Citation

Odunsi O, Onanuga M. Town Reg. Plann. 2022; 81: 97-112.

Copyright

(Copyright © 2022, University of the Free State)

DOI

10.18820/2415-0495/trp81i1.8

PMID

unavailable

Abstract

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 (β1 = 0.197, p < 0.05), institutional (β2 = 0.180, p < 0.05), and socio-economic (β3 = 0.529, p < 0.05) factors have statistically significant positive effects on household flood resilience, while the behavioural (β4 = -0.035, p < 0.05) 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.

Palabras clave : Climate adaptation; flood adaptation; flood resilience; socio-economic resilience; natural disaster.



===

Hierdie artikel ondersoek die verband tussen huishoudings se vloedveerkragtigheid en voorspellers van hul veerkragtigheid in Nigerië met die oog daarop om hul vloedrisikobestuurvermoëns te verbeter. Hierdie studie gebruik 'n kwantitatiewe navorsingsontwerp waardeur 'n deursnee-opnamemetode gebruik word om 512 huishoudings ewekansig te selekteer vir vraelysadministrasie deur 'n multistadium-steekproefprosedure. Data is ontleed deur gebruik te maak van Structural Equation Modelling (SEM). Die studie toon dat omgewings- (β1 = 0.197, p < 0.05), institusionele (β2 = 0.180, p < 0.05) en sosio-ekonomiese (β3 = 0.529, p < 0.05) faktore statisties beduidende positiewe uitwerking op huishoudelike vloedveerkragtigheid het (β4 = -0.035, p < 0.05), terwyl die gedrag-faktor 'n negatiewe effek het. Die sterkste voorspeller van huishoudings se veerkragtigheid teen vloedrampe is die sosio-ekonomiese faktor. Die implikasie is dat lae sosio-ekonomiese status 'n hoë vlak van armoede aandui wat huishoudings se vloedbestandheid vererger. Dit dui daarop dat die armes nie die nodige ekonomiese hulpbronne en sosiale nette het om die impak van vloedrampe te voorkom, aan te pas by en/of te transformeer nie.

Language: en