Consideration of compound drivers and impacts in the disaster risk reduction cycle

Bart J.J.M. van den Hurk*, Christopher J. White, Alexandre M. Ramos, Philip J. Ward, Olivia Martius, Indiana Olbert, Kathryn Roscoe, Henrique M.D. Goulart, Jakob Zscheischler

*Corresponding author for this work

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

Consideration of compound drivers and impacts are often missing from applications within the Disaster Risk Reduction (DRR) cycle, leading to poorer understanding of risk and benefits of actions. The need to include compound considerations is known, but lack of guidance is prohibiting practitioners from including these considerations. This article makes a step toward practitioner guidance by providing examples where consideration of compound drivers, hazards, and impacts may affect different application domains within disaster risk management. We discern five DRR categories and provide illustrative examples of studies that highlight the role of “compound thinking” in early warning, emergency response, infrastructure management, long-term planning, and capacity building. We conclude with a number of common elements that may contribute to the development of practical guidelines to develop appropriate applications for risk management.

Original languageEnglish
Article number106030
Pages (from-to)1-12
Number of pages12
JournaliScience
Volume26
Issue number3
Early online date25 Jan 2023
DOIs
Publication statusPublished - 17 Mar 2023

Bibliographical note

Funding Information:
This article is based upon work from COST Action DAMOCLES, CA17109 , supported by COST (European Cooperation in Science and Technology). B.J.J.M.v.d.H. and H.M.D.G. received funding from the European Union’s Horizon 2020 research and innovation program, under the project RECEIPT (grant agreement no. 820712 ). P.J.W. received funding from the European Union’s Horizon 2020 research and innovation program, under the project MYRIAD-EU (grant agreement no. 101003276 ).

Funding Information:
This article is based upon work from COST Action DAMOCLES, CA17109, supported by COST (European Cooperation in Science and Technology). B.J.J.M.v.d.H. and H.M.D.G. received funding from the European Union's Horizon 2020 research and innovation program, under the project RECEIPT (grant agreement no. 820712). P.J.W. received funding from the European Union's Horizon 2020 research and innovation program, under the project MYRIAD-EU (grant agreement no. 101003276). All authors except K.R. and H.M.D.G. participated in a multi-day scoping workshop of this subject, led by B.J.J.M.v.d.H. and P.J.W. B.J.J.M.v.d.H. was the coordinating author for this study. Case study collection was carried out by C.J.W. A.M.R. P.J.W. O.M. I.O. and J.Z. B.J.J.M.v.d.H. and K.R. conceived the structure of Figure 1 and Table 1, while H.M.D.G. collected and analyzed most of the entries in Table 1. The authors declare no competing interests.

Publisher Copyright:
© 2023 The Authors

Keywords

  • Decision science
  • Earth sciences
  • Social sciences

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