A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior
By P. Bubeck, W. Botzen, Jeroen C. J. H. Aerts. Risk Analysis, 2012
1,127 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/d0eff319b514d271b96de5d769c330f5a45d5139
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- P. Janmaimool
- M. Frondel
- Michael Simora
- Stephan Sommer
- Binh Thai Pham
- Vijay P. Singh
- D. Tien Bui
- Khabat Khosravi
In Global and Planetary Change
- Khabat Khosravi
- Ataollah Shirzadi
- Binh Thai Pham
- Himan Shahabi
- D. Tien Bui
- Kamran Chapi
- P. Janmaimool
- M. Frondel
In Sociology and Political Science
- Rachel I. McDonald
- Ben R. Newell
- M. Brewer
- Brett K. Hayes
- Belinda Xie
- P. Janmaimool
- M. Frondel
- Michael Simora
Citations in the corpus
- Disaster awareness and information seeking behaviour among residents from low socio-economic backgrounds (2018, background): “Wouter Botzen and 113 Van Den Bergh [29], on the other hand, found a marginal positive relationship between income and 114 mitigation and preparedness strategies (insurance demand) (See Bubeck, Botzen [27].”
- Models of best practice in flood risk communication and management (2014, background): “, 2009), social class and education are strongly correlated with higher levels of awareness of flood risk and knowledge of how best to respond to it (Bubeck et al., 2012).”
- A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017, background): “Flood prediction decreases flood-related fatalities and associated economic losses (Bubeck et al., 2012), and delineation of flood prone areas is a key element in any flood alleviation strategy (Sarhadi et al., 2012).”
- Understanding Public Hurricane Evacuation Decisions and Responses to Forecast and Warning Messages (2016, background): “…against the threat) and self-efficacy (beliefs about one’s ability to perform an activity), can influence protective decisions (e.g., Rogers 1983; Witte 1992, 1994; Loewenstein et al. 2001; Ruiter et al. 2001; Slovic et al. 2004; Grothmann and Reusswig 2006; McComas 2006; Bubeck et al. 2012).”
- Application of Protection Motivation Theory to Investigate Sustainable Waste Management Behaviors (2017, result): “This finding is in line with the results of prior studies [37,50,51].”
- Review article: assessing the costs of natural hazards - state of the art and knowledge gaps (2013, background): “Since the contribution of households to damage reduction has gained increasing importance in contemporary integrated risk management strategies (e.g. Bubeck et al., 2012), special attention should be paid to integrate resistance parameters in cost assessments (see e.g. Holub et al., 2012).”
- Living with Floods: Protective Behaviours and Risk Perception of Vietnamese Households (2013, background): “15 Bubeck et al. (2012a). 16 Historically, the first application of the PMT was for health risks (Floyd et al.”
- Risk perception of climate change: Empirical evidence for Germany (2017, methodology): “The timing of these information campaigns should be shortly after adverse natural events, as studies have shown that the immediacy of experience - either direct or indirect through media coverage - is important, as the negative imagery of the consequences of natural hazards soon fades away in people”
- Predicting climate change risk perception and willingness to act (2019, background): “For example, Bubeck, Botzen, and Aerts (2012) conclude that risk perception does not necessarily lead to flood mitigation behaviour.”
- Determinants and Measurement of Climate Change Risk Perception, Worry, and Concern (2017, background): “) To the extent that this is due to differences in measurement, there is some evidence to suggest that when risk perception is operationalized as personal worry, it bears a stronger relationship to behavioral measures (Bubeck et al., 2012; Smith & Leiserowitz, 2014).”