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  <title>DSpace Community: SET</title>
  <link rel="alternate" href="http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/82" />
  <subtitle>SET</subtitle>
  <id>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/82</id>
  <updated>2026-06-28T23:09:11Z</updated>
  <dc:date>2026-06-28T23:09:11Z</dc:date>
  <entry>
    <title>Assessing the Sustainable Housing Outcomes Of Urban Environmental  311 Management in a Circular Economy: A Mixed-Methods Household Study In Lapai, Nigeria.</title>
    <link rel="alternate" href="http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31707" />
    <author>
      <name>Musa, Mohammed Sanusi</name>
    </author>
    <author>
      <name>Suleiman, Yakubu musa</name>
    </author>
    <author>
      <name>Bala, Maimuna Kuta</name>
    </author>
    <id>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31707</id>
    <updated>2026-06-22T23:19:44Z</updated>
    <published>2026-04-22T00:00:00Z</published>
    <summary type="text">Title: Assessing the Sustainable Housing Outcomes Of Urban Environmental  311 Management in a Circular Economy: A Mixed-Methods Household Study In Lapai, Nigeria.
Authors: Musa, Mohammed Sanusi; Suleiman, Yakubu musa; Bala, Maimuna Kuta
Abstract: Rapid urbanisation in secondary cities of developing countries is intensifying challenges related &#xD;
to housing quality, environmental degradation, and inefficient resource use. This study assessed &#xD;
the sustainable housing outcomes of urban environmental management within a circular economy &#xD;
framework, focusing on households in Lapai, Niger State, Nigeria. Anchored on SDG 11 &#xD;
(sustainable cities and communities) and SDG 12 (responsible consumption and production), the &#xD;
study adopted a mixed-methods research design. Quantitative data were collected through a &#xD;
structured household survey administered to approximately 300 residential units. Qualitative &#xD;
insights were obtained from key informant interviews with urban planners, environmental health &#xD;
officers, and community representatives. Descriptive statistics and multivariate regression analysis &#xD;
were employed to examine the influence of urban environmental management practices such as &#xD;
waste management, water and sanitation services, and neighbourhood environmental maintenance &#xD;
on sustainable housing indicators including habitability, environmental quality, and resource &#xD;
efficiency. Qualitative data were analysed thematically to provide deeper understanding of &#xD;
household experiences and institutional practices. The findings revealed that waste management, &#xD;
access to improved water and sanitation, and regular neighbourhood environmental maintenance &#xD;
have a significant positive effect on sustainable housing outcomes in Lapai. However, there is low &#xD;
public awareness and adoption of circular economy practices at the household level, particularly &#xD;
in material reuse, waste management, and energy conservation, due to weak institutional capacity &#xD;
and inadequate enforcement of environmental regulations. The study concludes that strengthening &#xD;
urban environmental governance and mainstreaming circular economy principles into household &#xD;
practices are essential to enhance sustainable housing outcomes. These findings provide policyrelevant evidence for implementing SDGs 11 and 12, while contributing to SDG 13 (climate &#xD;
action) through improved urban resource efficiency and environmental management.</summary>
    <dc:date>2026-04-22T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Assessment of Facilities Condition and Users' Satisfaction in Public Housing Estates in Minna, Nigeria</title>
    <link rel="alternate" href="http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31413" />
    <author>
      <name>Liman, Hassan Shuaibu</name>
    </author>
    <id>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31413</id>
    <updated>2026-05-21T17:05:54Z</updated>
    <published>2018-04-01T00:00:00Z</published>
    <summary type="text">Title: Assessment of Facilities Condition and Users' Satisfaction in Public Housing Estates in Minna, Nigeria
Authors: Liman, Hassan Shuaibu
Abstract: The failure of several housing projects across different parts of the world have been attributed partly to lack of feedback from the end-users. This study conducts a post-occupancy evaluation of the condition of housing facilities and users' satisfaction in public housing estates in Minna. Two public housing developments (M.I. Wushishi and Talba Housing Estates) were selected for the study. Data for the study were collected through questionnaire administration, personal observation and interview. A total of 400 questionnaires were administered out of which 288 were retrieved and 256 were found to be useful for analysis, representing about 26% of the total housing stock in the two estates. Data were analysed using both descriptive and inferential statistics. Likert scale was used to analyse the level of users' satisfaction, while correlation analysis was used to test  the relationship between the condition and the level of satisfaction. Results from the study revealed that residents were generally dissatisfied or felt indifferent with majority of the facilities with the exception of drainage in both estates and healthcare facilities in M. I. Wushishi with which the residents were generally satisfied. The correlation coefficient (0.908 and 0.721 for M.I. Wushishi and Talba estate respectively) showed strong, positive relationships between facilities condition and users' satisfaction, implying that the better the condition of these facilities, the higher the level of users' satisfaction. To achieve higher level of satisfaction, a general improvement of the condition of facilities in public housing estates was recommended.</summary>
    <dc:date>2018-04-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>PERFORMANCE EVALUATION OF NON-PARAMETRIC CAMERA FOR 3D RECONSTRUCTION OF BUILDING</title>
    <link rel="alternate" href="http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31370" />
    <author>
      <name>Ajayi, O. G</name>
    </author>
    <author>
      <name>Baba, M</name>
    </author>
    <author>
      <name>Alademomi, A. S</name>
    </author>
    <author>
      <name>Opaluwa, Y. D</name>
    </author>
    <id>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31370</id>
    <updated>2026-05-20T01:53:03Z</updated>
    <published>2022-03-28T00:00:00Z</published>
    <summary type="text">Title: PERFORMANCE EVALUATION OF NON-PARAMETRIC CAMERA FOR 3D RECONSTRUCTION OF BUILDING
Authors: Ajayi, O. G; Baba, M; Alademomi, A. S; Opaluwa, Y. D
Abstract: The demand for three-dimensional (3D) geospatial data and modelling for urban development has been continuously increasing because many GIS problems can only be adequately solved in 3D rather than the traditional 2/2.5D spatial representations. This paper explores the applicability of using non-parametric camera for 3D reconstruction of building using 3DF Zephyr, an open-source photogrammetric software. About fifty (50) overlapping images were acquired with the aid of an amateur non-parametric camera; a Casio Exilim EX-Z3 with couple charged device (CCD) of 3.2 mega pixels. The process of reconstructing the building from the acquired overlapping images involved automatic camera orientation and generation of sparse and dense point clouds of the object. The result showed that the estimated percentage errors in the total area and length of the reconstructed building when compared to the real object are 5.65% and 7.4%, respectively. The findings of the study shows that relatively accurate 3D reconstruction of objects can be achieved efficiently and with less budget using a non-metric camera and thus recommended the use of non-parametric cameras for 3D reconstruction of buildings especially for reconnaissance applications. Further studies will investigate the performance of other available open-source photogrammetric software packages for 3D object reconstruction.</summary>
    <dc:date>2022-03-28T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>ANALYSIS OF SEA LEVEL ANOMALY OVER NIGERIA COASTAL AREA USING MULTI-MISSION SATELLITE ALTIMETRY DATA</title>
    <link rel="alternate" href="http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31369" />
    <author>
      <name>Baba, M</name>
    </author>
    <author>
      <name>Opaluwa, Y. D.</name>
    </author>
    <author>
      <name>Faruna, S. O.</name>
    </author>
    <id>http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31369</id>
    <updated>2026-05-20T01:27:11Z</updated>
    <published>2022-03-28T00:00:00Z</published>
    <summary type="text">Title: ANALYSIS OF SEA LEVEL ANOMALY OVER NIGERIA COASTAL AREA USING MULTI-MISSION SATELLITE ALTIMETRY DATA
Authors: Baba, M; Opaluwa, Y. D.; Faruna, S. O.
Abstract: Sea level rise phenomenon is one of the important global issues which is slowly threatening human survival and impairing economic development. This phenomenon has significant impacts on the social economy, natural environment, and ecosystem of coastal areas. Satellite altimeter data has offered a great opportunity for adopting remote sensing technology in studying sea level changes. This study presents the sea level anomalies (SLA) variation and the predicted SLA trend along the Nigeria coast using the satellite altimetry technique for the period of 12 months ((January 2021 to December 2021). SLA hourly gridded data was acquired from the Archiving Validation and Interpretation of Satellite Oceanographic Data (AVISO) portal. The monthly trend of the SLA was analysed for the period. Linear regression statistical template was implored to predict SLA trend for the next four years at two years intervals. It was found that the month of November recorded the highest SLA value of 204.62mm while the month of August recorded the lowest SLA value of 74.40mm. The SLA predicted values obtain at 95% confident level have an upward increase of 81.40mm as at year 2023 and 93.04mm in the year 2025. Analyses of Long-term time series data may be needed to arrive at a justified conclusion.</summary>
    <dc:date>2022-03-28T00:00:00Z</dc:date>
  </entry>
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