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Identifying and classifying broader scale of disaster impacts to better inform disaster management policies and practice

Author

Listed:
  • Kishani Priyangi Tennakoon

    (The University of Waikato)

  • Silvia Serrao-Neumann

    (The University of Waikato)

  • Raven Cretney

    (The University of Waikato)

Abstract

Disasters are often assessed by factors such as their magnitude, severity and impact on affected communities. Typically, disaster management policies are largely informed by learnings from large-scale disasters. Many studies, however, have shown that cumulative smaller scale disaster impacts have similar outcomes comparable to larger scale disasters. This indirectly contributes to a lack of consistency in and paucity of data related to both smaller-scale disasters and their associated cumulative impacts. This paper argues that greater attention needs to be paid to collecting disaster impact data on a range of disaster-scale events along with their cumulative impacts to better inform disaster management policies and practice. The paper aims to test the hypothesis that a better understanding of a wide range of disaster scale types and their impacts on communities, including small-scale disasters, enables the development of more just, consistent and equitable disaster management policies and practice. Analysing economic costs, evacuation and rainfall data from past flood events that affected Aotearoa-New Zealand over the last three decades, the paper found discrepancies and lack of coherence in disaster data collection and reporting, along with a predominant reliance on rainfall intensity data for disaster risk reduction and planning. The findings also confirmed the importance of identifying economic damages for a range of disaster scales, including those from small-scale disasters. This highlights the need for developing a spectrum to better classify and identify disaster impacts based on various spatial and temporal contexts. The paper concludes by affirming that such database would provide much needed evidence for developing a methodology that enables the identification of the level of disaster impacts; thereby guiding the implementation of more just, consistent and equitable disaster management policies and practice.

Suggested Citation

  • Kishani Priyangi Tennakoon & Silvia Serrao-Neumann & Raven Cretney, 2025. "Identifying and classifying broader scale of disaster impacts to better inform disaster management policies and practice," 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. 121(3), pages 3559-3579, February.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:3:d:10.1007_s11069-024-06707-w
    DOI: 10.1007/s11069-024-06707-w
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    References listed on IDEAS

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    1. Russell Blong, 2003. "A Review of Damage Intensity Scales," 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. 29(1), pages 57-76, May.
    2. Baker, Daniel & Refsgaard, Karen, 2007. "Institutional development and scale matching in disaster response management," Ecological Economics, Elsevier, vol. 63(2-3), pages 331-343, August.
    3. Martin Voss & Klaus Wagner, 2010. "Learning from (small) disasters," 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. 55(3), pages 657-669, December.
    4. Kylie Mason & Kirstin Lindberg & Carolin Haenfling & Allan Schori & Helene Marsters & Deborah Read & Barry Borman, 2021. "Social Vulnerability Indicators for Flooding in Aotearoa New Zealand," IJERPH, MDPI, vol. 18(8), pages 1-31, April.
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