Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5329-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The role of household adaptation measures in reducing vulnerability to flooding: a coupled agent-based and flood modelling approach
Yared Abayneh Abebe
CORRESPONDING AUTHOR
Environmental Engineering and Water Technology Department, IHE Delft Institute for Water Education, Westvest 7, 2601 DA, Delft, the Netherlands
Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, 2629 HZ, Delft, the Netherlands
Amineh Ghorbani
Faculty of Technology, Policy and Management, Delft University of
Technology, Jaffalaan 5, 2628 BX, Delft, the Netherlands
Igor Nikolic
Faculty of Technology, Policy and Management, Delft University of
Technology, Jaffalaan 5, 2628 BX, Delft, the Netherlands
Natasa Manojlovic
River and Coastal Engineering, Hamburg University of Technology,
Denickestraße 22 (I), 21073 Hamburg, Germany
Angelika Gruhn
River and Coastal Engineering, Hamburg University of Technology,
Denickestraße 22 (I), 21073 Hamburg, Germany
Zoran Vojinovic
Environmental Engineering and Water Technology Department, IHE Delft Institute for Water Education, Westvest 7, 2601 DA, Delft, the Netherlands
Center for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK
Faculty of Civil Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, 11000 Belgrade, Serbia
Department of Hydraulic and Ocean Engineering, National Cheng Kung
University, No. 1 University Road, Tainan, Taiwan
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Cited
12 citations as recorded by crossref.
- The near-miss effect in flood risk estimation: A survey-based approach to model private mitigation intentions into agent-based models A. Bogani et al. 10.1016/j.ijdrr.2023.103629
- Framework for considering the interactions between climate change, socio-economic development and land use planning in the assessment of future flood risk E. Hamers et al. 10.1016/j.envsoft.2023.105886
- Personal factors influencing emergency evacuation decisions under different flash flood characteristics R. Zhang et al. 10.1007/s11069-024-06982-7
- A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology A. Fischer et al. 10.3389/frwa.2021.730169
- Decision Analysis of the Adaptation of Households to Extreme Floods Using an Extended Protection Motivation Framework—A Case Study from Ethiopia M. Baylie & C. Fogarassy 10.3390/land11101755
- An Index-Based Approach to Assess Social Vulnerability for Hamburg, Germany M. von Szombathely et al. 10.1007/s13753-023-00517-7
- Flood–pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study M. Shirvani & G. Kesserwani 10.5194/nhess-21-3175-2021
- Climate Change and Urban Resilience in Smart Cities: Adaptation and Mitigation Strategies in Brazil and Germany R. Bichueti et al. 10.3390/urbansci9050179
- Household-specific barriers to citizen-led flood risk adaptation B. Howard et al. 10.1038/s44168-024-00198-y
- An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework C. Lin et al. 10.1016/j.envsoft.2022.105451
- Assessment of impacts of flood and coping strategies among rural households in Gicumbi district, Rwanda A. Uwayisenga et al. 10.1088/2515-7620/ad4e10
- A Review of Climate Adaptation Impacts and Strategies in Coastal Communities: From Agent-Based Modeling towards a System of Systems Approach C. Lawyer et al. 10.3390/w15142635
11 citations as recorded by crossref.
- The near-miss effect in flood risk estimation: A survey-based approach to model private mitigation intentions into agent-based models A. Bogani et al. 10.1016/j.ijdrr.2023.103629
- Framework for considering the interactions between climate change, socio-economic development and land use planning in the assessment of future flood risk E. Hamers et al. 10.1016/j.envsoft.2023.105886
- Personal factors influencing emergency evacuation decisions under different flash flood characteristics R. Zhang et al. 10.1007/s11069-024-06982-7
- A Systematic Review of Spatial-Temporal Scale Issues in Sociohydrology A. Fischer et al. 10.3389/frwa.2021.730169
- Decision Analysis of the Adaptation of Households to Extreme Floods Using an Extended Protection Motivation Framework—A Case Study from Ethiopia M. Baylie & C. Fogarassy 10.3390/land11101755
- An Index-Based Approach to Assess Social Vulnerability for Hamburg, Germany M. von Szombathely et al. 10.1007/s13753-023-00517-7
- Flood–pedestrian simulator for modelling human response dynamics during flood-induced evacuation: Hillsborough stadium case study M. Shirvani & G. Kesserwani 10.5194/nhess-21-3175-2021
- Climate Change and Urban Resilience in Smart Cities: Adaptation and Mitigation Strategies in Brazil and Germany R. Bichueti et al. 10.3390/urbansci9050179
- Household-specific barriers to citizen-led flood risk adaptation B. Howard et al. 10.1038/s44168-024-00198-y
- An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework C. Lin et al. 10.1016/j.envsoft.2022.105451
- Assessment of impacts of flood and coping strategies among rural households in Gicumbi district, Rwanda A. Uwayisenga et al. 10.1088/2515-7620/ad4e10
Latest update: 03 Nov 2025
Short summary
The paper presents a coupled agent-based and flood model for Hamburg, Germany. It explores residents’ adaptation behaviour in relation to flood event scenarios, economic incentives and shared and individual strategies. We found that unique trajectories of adaptation behaviour emerge from different flood event series. Providing subsidies improves adaptation behaviour in the long run. The coupled modelling technique allows the role of individual measures in flood risk management to be examined.
The paper presents a coupled agent-based and flood model for Hamburg, Germany. It explores...