ANALYSIS OF FACTORS INFLUENCING RESIDENTIAL LAND USE IN ADO-EKITI , NIGERIA

Abstract

The study analysed factors influencing residential land use in Ado-Ekiti, Nigeria. The target populations for the study were the residents of selected housing estates in the high, medium and low density areas of Ado-Ekiti, Practicing Estate Surveying and Valuation firms in Ado-Ekiti. The sampling frame of the occupants in the selected areas was derived through physical enumeration of the houses in the areas while that of Practicing Estate Surveying and Valuation firms was derived from the 2020 directory of the Nigerian Institution of Estate Surveyors and Valuers. The sample size of the occupants was derived by a means of sample size reduction formular by Yamane which resulted into 188, 224 and 299 occupants in the low, medium and high density areas. The total sampling frame of the practicing Estate firms 7 was adopted as the sample size because of its sizeable number. Structured questionnaires were distributed to respondents while data retrieved were analysed using Descriptive Statistics, Weighted Mean Score, Kruskawalis Test, Factor Analysis, Correlation Analysis and Logistic Regression Analysis. The study examined the socio-economic characteristics of the respondents in the three (3) residential neighbourhoods and identity the various housing types in the selected residential neighbourhoods. Furthermore, the factors influencing residential land use were categorized into four (4) viz biophysical, socio-demographical, economical and spatial political factors which include location, security; proximity; price mechanism, investment potential, planning regulation amongst others. The results of the kruskawalis test further showed a significant difference in the opinions of the respondents with a p (p≤.005) while the results of the Kendalltau_b correlation on the factors influencing residential land uses in Ado-Ekiti have both statistically positive and negative linear relationship (p˂.005). The results of the factor analysis conducted on the impacts of socioeconomic characteristics of the residents on residential land use showed a chi-square of 5853.882 which is significant at p<0.000 while ten (10) components were extracted under3.380eigenvalue minimum which generated a cumulative percentage of 67.265%. furthermore, the results of the Logistic regression showed factors such as occupation, household size, gender, resident’s status and monthly income are the significant socio-economic characteristics of the respondents affecting land use with a chi-square value of 123.776 with 8 degrees of freedom. The study therefore concluded that factors influencing residential land use are major determinants of land uses and have various impacts on land use which must be critically reviewed.