SOCIOECONOMIC AND PHYSICAL DETERMINANTS OF PLACE PERFORMANCE IN GREEN-CERTIFIED BUILDINGS IN LAGOS, NIGERIA
DOI:
https://doi.org/10.33003/fjs-2026-1008-5059Keywords:
Green-certified buildings, Place performance, Building Condition Index, Post-occupancy evaluation, Socioeconomic determinantsAbstract
This study investigates the socioeconomic and physical determinants of place performance in green-certified buildings in Lagos, Nigeria, focusing on the relationship between building condition, user characteristics, and occupant experience. A mixed-methods post-occupancy evaluation approach was adopted using structured questionnaires and building assessment across nine LEED and EDGE-certified buildings. Data from 1,004 valid responses were analyzed, and a composite Building Condition Index (BCI) was developed. Findings revealed that the buildings generally performed well in building materials, energy efficiency, water efficiency, and waste management, achieving an overall BCI of 4.02/5.0. However, performance was primarily driven by operational efficiency measures, while advanced sustainability features such as renewable energy systems, water reuse, and waste-to-energy technologies were limited. Income showed the strongest association with green-building occupancy (χ²=748.22, V=0.70), while occupation, age, education, ethnicity, and household size significantly influenced accessibility and perception; gender was not significant. ANOVA revealed significant performance differences among buildings (F=208.37, p<0.001), and Pearson correlation indicated a moderate positive relationship between building condition and household income (r=0.336). The findings demonstrate that place performance is shaped by both socioeconomic factors and physical building attributes, reinforcing the socio-technical nature of sustainable buildings in rapidly urbanizing contexts. The study concludes that effective green building performance in Lagos requires context-sensitive, user-centered, and socially inclusive sustainability frameworks beyond certification compliance. A limitation is its reliance on partially perception-based data, which may introduce subjective bias.
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Copyright (c) 2026 Abayomi Ayoola, Abdulrasaq Ayinla, Oluwole Ajayi, Olusola Makinde
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