Measuring flood protection benefits
Natural hazardsArticleSeptember 24, 2014
It’s important to weigh the benefits of protecting against floods relative to the costs. A study by the Zurich flood resilience alliance looks at ways to approach this issue. Along with real-life examples, it explains why ‘intangibles’ like culture and social bonds must be included in any equation if protection efforts are to succeed.
Making the case for pre-event disaster risk reduction
Large-scale flood disasters in recent years vividly demonstrate the need to invest in risk reduction measures before such events happen. It can be difficult, however, for a community to decide to invest in such measures, as these decisions usually involve several options and multiple stakeholders with different short- and long-term objectives and priorities. As a result, intense discussions often produce little real progress, or there is simply a return to the status quo.
A variety of decision-support tools are available to organize and evaluate options, which can assist in making the case for pre-event risk reduction to flooding and other hazards. Among these tools, the most widely-used for assessing flood risk reduction measures is cost-benefit analysis (CBA). Other tools that can be used to aid decision making include cost-effectiveness analysis (CEA), multi-criteria analysis (MCA) and robust decision-making approaches (RDMA).
In this issue brief we outline three key findings that provide information for research, policy, and implementing decisions on reducing flood risk. The analysis provides a foundation for work under the Zurich flood resilience alliance, allowing it to integrate a decision-support toolbox for community activities focused on implementing flood risk reduction in different parts of the world. This publication is based on a white paper developed by two members of the alliance, the International Institute for Applied Systems Analysis (IIASA) and the Wharton School’s Risk Management and Decision Processes Center at the University of Pennsylvania (Wharton).
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