. As a result, it is unsurprising that whenever a disaster occurs in Indonesia, the death toll and damage to property remain high. This is because people who live in disaster-prone areas lack a framework for transforming knowledge and scientific experience with disasters. In addition, this DRV strategy opposes previous disaster experts’ community-based and transformative approaches. However, direct field research on communities living in disaster-prone areas is needed to obtain empirical evidence of the DRV approach’s shortcomings.

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Standardized disaster and climate resilience grading: A global scale empirical analysis of community flood resilience

Cited by 24 publications

References 23 publications

Exploring neighborhood‐level resilience to flooding: Why the context and scale matter

Exploring neighborhood‐level resilience to flooding: Why the context and scale matter

Differences in the dynamics of community disaster resilience across the globe

Disaster resilient village-based approach to disaster risk reduction policy in Indonesia: A regulatory analysis

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