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The effectiveness of flood risk communication strategies and the influence of social networks—Insights from an agent-based model
Institution:1. LWB Environmental Services, Inc., 1620 New London Rd., Hamilton, OH 45013, USA;2. Veritas Economic Consulting, 1851 Evans Road, Cary, NC 27513, USA;3. Veritas Economic Consulting, 1851 Evans Road, Cary, NC 27513, USA;1. Auburn University Montgomery, United States;2. Princeton University, United States;3. Carnegie Mellon University, United States;1. Institute for Environmental Studies (IVM), VU University Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands;2. Amsterdam Global Change Institute (AGCI), VU University Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands
Abstract:Flood risk management is becoming increasingly important, because more people are settling in flood-prone areas, and flood risk is increasing in many regions due to extreme weather events associated with climate change. It has been proposed that appropriately designed flood risk communication campaigns can stimulate floodplain inhabitants to prepare for flooding, and encourage adaptation to climate change. However, such campaigns do not always result in the desired action, and the effectiveness of communication in raising flood risk awareness and improving flood preparedness has hardly been studied. We evaluate different flood risk communication strategies, using an agent-based modelling approach, which is especially suitable for examining the effect of communication on each individual, and how flood risk communication can propagate through an individual’s social network. Our modelling results show that tailored, people-centred, flood risk communication can be significantly more effective than the common approach of top-down government communication, even when tailored communication reaches fewer individuals. Furthermore, communication on how to protect against floods, in addition to providing information about flood risk, is much more effective than the traditional strategy of communicating only about flood risk. Another main finding is that a person’s social network can have a significant effect on whether or not individuals take protective action. This leads to the recommendation that flood risk communication should aim at exploiting this natural amplifying effect of social networks, for instance, through the use of social media.
Keywords:Adaptation  Agent-based modelling  Floods  Protection motivation theory  Risk communication  Social networks
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