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Housing quality and its predictors in public residential estates in Lagos, Nigeria

机译:住房质量及其在尼日利亚拉各斯公共住宅屋苑的预测因素

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Improving access to good quality and sustainable housing environment for residents in urban areas in the developing world has been engaging the attention of housing scholars, researchers and developers. Consequently, the extent to which government-constructed residential estates in urban areas are providing residents with good quality housing environment has been investigated in many cities in developing countries. However, in a rapidly growing megacity like Lagos, Nigeria, the situation has not been adequately investigated. This study relied on data collected via a questionnaire survey of 379 residents to investigate housing quality (HQ) and its predictors in 15 government-constructed residential estates in Lagos State, Nigeria. The outcomes of descriptive statistics and categorical regression analyses (CATREG) show that over 50% of the respondents in the survey perceived the buildings and their neighbourhood environments and the overall quality of housing to be good. Around 66% of the variance in R~2 was explained by the regression model, with adequacy of housing units' characteristics, type of housing, level of security in the estates and state of repairs of the buildings emerging as the top four predictors of HQ. This study is very instructive by revealing that in order to achieve improved quality of housing environment in government residential estates, public housing developers should give adequate attention to the design and construction of dwelling units, the right mix of housing types, security of lives and property and the use of easily maintainable building materials in the development of such schemes in urban areas in Nigeria.
机译:改善发展中国家城市地区居民的良好质量和可持续住房环境,一直从事住房学者,研究人员和开发商的关注。因此,在发展中国家的许多城市在许多城市调查了城市地区建造的住宅遗产,在城市地区建造的住宅遗产提供居民。然而,在像Lagos一样的快速增长的巨大性,尼日利亚,情况尚未得到充分调查。这项研究依赖于通过379名居民的调查问卷调查收集的数据来调查住房质量(总部)和其在尼日利亚拉各斯州的15个政府建造的住宅遗产中的预测因子。描述性统计和分类回归分析的结果(CATREG)表明,调查中有超过50%的受访者认为建筑物及其邻里环境以及住房的整体质量是好的。回归模型解释了R〜2中的66%的66%,随着住房单位的特点,住房类型,住房类型,屋恏的安全程度以及建筑物的修复状态作为总部的前四个预测因子。本研究表明,为了实现政府住宅遗址的改善质量,公共住房开发商应该充分关注住宅,住房类型的正确组合,住房类型,生命保障和财产的恰当混合并在尼日利亚城市地区开发中使用易于维护的建筑材料。

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