A system dynamics approach for understanding community resilience to disaster risk

The Western Cape is a dynamic province that is disaster-prone, particularly the vulnerable urban communities in and around its environs. Such communities are more vulnerable to wildfire, flooding, pandemic, natural and human-made hazards because of poverty and, consequently, poor living conditions s...

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Main Authors: Onyekachi J. Onyeagoziri, Corrinne Shaw, Tom Ryan
Format: Article
Language:English
Published: AOSIS 2021-06-01
Series:Jàmbá : Journal of Disaster Risk Studies
Subjects:
Online Access:https://jamba.org.za/index.php/jamba/article/view/1037
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spelling doaj-2272d0a95c6f4e09af2b91fa44d682ed2021-07-02T08:43:11ZengAOSISJàmbá : Journal of Disaster Risk Studies2072-845X1996-14212021-06-01131e1e1110.4102/jamba.v13i1.1037350A system dynamics approach for understanding community resilience to disaster riskOnyekachi J. Onyeagoziri0Corrinne Shaw1Tom Ryan2Department of Mechanical Engineering, Faculty of Engineering and the Built Environment, University of Cape Town, Cape TownDepartment of Mechanical Engineering, Faculty of Engineering and the Built Environment, University of Cape Town, Cape TownGraduate School of Business, University of Cape Town, Cape TownThe Western Cape is a dynamic province that is disaster-prone, particularly the vulnerable urban communities in and around its environs. Such communities are more vulnerable to wildfire, flooding, pandemic, natural and human-made hazards because of poverty and, consequently, poor living conditions such as overcrowding and non-understanding of community resilience. The inability of these communities to understand community resilience and withstand adversities affects the sustainability of initiatives to develop them. This study aims to identify the mechanisms influencing the level of understanding of community resilience in a vulnerable community and to contribute to the understanding of community resilience to disaster risk. Fieldwork was conducted in an informal settlement in South Africa. The research study was conducted in two cycles of data collection and analysis. Data in the form of observation notes, document analysis and interviews were analysed using grounded-theory principles. Ten inter-related variables or mechanisms emerged from the analysis. The theoretical model consists of four reinforcing (R) feedback loops (R1, R2, R3 and R4), respectively, which explain how the understanding of community resilience in the informal settlement maps on to the relative achievement systems archetype. Negative reinforcing behaviour would explain the lack of understanding of community resilience, while positive reinforcing behaviour indicates how an understanding of community resilience develops. In addition, the variable with the leverage to improve the mechanisms influencing the understanding of community resilience was found to be the ‘level of public education and awareness’. The theory of how these variables behave in context was represented as a qualitative system dynamics model.https://jamba.org.za/index.php/jamba/article/view/1037disaster risk reductioncommunity resiliencegrounded theorysystem dynamicsinformal settlements.
collection DOAJ
language English
format Article
sources DOAJ
author Onyekachi J. Onyeagoziri
Corrinne Shaw
Tom Ryan
spellingShingle Onyekachi J. Onyeagoziri
Corrinne Shaw
Tom Ryan
A system dynamics approach for understanding community resilience to disaster risk
Jàmbá : Journal of Disaster Risk Studies
disaster risk reduction
community resilience
grounded theory
system dynamics
informal settlements.
author_facet Onyekachi J. Onyeagoziri
Corrinne Shaw
Tom Ryan
author_sort Onyekachi J. Onyeagoziri
title A system dynamics approach for understanding community resilience to disaster risk
title_short A system dynamics approach for understanding community resilience to disaster risk
title_full A system dynamics approach for understanding community resilience to disaster risk
title_fullStr A system dynamics approach for understanding community resilience to disaster risk
title_full_unstemmed A system dynamics approach for understanding community resilience to disaster risk
title_sort system dynamics approach for understanding community resilience to disaster risk
publisher AOSIS
series Jàmbá : Journal of Disaster Risk Studies
issn 2072-845X
1996-1421
publishDate 2021-06-01
description The Western Cape is a dynamic province that is disaster-prone, particularly the vulnerable urban communities in and around its environs. Such communities are more vulnerable to wildfire, flooding, pandemic, natural and human-made hazards because of poverty and, consequently, poor living conditions such as overcrowding and non-understanding of community resilience. The inability of these communities to understand community resilience and withstand adversities affects the sustainability of initiatives to develop them. This study aims to identify the mechanisms influencing the level of understanding of community resilience in a vulnerable community and to contribute to the understanding of community resilience to disaster risk. Fieldwork was conducted in an informal settlement in South Africa. The research study was conducted in two cycles of data collection and analysis. Data in the form of observation notes, document analysis and interviews were analysed using grounded-theory principles. Ten inter-related variables or mechanisms emerged from the analysis. The theoretical model consists of four reinforcing (R) feedback loops (R1, R2, R3 and R4), respectively, which explain how the understanding of community resilience in the informal settlement maps on to the relative achievement systems archetype. Negative reinforcing behaviour would explain the lack of understanding of community resilience, while positive reinforcing behaviour indicates how an understanding of community resilience develops. In addition, the variable with the leverage to improve the mechanisms influencing the understanding of community resilience was found to be the ‘level of public education and awareness’. The theory of how these variables behave in context was represented as a qualitative system dynamics model.
topic disaster risk reduction
community resilience
grounded theory
system dynamics
informal settlements.
url https://jamba.org.za/index.php/jamba/article/view/1037
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