Modelling the Nexus between Physical Infrastructure Adequacy and Livelihood Conditions of Internally Displaced Persons (IDPs) in Borno State, Nigeria

T. N. Nzelibe, Oyinloye M. A., Ilesanmi F. A. and Popoola O. O.
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T. N. Nzelibe: Department of Urban and Regional Planning Nigerian Army University, Biu, Nigeria
Oyinloye M. A.: Department of Urban and Regional Planning, Federal University of Technology, Akure, Nigeria
Ilesanmi F. A.: Department of Urban and Regional Planning, Modibbo Adama University, Yola, Nigeria
Popoola O. O.: Department of Urban and Regional Planning, Federal University of Technology, Akure, Nigeria

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 5, 2017-2036

Abstract: Borno State, Nigeria, grapples with a severe humanitarian crisis stemming from the insurgency of Boko Haram, resulting in the displacement of over 1.8 million individuals who seek refuge in internally displaced persons (IDP) camps. This study presents a detailed investigation of the adequacy of physical infrastructure within Internally Displaced Persons (IDPs) camps in Borno State, Nigeria, and its relationship with the living conditions of IDPs. This study aims to fill existing knowledge gaps by exploring the complex relationship between physical infrastructure and living conditions in conflict-induced displacement settings. Utilising a mixed-methods approach, combining survey research design with geospatial techniques, this study assessed shelter, water, sanitation, and hygiene (WASH) facilities across three selected IDP camps. Statistical techniques, including chi-squared tests and ordinal logistic regression analysis, were utilised to examine the relationships between physical infrastructure adequacy and the Sustainable Livelihoods Score. The findings reveal diverse patterns in Shelter and WASH vulnerabilities across IDP camps, emphasising the need for nuanced interventions tailored to specific challenges faced by IDPs in different locations. Logistic regression analysis provides insights into the significant predictors of the Sustainable Livelihoods Score. The results indicate that the Shelter Vulnerability Score is not a statistically significant predictor of the Sustainable Livelihoods Score, whereas the WASH Vulnerability Score shows marginal significance, suggesting a potential but not strong impact. The goodness-of-fit analysis indicated that the logistic regression model provided a reasonable fit to the data, offering valuable insights into the relationship between physical infrastructure adequacy and livelihood conditions of IDPs in Borno State.

Date: 2024
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