Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3485–3500, 2020
Nat. Hazards Earth Syst. Sci., 20, 3485–3500, 2020

Research article 17 Dec 2020

Research article | 17 Dec 2020

Dynamic maps of human exposure to floods based on mobile phone data

Matteo Balistrocchi et al.

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Cited articles

Agrawal, R., Gehrke, J., Gunopulos, D., and Raghavan, P.: Automatic subspace clustering of high dimensional data for data mining applications, in: Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, ACM Press, 1–4 June 1998, Seattle, Washington, USA, 94–105,, 1998. 
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Arrighi, C., Pregnolato, M., Dawson, R. J., and Castelli, F.: Preparedness against mobility disruption by floods, Sci. Total Environ., 654, 1010–1022., 2019. 
Balistrocchi, M., Grossi, G., and Bacchi, B.: Deriving a practical analytical-probabilistic method to size flood routing reservoirs, Adv. Water Resour., 62, 37–46,, 2013. 
Balistrocchi, M., Moretti, G., Orlandini, S., and Ranzi, R.: Copula-based modelling of earthen levee breach due to overtopping, Adv. Water Resour., 134, 103443,, 2019. 
Short summary
Flood risk is an increasing threat to urban communities and their strategical assets worldwide. Non-structural practices, such as emergency management plans, can be effective in order to decrease the flood risk in strongly urbanized areas. Mobile phone data provide reliable estimates of the spatiotemporal variability in people exposed to flooding, thus enhancing the preparedness of stakeholders involved in flood risk management. Further, practical advantages emerge with respect to crowdsourcing.
Final-revised paper