A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modelling resilience to extreme climate events: A household-based study of flood disaster in Nigeria
This article examines the relationship between households’ flood resilience and predictors of their resilience in Nigeria, with a view to improving their flood risk management capacities. This study utilises a quantitative research design whereby a cross-sectional survey method is used to randomly select 512 households for questionnaire administration through a multistage sampling procedure. Data was analysed using Structural Equation Modelling (SEM). The study shows that environmental, institutional, and socio-economic factors have statistically significant positive effects on household flood resilience, while the behavioural factor has a negative effect. The highest predictor of households’ resilience to flood disaster is the socio-economic factor. The implication is that low socio-economic status indicates a high level of poverty that worsens households’ flood resilience. This suggests that the poor do not have the needed economic resources and social nets to prevent, adapt to, and/or transform from the impact of flood disaster.
Modelling resilience to extreme climate events: A household-based study of flood disaster in Nigeria
This article examines the relationship between households’ flood resilience and predictors of their resilience in Nigeria, with a view to improving their flood risk management capacities. This study utilises a quantitative research design whereby a cross-sectional survey method is used to randomly select 512 households for questionnaire administration through a multistage sampling procedure. Data was analysed using Structural Equation Modelling (SEM). The study shows that environmental, institutional, and socio-economic factors have statistically significant positive effects on household flood resilience, while the behavioural factor has a negative effect. The highest predictor of households’ resilience to flood disaster is the socio-economic factor. The implication is that low socio-economic status indicates a high level of poverty that worsens households’ flood resilience. This suggests that the poor do not have the needed economic resources and social nets to prevent, adapt to, and/or transform from the impact of flood disaster.
Modelling resilience to extreme climate events: A household-based study of flood disaster in Nigeria
Oluwafemi Odunsi (author) / Margaret Onanuga (author)
2022
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
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