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The challenges of longitudinal surveys in the flood risk domain

Author

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  • Paul Hudson
  • Annegret H. Thieken
  • Philip Bubeck

Abstract

There has been much research regarding the perceptions, preferences, behaviour, and responses of people exposed to flooding and other natural hazards. Cross-sectional surveys have been the predominant method applied in such research. While cross-sectional data can provide a snapshot of a respondent’s behaviour and perceptions, it cannot be assumed that the respondent’s perceptions are constant over time. As a result, many important research questions relating to dynamic processes, such as changes in risk perceptions, adaptation behaviour, and resilience cannot be fully addressed by cross-sectional surveys. To overcome these shortcomings, there has been a call for developing longitudinal (or panel) datasets in research on natural hazards, vulnerabilities, and risks. However, experiences with implementing longitudinal surveys in the flood risk domain (FRD), which pose distinct methodological challenges, are largely lacking. The key problems are sample recruitment, attrition rate, and attrition bias. We present a review of the few existing longitudinal surveys in the FRD. In addition, we investigate the potential attrition bias and attrition rates in a panel dataset of flood-affected households in Germany. We find little potential for attrition bias to occur. High attrition rates across longitudinal survey waves are the larger concern. A high attrition rate rapidly depletes the longitudinal sample. To overcome high attrition, longitudinal data should be collected as part of a multisector partnership to allow for sufficient resources to implement sample retention strategies. If flood-specific panels are developed, different sample retention strategies should be applied and evaluated in future research to understand how much-needed longitudinal surveying techniques can be successfully applied to the study of individuals threatened by flooding.

Suggested Citation

  • Paul Hudson & Annegret H. Thieken & Philip Bubeck, 2020. "The challenges of longitudinal surveys in the flood risk domain," Journal of Risk Research, Taylor & Francis Journals, vol. 23(5), pages 642-663, May.
  • Handle: RePEc:taf:jriskr:v:23:y:2020:i:5:p:642-663
    DOI: 10.1080/13669877.2019.1617339
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    Citations

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    Cited by:

    1. Paul Hudson & Annegret H. Thieken, 2022. "The presence of moral hazard regarding flood insurance and German private businesses," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1295-1319, June.
    2. Kolotylo-Kulkarni, Malgorzata & Marakas, George M. & Xia, Weidong, 2024. "Understanding protective behavior and vaccination adoption among US individuals during the COVID-19 pandemic: A four-wave longitudinal study," Journal of Business Research, Elsevier, vol. 179(C).
    3. Alexander Fekete, 2021. "Motivation, Satisfaction, and Risks of Operational Forces and Helpers Regarding the 2021 and 2013 Flood Operations in Germany," Sustainability, MDPI, vol. 13(22), pages 1-26, November.
    4. repec:cup:judgdm:v:17:y:2022:i:1:p:189-214 is not listed on IDEAS
    5. Jantsje M. Mol & W. J. Wouter Botzen & Julia E. Blasch, 2022. "After the virtual flood: Risk perceptions and flood preparedness after virtual reality risk communication," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 17(1), pages 189-214, January.

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