2022
DOI: 10.1029/2022ef003093
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Toward More Actionable Flood‐Risk Information

Abstract: The increasingly urgent need to develop knowledge and practices to manage flood risks drives innovative information design. However, experts often disagree about design practices. As a result, flood‐risk estimates can diverge, leading to different conclusions for decision‐making. Using examples of household‐scale fluvial (riverine) flood‐risk information in the United States, we assess design features and risk communication approaches that may lead to more actionable information for decision‐making. We argue t… Show more

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Cited by 4 publications
(2 citation statements)
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“…Moreover, resolved data about water quality in premise plumbing opens the opportunity to provide more actionable information to water users. Actionable information is information that is substantial, relevant, and supports one's self-efficacy and decision-making [8][9][10] . Furthermore, individualized water data also provides information that can hold utilities accountable.…”
Section: Background and Summarymentioning
confidence: 99%
“…Moreover, resolved data about water quality in premise plumbing opens the opportunity to provide more actionable information to water users. Actionable information is information that is substantial, relevant, and supports one's self-efficacy and decision-making [8][9][10] . Furthermore, individualized water data also provides information that can hold utilities accountable.…”
Section: Background and Summarymentioning
confidence: 99%
“…We model the behavior of "signing" the first version of the Climate Research Transparency and Openness Commitments in our data, code, and (p)reproducibility statements in this manuscript. With respect to broader open science initiatives and the need for deep transparency in science 30,38,39,49,77,84,95,101,103,106 , we recognize that our perspective takes a relatively narrow focus. We acknowledge that ideal commitments and transformative change requires collective action across the science ecosystem, such as funders, journals, editors, government bodies, and tenure review boards 30,32,38,39,49,50,61,77,[93][94][95]101,103 .…”
mentioning
confidence: 99%