Articles | Volume 18, issue 7
Research article
27 Jul 2018
Research article |  | 27 Jul 2018

Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy)

Francesca Carisi, Kai Schröter, Alessio Domeneghetti, Heidi Kreibich, and Attilio Castellarin

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Cited articles

Agenzia delle Entrate: Banca dati delle quotazioni immobiliari (Real estate quotation database),, last access: July 2018. a
Amadio, M., Mysiak, J., Carrera, L., and Koks, E.: Improving flood damage assessment models in Italy, Nat. Hazards, 82, 2075–2088,, 2016. a, b, c, d, e, f
Apel, H., Aronica, G. T., Kreibich, H., and Thieken, A. H.: Flood risk analyses – How detailed do we need to be?, Nat. Hazards, 49, 79–98,, 2009. a, b, c
Arrighi, C., Brugioni, M., Castelli, F., Franceschini, S., and Mazzanti, B.: Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data, Nat. Hazards Earth Syst. Sci., 13, 1375–1391,, 2013. a
Ballio, F., Molinari, D., Minucci, G., Mazuran, M., Arias Munoz, C., Menoni, S., Atun, F., Ardagna, D., Berni, N., and Pandolfo, C.: The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods, J. Flood Risk Manage., 11, S604–S615,, 2015. a, b
Short summary
By analyzing a comprehensive loss dataset of affected private households after a recent river flood event in northern Italy, we tackle the problem of flood damage estimation in Emilia-Romagna (Italy). We develop empirical uni- and multivariable loss models for the residential sector. Outcomes highlight that the latter seem to outperform the former and, in addition, results show a higher accuracy of univariable models based on local data compared to literature ones derived for different contexts.
Final-revised paper