2019
DOI: 10.1007/s10668-019-00367-8
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Housing quality and its predictors in public residential estates in Lagos, Nigeria

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Cited by 20 publications
(25 citation statements)
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“…The study revealed a strong and significant correlation between neighbourhood quality and physical characteristics that comprised: building types, buildings ages, buildings orientation, building forms, wall colour, window protection, foundation materials, and wall materials among others features. This is in line and tandem with findings by Olotuah, (2016); Olotuah, (2019) and Babalola et al (2019) [36,37].…”
Section: Relationship Between Social Characteristics Physical Characteristics and Neighbourhood Quality In The Study Areasupporting
confidence: 92%
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“…The study revealed a strong and significant correlation between neighbourhood quality and physical characteristics that comprised: building types, buildings ages, buildings orientation, building forms, wall colour, window protection, foundation materials, and wall materials among others features. This is in line and tandem with findings by Olotuah, (2016); Olotuah, (2019) and Babalola et al (2019) [36,37].…”
Section: Relationship Between Social Characteristics Physical Characteristics and Neighbourhood Quality In The Study Areasupporting
confidence: 92%
“…The inference of this is that architects and other building professional engaged in the implementation, redevelopment, restructuring and upgrading of existing residential estates, should involve suitable design principles in conceiving neighbourhood that meets users need and level of neighbourhood quality, which is in agreement with study by Babalola et al (2019) and [37,40]. This suggested that more consideration should be given to the aspects that include: physical, design and social characteristics of the neighbourhood in the study area.…”
Section: Summary Of the Perception Of The Nsc In The Study Areassupporting
confidence: 62%
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“…On the determinants of application of research methods in architecture programs, from literature, standard multiple regression (SMREG), which is an extension of correlation is the tool used for exploration of predictive ability of a set of independent variables (i.vs) on one continuous dependent variable (d.v. ); hence identification of the i.vs [19,20]. SMREG according to [7] with these types of variables normally leads to generation of models which normally assist managers in managerial decision-making situations in organizations.…”
Section: A Theorymentioning
confidence: 99%