The behavior of individuals, businesses, and government entities before, during, and immediately after a disaster can dramatically affect the impact and recovery time. However, existing risk-assessment methods rarely include this critical factor. In this Perspective, we show why this is a concern, and demonstrate that although initial efforts have inevitably represented human behavior in limited terms, innovations in flood-risk assessment that integrate societal behavior and behavioral adaptation dynamics into such quantifications may lead to more accurate characterization of risks and improved assessment of the effectiveness of riskmanagement strategies and investments. Such multidisciplinary approaches can inform flood-risk management policy development.
London WC1H 9EZThis article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1111/jfr3.12127
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AbstractFlooding is the largest natural disaster risk in England and it is expected to rise even further with a changing climate. Agreeing on how we pay for this now and in the future is a challenge, with competing drivers such as fairness, economic efficiency, political feasibility and public acceptance all playing their part. We investigate this in the context of recent efforts to reform the provision of flood insurance, which have been debated between government and industry over the last three years. Recognising the challenge of rising losses and increasing costs we are particularly interested in how the existing arrangement and the new flood insurance proposal (Flood Re) reflect on the need for physical risk reduction.By applying our analytical framework we find an absence of formal incentive mechanisms for risk reduction in the existing and proposed Flood Re scheme. We identify the barriers for applying insurance to risk reduction and point to some possible modifications in the Flood Re proposal to deliver a greater link between risk transfer and risk reduction. Our investigation offers some insights into the challenges of designing and implementing flood insurance schemes -a task that is currently being considered in a range of countries, including several developing countries, who hope to apply flood insurance as a tool to increase their climate resilience.
Climate change and increasing urbanization are projected to result in an increase in surface water flooding and consequential damages in the future. In this paper, we present insights from a novel Agent Based Model (ABM), applied to a London case study of surface water flood risk, designed to assess the interplay between different adaptation options; how risk reduction could be achieved by homeowners and government; and the role of flood insurance and the new flood insurance pool, Flood Re, in the context of climate change. The analysis highlights that while combined investment in property-level flood protection and sustainable urban drainage systems reduce surface water flood risk, the benefits can be outweighed by continued development in high risk areas and the effects of climate change. In our simulations, Flood Re is beneficial in its function to provide affordable insurance, even under climate change. However, the scheme does face increasing financial pressure due to rising surface water flood damages. If the intended transition to risk-based pricing is to take place then a determined and coordinated strategy will be needed to manage flood risk, which utilises insurance incentives, limits new development, and supports resilience measures. Our modelling approach and findings are highly relevant for the ongoing regulatory and political approval process for Flood Re as well as for wider discussions on the potential of insurance schemes to incentivise flood risk management and climate adaptation in the UK and internationally.
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