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Title: | MODELING SLUM AND INFORMAL HOUSING DEVELOPMENT IN AKURE, NIGERIA (1986-2019) |
Authors: | Adedeji, A.A Junaid, M. Sanni, Lekan Mohammed |
Keywords: | Modeling Slum and Informal Housing Development Logistic Regresssion |
Issue Date: | Mar-2023 |
Publisher: | International Journal of Environmental Research & Earth Science |
Abstract: | Slums and informal housing developments in Akure are growing at an unprecedented rate. It was on this basis that this work assessed the indices of slum and informal housing development in Akure, Ondo State, Nigeria. A stratified sampling method was used in selecting the corridors, and a simple random sampling technique was used in selecting the residents in the corridors. Primary data was collected using a questionnaire administered to 600 respondents with the aid of trained enumerators. Descriptive statistics, spatial analysis, and logistic regression models were used for the analysis. The study concluded that between 16.3% and 40.8% of the variance in predicting whether there is or is not development of slum and informal housing in Akure were explained by the following predictors: housing shortage, lack of affordable housing, high incidences of urban poverty, lack of planning and development plans, inadequate development control by planning agencies, inadequate provision of sites and services, tenure insecurity, inadequate neighbourhood facilities and services, and inadequate sanitation, with significance values of 0.000, 0.035, 0.000, 0.045, 0.005, 0.021, 0.030, 0.024, and 0.000, respectively. Each of these values were less than 0.05. The study recommended that the state government should upgrade earth roads to gravel and construct distribution roads with drainage, especially in areas like Igoba, Ijoka, and Orita-Obele in Akure. |
URI: | http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29490 |
Appears in Collections: | Urban & Regional Planning |
Files in This Item:
File | Description | Size | Format | |
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14_Adedeji_Modelling Slum (1).pdf | 335.29 kB | Adobe PDF | View/Open |
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