Articles | Volume 21, issue 9
Nat. Hazards Earth Syst. Sci., 21, 2811–2828, 2021
https://doi.org/10.5194/nhess-21-2811-2021
Nat. Hazards Earth Syst. Sci., 21, 2811–2828, 2021
https://doi.org/10.5194/nhess-21-2811-2021

Research article 14 Sep 2021

Research article | 14 Sep 2021

Longitudinal survey data for diversifying temporal dynamics in flood risk modelling

Elena Mondino et al.

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Cited articles

Alderman, H., Behrman, J., Watkins, S., Kohler, H.-P., and Maluccio, J. A.: Attrition in Longitudinal Household Survey Data, Demogr. Res., 5, 79–124, https://doi.org/10.4054/demres.2001.5.4, 2001. 
Aldrete, G. S.: Floods of the Tiber in Ancient Rome, The John Hopkins University Press, Baltimore, MD, 2007. 
Amponsah, W., Ayral, P.-A., Boudevillain, B., Bouvier, C., Braud, I., Brunet, P., Delrieu, G., Didon-Lescot, J.-F., Gaume, E., Lebouc, L., Marchi, L., Marra, F., Morin, E., Nord, G., Payrastre, O., Zoccatelli, D., and Borga, M.: Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods, Earth Syst. Sci. Data, 10, 1783–1794, https://doi.org/10.5194/essd-10-1783-2018, 2018. 
Babcicky, P. and Seebauer, S.: The two faces of social capital in private flood mitigation: opposing effects on risk perception, self-efficacy and coping capacity, J. Risk Res., 20, 1017–1037, https://doi.org/10.1080/13669877.2016.1147489, 2017. 
Barendrecht, M. H., Viglione, A., Kreibich, H., Merz, B., Vorogushyn, S., and Blöschl, G.: The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model, Water Resour. Res., 55, 1312–1336, https://doi.org/10.1029/2018WR024128, 2019. 
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Survey data collected over time can provide new insights on how different people respond to floods and can be used in models to study the complex coevolution of human–water systems. We present two methods to collect such data, and we compare the respective results. Risk awareness decreases only for women, while preparedness takes different trajectories depending on the damage suffered. These results support a more diverse representation of society in flood risk modelling and risk management.
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