Articles | Volume 23, issue 3
https://doi.org/10.5194/nhess-23-1125-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-1125-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Mar 2023
Research article |
| 16 Mar 2023
| 16 Mar 2023
Identifying the drivers of private flood precautionary measures in Ho Chi Minh City, Vietnam
Thulasi Vishwanath Harish
Section Hydrology, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Chair of Hydrology and River Basin Management, Technical
University of Munich, 80333 Munich, Germany
Nivedita Sairam
Section Hydrology, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Liang Emlyn Yang
Department of Geography, Ludwig-Maximilians-Universität München (LMU), 80333 Munich, Germany
Matthias Garschagen
Department of Geography, Ludwig-Maximilians-Universität München (LMU), 80333 Munich, Germany
Heidi Kreibich
CORRESPONDING AUTHOR
Section Hydrology, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
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Cited
15 citations as recorded by crossref.
- A systematic investigation of flood resilience measures in the Mekong River Basin T. Ho et al. 10.1016/j.envsci.2025.104228
- Modelling flood losses of micro-businesses in Ho Chi Minh City, Vietnam A. Buch et al. 10.5194/nhess-25-2437-2025
- Flood prediction with time series data mining: Systematic review D. Hakim et al. 10.1016/j.nhres.2023.10.001
- “They’re the ones that sent me down a flooded road”: trust, distrust, and individuals’ flood mitigation decisions L. Briccetti et al. 10.1080/09640568.2025.2524444
- DRIVING FACTORS AND CHALLENGES FOR THE FORMALIZATION OF HOUSEHOLD BUSINESSES IN HO CHI MINH CITY, VIETNAM H. HUYEN et al. 10.1142/S1084946724500262
- Identification of motivating factors to help decision-making to minimise flood risk by applying private mitigation measures A. Fouladi Semnan et al. 10.1016/j.ijdrr.2023.104038
- Determining factors affecting flood risk perception among local communities in Iran M. Savari et al. 10.1038/s41598-025-88673-2
- Application of construal level theory in identifying factors affecting individual decision-making in implementing flood protection measures in rural areas of Iran E. Askari et al. 10.1038/s41598-025-15847-3
- Responsibility attribution and community support of coastal adaptation to climate change: Evidence from a choice experiment in the Maldives S. Adloff & K. Rehdanz 10.1016/j.jocm.2024.100468
- Assessing factors influencing flood preparedness among Jakarta residents: A multilayer perceptron artificial neural network based on protection motivation theory B. Grahani et al. 10.1016/j.envdev.2025.101358
- Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam J. Tu et al. 10.1016/j.ijdrr.2024.105016
- Assessing Peri-Urbanisation and Urban Transitions between 2010 and 2020 in Ho Chi Minh City using an Urban Structure Type Approach N. Downes et al. 10.3390/urbansci8010011
- Investigating the influence of information sources on flood-coping appraisal: Insights into flood mitigation behaviour A. Fouladi Semnan et al. 10.1016/j.ijdrr.2024.104865
- BN-FLEMOΔ: a Bayesian-network-based flood loss estimation model for adaptation planning in Ho Chi Minh City, Vietnam K. Shahi et al. 10.5194/nhess-25-2845-2025
- Applying Machine Learning Techniques to Identify Key Factors Motivating Flood-Prone Residents to Implement Private Flood Mitigation Measures A. Fouladi Semnan et al. 10.1061/NHREFO.NHENG-1928
15 citations as recorded by crossref.
- A systematic investigation of flood resilience measures in the Mekong River Basin T. Ho et al. 10.1016/j.envsci.2025.104228
- Modelling flood losses of micro-businesses in Ho Chi Minh City, Vietnam A. Buch et al. 10.5194/nhess-25-2437-2025
- Flood prediction with time series data mining: Systematic review D. Hakim et al. 10.1016/j.nhres.2023.10.001
- “They’re the ones that sent me down a flooded road”: trust, distrust, and individuals’ flood mitigation decisions L. Briccetti et al. 10.1080/09640568.2025.2524444
- DRIVING FACTORS AND CHALLENGES FOR THE FORMALIZATION OF HOUSEHOLD BUSINESSES IN HO CHI MINH CITY, VIETNAM H. HUYEN et al. 10.1142/S1084946724500262
- Identification of motivating factors to help decision-making to minimise flood risk by applying private mitigation measures A. Fouladi Semnan et al. 10.1016/j.ijdrr.2023.104038
- Determining factors affecting flood risk perception among local communities in Iran M. Savari et al. 10.1038/s41598-025-88673-2
- Application of construal level theory in identifying factors affecting individual decision-making in implementing flood protection measures in rural areas of Iran E. Askari et al. 10.1038/s41598-025-15847-3
- Responsibility attribution and community support of coastal adaptation to climate change: Evidence from a choice experiment in the Maldives S. Adloff & K. Rehdanz 10.1016/j.jocm.2024.100468
- Assessing factors influencing flood preparedness among Jakarta residents: A multilayer perceptron artificial neural network based on protection motivation theory B. Grahani et al. 10.1016/j.envdev.2025.101358
- Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam J. Tu et al. 10.1016/j.ijdrr.2024.105016
- Assessing Peri-Urbanisation and Urban Transitions between 2010 and 2020 in Ho Chi Minh City using an Urban Structure Type Approach N. Downes et al. 10.3390/urbansci8010011
- Investigating the influence of information sources on flood-coping appraisal: Insights into flood mitigation behaviour A. Fouladi Semnan et al. 10.1016/j.ijdrr.2024.104865
- BN-FLEMOΔ: a Bayesian-network-based flood loss estimation model for adaptation planning in Ho Chi Minh City, Vietnam K. Shahi et al. 10.5194/nhess-25-2845-2025
- Applying Machine Learning Techniques to Identify Key Factors Motivating Flood-Prone Residents to Implement Private Flood Mitigation Measures A. Fouladi Semnan et al. 10.1061/NHREFO.NHENG-1928
Latest update: 22 Oct 2025
Short summary
Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data...
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