Browsing by Author "Dipeolu A. A."

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Mitigating environmental sustainability challenges and enhancing health in urban communities: The multi-functionality of green infrastructure
(Alanya University, Faculty of Engineering and Natural Sciences, 2020) Dipeolu A. A.; Akpa O. M.; Fadamiro J. A.
Green Infrastructure (GI) facilities have capacity to enhance health and mitigate Environmental Sustainability Challenges (ESC). However, the extent of the mitigation and health benefits is unclear in developing countries. This study examined the impact of GI on ESC and Perceived Health (PH) of urban residents in Lagos Metropolis, Nigeria. Multi-stage sampling technique was used to select 1858 residents of Lagos Metropolis who completed semi-structured questionnaires. Descriptive statistics and chi-square test were used to explore data distributions and assess association of the availability of GI with resident’s PH and ESC. Odds ratio with 95% confidence interval (OR;95%CI) were estimated for good health and ESC mitigation. Participants were mostly men (58.9%) and younger than 50 years old (86.3%). Good health (20.5%) and high mitigation of ESC (collection and disposal of waste-52.7% and official development assistance 63.9%) were reported where GI is mostly available. Participants were more likely to report good health (OR:1.40; 95%CI:1.02-1.92) and high mitigation of ESC [water quality (OR:1.42; 95%CI:1.12-1.81) passenger transport mode (OR:1.41; 95%CI:1.06-1.89)] where GI are mostly available. Availability of Green infrastructure is supporting health and mitigating environmental sustainability challenges in the study area. Green infrastructure should be provided in urban areas where environmental sustainability is under threat
The factor structure of the environmental attitude scale in a community-based study in Lagos, Nigeria
(Adventist University of Africa, 2019) Dipeolu A. A.; Akpa O. M.; Fadamiro A. J.
Environmental Attitude (EA) has been understood to be a complex multidimensional construct with minimal empirical evidence in developing countries. In the present study, psychometric properties of an EA scale was empirically assessed using data from a community based study conducted in Nigeria. Different measures of EA were aggregated into a single EA scale and administered to 1,858 individuals. Mean (Standard deviation) and proportions were used to describe the distribution of continuous and discrete data respectively. Reliability of the scale was assessed using Cronbach's alpha. Varying hypothetical models of the EA were assessed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Data were analyzed using IBM SPSS version 20 and AMOS version 21 at 5% significant level. Overall mean score and alpha coefficient for the combined EA measure was 381.7 (49.0) and 0.928 respectively. A 3-factor structure accounting for 36% cumulative variance in the scale item was extracted in an EFA. A nonorthogonal 3-factor model was a significant improvement over the original none-correlated 5-factor model [÷2 (1344) =29216.33, P<0.001; CAIC=9816.870]. The conceptualization of the EA as a non-orthogonal 3-factor structure provides a better fit to the present data. The 3-factor structure is advised in Nigeria and similar settings.