Transformative approaches to disaster risk reduction: social, societal, and environmental contributions to post-disaster capacity building

• Type: Article in International Scientific Journal
• Date: 2024

Authors

Paton, Douglas (Author) Other; Buergelt, Petra T. (Author) Other; Becker, Julia S. (Author) Other; Doyle, Emma E. H. (Author) Other; Jang, Li-ju (Author) Other; Johnston, David M. (Author) Other; Tedim, Fantina (Author) FLUP

Journal

Title: Australasian Journal of Disaster and Trauma Studies

Vol. 28 No. 1

Pages: 3-18

ISSN: 1174-4707

Publisher: Massey University

Indexing

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Other information

Abstract (EN): This paper discusses whether Community Engagement Theory (CET) could be augmented in ways that afford opportunities to develop a framework for understanding how emergent change and transformative learning can occur in disaster response and recovery settings. The foundation for doing so derives from appreciating that CET describes process theory that comprises variables representing adaptive capacities. That is, the presence of these capacities enables people to adapt to any set of circumstances, particularly when people are called upon to make decisions and to act during conditions of uncertainty. This approach builds on the potential for variables such as community participation, collective efficacy, and empowerment to provide a social context for people to formulate and enact strategies to support their recovery and to be able to do so when interacting with government, non-government, and business entities. However, based on a critical comparative analysis of relevant research into post-disaster emergent and transformational shifts in community capacity, it is argued that the above variables need to be augmented. The paper discusses the rationale for including factors such as community leadership, governance, place attachment, and city identity in an augmented conceptual transdisciplinary transformative learning Disaster Risk Reduction (DRR) model. The function of this model is consistent with the Sendai Framework for DRR Priority 4, Building Back Better goal.

Language: Dutch

Type (Professor's evaluation): Scientific