Based on a literature review and two case studies,this article presents the difficulties inherent in the main disaster risk reduction conceptual models.The method used to highlight such evidence is to compare two prog...Based on a literature review and two case studies,this article presents the difficulties inherent in the main disaster risk reduction conceptual models.The method used to highlight such evidence is to compare two programs on disaster risk reduction with mainstream conceptual models.The authors participated in these programs,which were confronted with the need to integrate contributions and insights from both earth and social sciences.Our analysis found that the existing main conceptual models were unable to do justice to disaster risk reduction needs.This finding encouraged us to critique these models.Further effort led us to present possible solutions to compensate for the shortcomings of current models while taking into account the contextualization and dynamics of phenomena,as well as grappling with the more explicit integration of hazards and hazard risk into model design.展开更多
基金the Geo Ris CA project(Contract No.SD/RI/02A)financed by the program"Science for Sustainable Development"of the Belgian Science Policythe SF INTERREG program(Swiss-French interregional cooperation programme)cofinanced by the European Union and the Swiss Confederation。
文摘Based on a literature review and two case studies,this article presents the difficulties inherent in the main disaster risk reduction conceptual models.The method used to highlight such evidence is to compare two programs on disaster risk reduction with mainstream conceptual models.The authors participated in these programs,which were confronted with the need to integrate contributions and insights from both earth and social sciences.Our analysis found that the existing main conceptual models were unable to do justice to disaster risk reduction needs.This finding encouraged us to critique these models.Further effort led us to present possible solutions to compensate for the shortcomings of current models while taking into account the contextualization and dynamics of phenomena,as well as grappling with the more explicit integration of hazards and hazard risk into model design.
