Assessing Urban Vulnerability in the Context of Flood and Heat Hazard: Pathways and Challenges for Indicator-Based Analysis

Krellenberg, Kerstin; Welz, Juliane

doi:10.1007/s11205-016-1324-3

Cited by 18 publications

(12 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Language diversity is measured as a Blau index of the nine main language categories reported in the Australian census (Blau, ). Finally, the study controls for population density, percentage of residents aged 0–14 years , and the percentage of residents aged 65 years and over , as the very young and the elderly may be more vulnerable to the effects of disasters (Krellenberg and Welz, ).…”

Section: Methodsmentioning

confidence: 99%

Community social capital and individual functioning in the post‐disaster context

et al. 2018

View full text Add to dashboard Cite

Disasters can have severe and long‐lasting consequences for individuals and communities. While scholarly evidence indicates that access to social support can ameliorate their negative impacts, less understood is whether or not neighbourhood social capital can facilitate recovery. This study uses two waves of survey data—collected before and after a significant flood in Brisbane, Australia, in 2011—to examine the relationship between the severity of the event at the individual and neighbourhood level, access to neighbourhood social capital and individual‐level social support, and functioning in the post‐disaster environment. In line with previous research, the results indicate that the severity of the flood is the most salient predictor of post‐disaster functioning. No evidence was unearthed to show that neighbourhood social capital amassed before the flood leads to better functioning subsequently, but the findings do suggest that individual‐level social support can moderate the effect of flood severity on functioning.

show abstract

Section: Methodsmentioning

confidence: 99%

Community social capital and individual functioning in the post‐disaster context

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Dall'Osso et al, 2009;Blanco-Vogt and Schanze, 2014;Bagdanavičiute et al, 2015;Godfrey et al, 2015), 195 other studies focus on multiple dimensions of vulnerability (e.g. Kienberger et al, 2009;Balica, et al, 2012;Krellenberg and Welz, 2017). Table 1 shows that the majority of vulnerability indicators in the context of flood are multidimensional.…”

Section: Vulnerability Dimensionmentioning

confidence: 99%

“…Papathoma et al, 2003;Kappes et al, 2012;Blanco-Vogt and Schanze, 2014), or to semi-aggregated scales such as entire building blocks (e.g. Müller et al, 2011;Krellenberg and Welz, 2017;Sadeghi-Pouya et al, 2017) or neighborhoods 220 (e.g. Fernandez et al, 2016;Percival et al, 2018).…”

Section: Spatial Scalementioning

confidence: 99%

“…The core element in deriving a vulnerability index is the indicator itself (Krellenberg and Welz, 2017), hence, careful attention has to be given to which variables are chosen as indicators. The selection of indicators is one of the main challenges of vulnerability assessment (Marleen et al, 2017;Papathoma-Köhle et al, 2019) because a suboptimal selection of indicators will consequently lead to an information bias or even loss (Günther 2006).…”

Section: Indicator Selection 255mentioning

confidence: 99%

“…In another study, Krellenberg and Welz (2017) investigated the probability of buildings to be exposed under certain socio-environmental conditions using the indicator approach by combining literature review and expert opinion for assigning weights to selected variables. Weighted variables from this study included building structure, building surrounding and coping capacity.…”

Section: Indicator Weighting 290mentioning

confidence: 99%

See 2 more Smart Citations

An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

Malgwi¹,

Fuchs²,

Keiler³

2019

Preprint

View full text Add to dashboard Cite

10Although the vulnerability indicator method has been applied to several data-scarce regions, a missing linkage with damage grades had hindered its application for loss evaluation to complement disaster risk reduction efforts. To address this gap, we present a review of physical vulnerability indicators and flood damage models to gain insights on best practice. Thereafter, we present a conceptual framework for linking the vulnerability indicators and damage grades using three phases (i) developing a vulnerability index, (ii) identifying regional damage grades, and (iii) linking vulnerability index classes with 15 damage grades. The vulnerability index comprehensively integrates elements of the hazard using a Building Impact Index (BII) on one hand, and exposure, susceptibility and local protection elements using a Building Resistance Index (BRI) on the other hand. For the damage grades, local expert assessments are used for identifying and categorizing frequently observed regional damage patterns. Finally, by means of synthetic what-if analysis, experts are asked to estimate damage grades for each interval of the BII and class of BRI to develop a vulnerability curve. The proposed conceptual framework can be used 20 for damage prediction in data-scarce regions to support loss assessment and to provide guidance for disaster risk reduction.

show abstract

Resilience, Adaptation and Transformation: Conceptual and Empirical Insights from Two Case Studies in Germany and Chile

2017

View full text Add to dashboard Cite

Assessing Urban Vulnerability in the Context of Flood and Heat Hazard: Pathways and Challenges for Indicator-Based Analysis

Cited by 18 publications

References 42 publications

Community social capital and individual functioning in the post‐disaster context

Community social capital and individual functioning in the post‐disaster context

An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

Resilience, Adaptation and Transformation: Conceptual and Empirical Insights from Two Case Studies in Germany and Chile

Contact Info

Product

Resources

About