Your browser doesn't support javascript.
loading
Mental models for inclusive, socially-just disaster planning: a multi-community study in Saint Martin after Hurricane Irma.
Frapaise, Laurent; Furman, Kelsi; Scyphers, Steven B; Kuhl, Laura.
Afiliação
  • Frapaise L; School of Public Policy & Urban Affairs and International Affairs Program, Northeastern University, Boston, MA.
  • Furman K; Department of Marine & Environmental Sciences, Northeastern University, Nahant, MA.
  • Scyphers SB; Department of Marine & Environmental Sciences, Northeastern University, Nahant, MA.
  • Kuhl L; Department of Marine & Environmental Sciences, Northeastern University, Nahant, MA.
Disasters ; : e12627, 2024 Jun 05.
Article em En | MEDLINE | ID: mdl-38840514
ABSTRACT
Local perspectives provide different insights into disaster planning and response as compared to those of experts. Eliciting them, however, can be challenging, particularly for marginalised groups whose viewpoints have historically been excluded from planning processes. Fuzzy cognitive mapping (FCM) provides a semi-quantitative approach to representing the collective understanding or 'mental models' of diverse individuals and communities. This study involved 23 FCM interviews across three neighbourhoods of Saint Martin to comprehend (i) how individuals' mental models of Hurricane Irma (2017) differ based on their context; (ii) how aligned mental models are with policy and planning documents; and (iii) the implications for the inclusiveness and representativeness of disaster response policies. It found that the residents of different neighbourhoods provided unique insights into the factors driving the social-ecological system, and that official policies aligned closely with priorities. The paper argues that the inclusion of the perspectives of different groups in disaster recovery is essential for an equitable process.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Disasters Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Marrocos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Disasters Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Marrocos