Economic Assessment of Mitigating Damage of Flood Events: Cost–Benefit Analysis of Flood-Proofing Commercial Buildings in Umbria, Italy
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Floods are among the costliest natural disasters worldwide. Integrated flood risk management approaches involving both public and private measures have been proposed to cope with trends in flood risk. These approaches are hampered by a lack of information about the cost-effectiveness of private flood damage mitigation measures. This study examines the economic desirability of flood-proofing different types of commercial buildings in Umbria, which is a flood-prone region in Europe. A cost–benefit analysis (CBA) is applied, which uses empirical information on flood damages to a variety of commercial activities. The CBA accounts for a diversity of uncertainties, including those of flood damage statistics and related flood-proofing benefits derived from bootstrap methods. Results show that, on average, dry flood-proofing is economically attractive for certain categories of commercial buildings. The flood probability and uncertainty of damage are key factors driving CBA results. Implications of our findings for policymakers and insurers are discussed.
Keywordsclimate risk cost–benefit analysis flood risk risk prevention uncertainty
This Research was funded by the European Commission IDEA Project G.A.N. ECHO/SUB/2014/694469 H2020—Prevention and Preparedness in Civil Protection.
- Berni, N., Brocca, L., Giustarini, L., Pandolfo, C., Stelluti, M., Melone, F. and Moramarco, T. (2009) ‘Coupling hydrologic and hydraulic modelling for reliable flood risk mitigation activities in the upper-medium Tiber River Basin’, Geophysical Research Abstracts 11.Google Scholar
- Chenick, M. (2008) Bootstrap Methods: A Guide for Practitioners and Researchers, 2nd edn, New York: Wiley.Google Scholar
- Coles, S. (2001) An Introduction to Statistical Modeling of Extreme Values. Springer Series on Statistics, London: Springer.Google Scholar
- Efron, B. and Tibshirani, R. (1994) An Introduction to the Bootstrap. Monographs on Statistics and Applied Probability, New York: Chapman and Hall/CRC.Google Scholar
- Giudice, V. (2015) ‘Danni indiretti e polizze D&0 al centro dell’attenzione delle Delegazioni Aiba,’ Broker 164: 34–36.Google Scholar
- Grandori, G. (1982) ‘Cost benefit analysis in seismic engineering’, in Report Presented at the VII European Conference on Seismic Engineering, Athens, September.Google Scholar
- Hall, P. (2013) The Bootstrap and Edgeworth Expansion, New York: Springer.Google Scholar
- IPCC (2012) Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation—Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, Cambridge: Cambridge University Press.Google Scholar
- IPCC (2014) Climate Change 2014: Synthesis Report—Fifth Assessment Report of the Intergovernmental Panel on Climate Change, New York: Cambridge University Press.Google Scholar
- I.Stat. (2016) Istat Statistics, from http://dati.istat.it/?lang=en, accessed 19 July 2016.
- Kunreuther, H.C. (2008) ‘Reducing losses from catastrophe risks through long-term insurance and mitigation’, Social Research 75(3): 905–932.Google Scholar
- Menoni, S. (2012) ‘Cost benefit analysis in seismic engineering: Present and future challenges moving from Grandori’s contribution to the issue dating back to 1982,’ in Proceedings of the Workshop in honor and memory of Giuseppe Grandori, Milano: Polipress, pp 403–407.Google Scholar
- Munich RE (2016) Natural Catastrophes 2015: Analyses, Assessments, Positions, Munich: Munich RE.Google Scholar
- Paudel, Y., Botzen, W.J.W. and Aerts, J.C.J.H. (2013) ‘Estimation of insurance premiums for coverage against natural disaster risk: An application of Bayesian inference’, Natural Hazards and Earth System Sciences 13(3): 1–18.Google Scholar
- Pesaro, G. (2007) ‘Prevention and mitigation of the territorial impacts of natural hazards: The contribution of economic and public–private cooperation instruments’, in T. Aven and J.E. Vinnem (eds) Risk, Reliability and Societal Safety—Specialisation Topics, Vol. 1, London: Taylor and Francis.Google Scholar
- UVAL (2014) Strategy for Inner Areas in Italy: Definition, Objectives, Tools and Governance. The UVAL Series, Rome.Google Scholar
- Wiggins, T. (2016) International construction intelligence: Prospects for global construction, from https://www.fgould.com/americas/articles/construction-intelligence-prospects-global/, https://www.fgould.com/americas/articles/international-construction-intelligence-usbase-13/, accessed 11 June 2016.