A Prudence-Based Framework for Ethical Disaster Risk Management
Paul Chipangura , Dewald Van Niekerk , Fortune Mangara , Pathias Paradzai Bongo
International Journal of Disaster Risk Science ›› : 1 -12.
Current disaster risk management (DRM) frameworks promote risk-informed decision making, resilience building, and multi-stakeholder collaboration, illustrating their continued relevance and dominance in addressing disaster risks. However, they often lack comprehensive ethical guidance for decision making under uncertainty, leading to systemic failures in foresight and inequitable outcomes. To bridge this gap, this article introduces a prudence-based DRM framework rooted in foresight, moral reflection, and ethical responsibility as essential principles for decision making. Drawing from classical philosophy, particularly Aristotle’s phronēsis and Aquinas’s prudentia, prudence is described as a practical virtue that links knowledge with the moral goal of the common good. Through a narrative and scoping review of interdisciplinary literature, three interconnected dimensions are identified: the main types of prudence (political, purificatory, and perfect), the fundamental elements that inform prudent judgment (memory, intelligence, and foresight), and the supporting qualities that uphold moral action (including docility, caution, and cleverness). These interconnected dimensions foster anticipatory, equitable, and inclusive risk governance that prioritizes long-term resilience over reactive, short-sighted actions. The proposed prudence framework redefines DRM as an ethical and political act that combines technical expertise with moral wisdom, ensuring that decisions are both scientifically robust and socially legitimate. By embedding prudence into disaster risk governance, this approach provides a normative foundation for risk-informed, fair, and sustainable decision making, helping institutions manage uncertainty with foresight, compassion, and integrity.
Disaster risk management / Ethics / Framework / Prudence
| [1] |
Agbehadji, I.E., T. Mabhaudhi, J. Botai, and M. Masinde. 2023. A systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems. Climate 11(9): Article 188. |
| [2] |
Aquinas, T. 2021. Summa theologica, Part II-II (Secunda secundae). Phoemixx Classics Ebooks. https://books.google.com/books?id=RJdSEAAAQBAJ. Accessed 30 Nov 2025. |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
Chipangura, P., and D. Van Niekerk. 2025. A critical review of the significance of elitism and pluralism to disaster risk management. Risk, Hazards & Crisis in Public Policy 16(1): Article e12290. |
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
CRED (Centre for Research on the Epidemiology of Disasters). 2023. 2022 disasters in numbers. Brussels, Belgium: CRED. https://cred.be/sites/default/files/2022_EMDAT_report.pdf. Accessed 5 May 2025. |
| [18] |
|
| [19] |
Crosweller, M. 2022. Disaster management leadership and the need for virtue, mindfulness, and practical wisdom. Progress in Disaster Science 16: Article 100248. |
| [20] |
|
| [21] |
|
| [22] |
Dias, N., R. Haigh, D. Amaratunga, and H. Rahayu. 2024. A review of tsunami early warning at the local level – Key actors, dissemination pathways, and remaining challenges. International Journal of Disaster Risk Reduction 101: Article 104195. |
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
Ghosh, A., A. Sen, and M. Frietsch. 2023. “What is a ‘very severe cyclone’ please”? Uncovering knowledge and communication gaps in climate resilience realities. International Journal of Disaster Risk Reduction 86: Article 103499. |
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
Lavell, A., and A. Maskrey. 2014. The future of disaster risk management. Environmental Hazards 13(4): 267–280. |
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
Perera, D., J. Agnihotri, O. Seidou, and R. Djalante. 2020. Identifying societal challenges in flood early warning systems. International Journal of Disaster Risk Reduction 51: Article 101794. |
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
Saunders, K.R., O. Forbes, J.K. Hopf, C.R. Patterson, S.A. Vollert, K. Brown, R. Browning, and M.A. Canizares et al. 2025. Data-driven recommendations for enhancing real-time natural hazard warnings. One Earth 8(5): Article 101274. |
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
Stark, A. 2020. Institutional amnesia and humanitarian disaster management. The Humanitarian Leader, Working Paper 005. https://doi.org/10.21153/thl2020volno0art1022. |
| [57] |
|
| [58] |
|
| [59] |
UNDRR (United Nations Office for Disaster Risk Reduction). 2015. Sendai framework for disaster risk reduction 2015–2030. Geneva: UNDRR. https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030. Accessed 11 Jun 2025. |
| [60] |
UNFCCC (United Nations Framework Convention on Climate Change). 2015. Adoption of the Paris Agreement. FCCC/CP/2015/10/Add.1. United Nations. https://unfccc.int/resource/docs/2015/cop21/eng/l09r01.pdf. Accessed 1 Oct 2025. |
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
The Author(s)
/
| 〈 |
|
〉 |