Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam

As climate risks escalate worldwide, comprehending the household-level vulnerability to flood is critical for sustainable adaptation, particularly in rapidly urbanizing cities like Ho Chi Minh City. This study develops a household vulnerability index to a flood exposure index within the frameworks of contextual vulnerability and the risk-hazard model. Using six sub-components of vulnerability, we assess a composite index through a detailed analysis of qualitative and quantitative data collected from a survey of 1000 households across four districts. A hierarchical weighting model and geostatistical analysis tools are employed to calculate the vulnerability index and examine the spatial patterns of vulnerability. The findings reveal three key insights into household-level vulnerability: First, the flood does not directly cause or strongly correlate with vulnerability in the survey households. Second, equal levels of general inequality do not imply similar distributions of vulnerability across specific components and areas. Third, vulnerability and flood risk tend to be more pronounced in urban than rural areas, with notable spatial clustering. This study provides insights that can guide policymakers in prioritizing adaptation, and enhancing understanding of the interactions between social vulnerability, hazard exposure, and household-centered adaptation. The study also highlights important considerations for inequality and climate finance, and underscores the need for future research on vulnerability across multiple scales.

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Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2024-11-25
DOI
https://doi.org/10.1016/j.ijdrr.2024.105016
Citations
3
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.85
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article

Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam

Heidi Kreibich, Andrea Reimuth, Nigel K. Downes, Jiachang Tu et al.
3 citations
International Journal of Disaster Risk Reduction
Flood Risk Assessment and Management
0.85
article

Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam

Heidi Kreibich, Andrea Reimuth, Nigel K. Downes, Jiachang Tu, Antje Katzschner, Matthias Garschagen, Nivedita Sairam
article en
3 citations

Abstract

As climate risks escalate worldwide, comprehending the household-level vulnerability to flood is critical for sustainable adaptation, particularly in rapidly urbanizing cities like Ho Chi Minh City. This study develops a household vulnerability index to a flood exposure index within the frameworks of contextual vulnerability and the risk-hazard model. Using six sub-components of vulnerability, we assess a composite index through a detailed analysis of qualitative and quantitative data collected from a survey of 1000 households across four districts. A hierarchical weighting model and geostatistical analysis tools are employed to calculate the vulnerability index and examine the spatial patterns of vulnerability. The findings reveal three key insights into household-level vulnerability: First, the flood does not directly cause or strongly correlate with vulnerability in the survey households. Second, equal levels of general inequality do not imply similar distributions of vulnerability across specific components and areas. Third, vulnerability and flood risk tend to be more pronounced in urban than rural areas, with notable spatial clustering. This study provides insights that can guide policymakers in prioritizing adaptation, and enhancing understanding of the interactions between social vulnerability, hazard exposure, and household-centered adaptation. The study also highlights important considerations for inequality and climate finance, and underscores the need for future research on vulnerability across multiple scales.

International Journal of Disaster Risk ReductionVol. 115
Can Tho University (VN), GFZ Helmholtz Centre for Geosciences (DE), Ludwig-Maximilians-Universität München (DE)
Climate action
Openalex Percentile: Top 27%
Flood Risk Assessment and Management
0.85
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