{"title":"The adaptive shift: Embracing complexity in disaster and emergency management","authors":"Todd Miller, Loic Le Dé, Katherine Hore","doi":"10.1016/j.ijdrr.2025.105323","DOIUrl":null,"url":null,"abstract":"<div><div>Disaster and Emergency Management (DEM) systems are increasingly challenged by the complexity and interconnectedness of today's DEM environment. While rigid, phased-based approaches to DEM provide valuable structural frameworks, they often fail in addressing the dynamic, non-linear, and unpredictable nature of contemporary disasters. This paper critically examines key challenges in DEM, including non-linearity, complexity, and the coordination of diverse actors and organisations. It advocates for a shift towards adaptive, interconnected systems that better align with the realities of complex disasters. To this end, the paper introduces the Complex Adaptive DEM (CADEM) Framework, a new conceptual framework grounded in Complex Adaptive Systems (CAS) theory. This framework emphasises decentralised decision-making, interorganisational collaboration, and emergent behaviours as mechanisms to enhance the adaptability and resilience of DEM systems. By reframing DEM as a networked and adaptive system, CADEM provides a pathway for navigating the multifaceted challenges of contemporary disasters.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105323"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925001475","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Disaster and Emergency Management (DEM) systems are increasingly challenged by the complexity and interconnectedness of today's DEM environment. While rigid, phased-based approaches to DEM provide valuable structural frameworks, they often fail in addressing the dynamic, non-linear, and unpredictable nature of contemporary disasters. This paper critically examines key challenges in DEM, including non-linearity, complexity, and the coordination of diverse actors and organisations. It advocates for a shift towards adaptive, interconnected systems that better align with the realities of complex disasters. To this end, the paper introduces the Complex Adaptive DEM (CADEM) Framework, a new conceptual framework grounded in Complex Adaptive Systems (CAS) theory. This framework emphasises decentralised decision-making, interorganisational collaboration, and emergent behaviours as mechanisms to enhance the adaptability and resilience of DEM systems. By reframing DEM as a networked and adaptive system, CADEM provides a pathway for navigating the multifaceted challenges of contemporary disasters.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.