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

Urheber*innen

Tu,  Jiachang
External Organizations;

Reimuth,  Andrea
External Organizations;

/persons/resource/nivedita

Sairam,  N.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/kreib

Kreibich,  H.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Katzschner,  Antje
External Organizations;

Downes,  Nigel K.
External Organizations;

Garschagen,  Matthias
External Organizations;

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Volltexte (frei zugänglich)

5029140.pdf
(Verlagsversion), 11MB

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Zitation

Tu, J., Reimuth, A., Sairam, N., Kreibich, H., Katzschner, A., Downes, N. K., Garschagen, M. (2024): Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam. - International Journal of Disaster Risk Reduction, 115, 105016.
https://doi.org/10.1016/j.ijdrr.2024.105016


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5029140
Zusammenfassung
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.