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Assessing the bio-psychosocial correlates of flood impacts in coastal areas of Lagos, Nigeria

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  • Idowu Ajibade
  • Frederick Ato Armah
  • Vincent Zubedaar Kuuire
  • Isaac Luginaah
  • Gordon McBean
  • Eric Y. Tenkorang

Abstract

This paper explores the complex heterogeneous experiences of flood impacts based on a bio-psychosocial model of socio-economic, demographic, behavioural and environmental factors. Using ordinary least squares regression on a cross-sectional survey of 1003 individuals, flood impacts in three contiguous coastal neighbourhoods in Lagos, Nigeria, were modelled. The results show that approximately 52% of the variability in flood impact was accounted for by education, age, family structure, ethnicity, personal health concern and income. While involvement in coping was not a significant predictor of flood impacts, relocation emerged as a strong predictor. The inclusion of behavioural factors did not change the magnitude and significance of the relationship between demographic factors and flood impacts. However, the effects of age, education and personal health concern disappeared when environmental factors were controlled. The overall importance of the predictors for determining flood impact in decreasing order is as follows: income > coping strategies > ethnicity = participation in community development > family structure > personal health concerns > housing quality > reasons for living in residential locality > neighbourhood vulnerability to flood > housing vulnerability to flood.

Suggested Citation

  • Idowu Ajibade & Frederick Ato Armah & Vincent Zubedaar Kuuire & Isaac Luginaah & Gordon McBean & Eric Y. Tenkorang, 2015. "Assessing the bio-psychosocial correlates of flood impacts in coastal areas of Lagos, Nigeria," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(3), pages 445-463, March.
    • Handle: RePEc:taf:jenpmg:v:58:y:2015:i:3:p:445-463
    DOI: 10.1080/09640568.2013.861811
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    Cited by:

    1. Weiwei Cao & Yi Yang & Jing Huang & Dianchen Sun & Gaofeng Liu, 2020. "Influential Factors Affecting Protective Coping Behaviors of Flood Disaster: A Case Study in Shenzhen, China," IJERPH, MDPI, vol. 17(16), pages 1-15, August.
    2. Nelly Florida Riama & Riri Fitri Sari & Henita Rahmayanti & Widada Sulistya & Mohamad Husein Nurrahmat, 2021. "The Level of Public Acceptance to the Development of a Coastal Flooding Early Warning System in Jakarta," Sustainability, MDPI, vol. 13(2), pages 1-25, January.
    3. Jing Huang & Weiwei Cao & Huimin Wang & Zhiqiang Wang, 2020. "Affect Path to Flood Protective Coping Behaviors Using SEM Based on a Survey in Shenzhen, China," IJERPH, MDPI, vol. 17(3), pages 1-17, February.

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