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 language | English |
|---|---|
| Article number | 106030 |
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| Journal | iScience |
| Volume | 26 |
| Issue number | 3 |
| Early online date | 25 Jan 2023 |
| DOIs | |
| Publication status | Published - 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
Funding
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 ). 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.
| Funders | Funder number |
|---|---|
| Horizon 2020 | |
| Horizon 2020 Framework Programme | 820712, 101003276 |
| MYRIAD-EU | 101003276 |
| European Cooperation in Science and Technology | CA17109 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
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SDG 13 Climate Action
Keywords
- Decision science
- Earth sciences
- Social sciences
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