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    <title>MSUIR Community:</title>
    <link>https://cris.library.msu.ac.zw//handle/11408/340</link>
    <description />
    <pubDate>Sun, 05 Apr 2026 18:26:10 GMT</pubDate>
    <dc:date>2026-04-05T18:26:10Z</dc:date>
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      <title>A grounded theory approach to the investigation of cadastral activities and processes of Gweru municipality</title>
      <link>https://cris.library.msu.ac.zw//handle/11408/3536</link>
      <description>Title: A grounded theory approach to the investigation of cadastral activities and processes of Gweru municipality
Authors: Mudare, Benevolence
Abstract: This paper explores the power of Constructivist grounded theory methodology to discover the theory of the Gweru Cadastral processes and activities. The researcher used the tools and techniques of constructivist grounded theory to mine rich data at Gweru council which he then performed data analysis to yield analytic categories. The researcher then used these analytic categories to write the Gweru cadastral processes theory which he then compared with the theory within the domain of land governance.</description>
      <pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://cris.library.msu.ac.zw//handle/11408/3536</guid>
      <dc:date>2018-01-01T00:00:00Z</dc:date>
      <dc:creator>Mudare, Benevolence</dc:creator>
    </item>
    <item>
      <title>Solid waste collection management information system for Gweru City Council</title>
      <link>https://cris.library.msu.ac.zw//handle/11408/3511</link>
      <description>Title: Solid waste collection management information system for Gweru City Council
Authors: Chapukira, Titus Munoda
Abstract: Solid waste alludes to all materials that are not prime items, for which the individual creating the material has no further use in terms of his or her own motivations for generation and utilization. In developing countries, Zimbabwe included, municipal authorities rely on poor methods and techniques in waste collection administration which are subjective and tend to increase operational costs of solid waste collection activities. Instead of maintaining vibrant information management systems for solid waste collection to efficiently utilise the available&#xD;
resources, much emphasis is directed towards blaming the shortage of financial and human resources as well as the vehicles and equipment for the rapid depletion of waste collection levels. The declination of the solid waste collection results in unlawful open dumping and burning of solid waste which has negative ecological, social and economic effects. The absence of optimized information management systems for solid waste collection by the municipal authorities is causing solid waste collection to be costly and inefficient resulting in the failure&#xD;
to adhere to timeous collection of solid waste. There are likewise no efficient methods of communication between residents and municipal authorities. This study presents an optimised management information system to help in the planning, management and scheduling both human resource and refuse trucks. The system enabled the monitoring of waste collection activities in near real time as well as facilitating for the generation of optimum routes. The optimum routes  were generated after considering the road elevation changes, degree of the&#xD;
roughness of the road surface and the traffic congestion associated with a particular road network. This in turn significantly reduces fuel consumptions and time delays in delivering waste collection services to the residents. The system enabled the visualisation of the of the animation of a waste collection vehicle in transit on an optimum route. Furthermore, the system empowered residents to participate in the collection systems through conveying their contributions, suggestions and complaints direct to the administration via the web. However,&#xD;
there is need for the system to be integrated with RFID`s and GSM modems so as to achieve enhanced capabilities that forms the basis of a smart waste collection system.</description>
      <pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://cris.library.msu.ac.zw//handle/11408/3511</guid>
      <dc:date>2018-01-01T00:00:00Z</dc:date>
      <dc:creator>Chapukira, Titus Munoda</dc:creator>
    </item>
    <item>
      <title>Optimising primary health care facility location: a case of Gweru District</title>
      <link>https://cris.library.msu.ac.zw//handle/11408/3509</link>
      <description>Title: Optimising primary health care facility location: a case of Gweru District
Authors: Nkomo, Tendai
Abstract: As access to health care is a human right in Zimbabwe it is expected that primary health facilities should be optimally located to serve demand. It is therefore a challenge for the government and policy makers to provide primary health facilities which are optimally located to serve demand conveniently. This paper highlights a GIS method for optimising location of primary health care facilities. The study area is Gweru district in Zimbabwe. Using location allocation models in ArcGIS optimal location of primary health facilities in Gweru district were selected and also the existing locations were assed to see if they are well located to serve the population as well. The important factor of locating primary health care facilities is the location of demand that require health services from a Primary health facility, here the population dataset downloaded from World pop website was used to estimate the distribution  demand. Spatial accessibility is the essential principle of primary health care hence it is important to consider the relations between the location of demand, location of PHCs and the method of transport linking people with the services .in this study road network downloaded from open street was used to link facility and the demand. Also   candidate facilities were obtained from the fishnet grid and the existing facilities were downloaded from the humanitarian data exchange. Maximize capacitated model was utilised to obtain the theoretical optimal location of primary health facilities in Gweru district and it was found that 68% of the population is served by the locations. Then the current distribution PHCs and their catchment area were evaluated, only 37% of the demand have good access to health care. Finally the results from the theoretical locations were compared with the existing locations. Results indicated that most of the people residing in rural areas were outside the service area as defined by the standard travel distance of 5km.The comparison results indicate that the existing facilities are not optimally located and the have low accessibility than the intended locations.</description>
      <pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://cris.library.msu.ac.zw//handle/11408/3509</guid>
      <dc:date>2018-01-01T00:00:00Z</dc:date>
      <dc:creator>Nkomo, Tendai</dc:creator>
    </item>
    <item>
      <title>Spatial electric load forecasting: a case of Zimbabwe Electricity Transmission and Distribution Company (ZETDC), Mutare</title>
      <link>https://cris.library.msu.ac.zw//handle/11408/3236</link>
      <description>Title: Spatial electric load forecasting: a case of Zimbabwe Electricity Transmission and Distribution Company (ZETDC), Mutare
Authors: Serere, Helen Ngonidzashe</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://cris.library.msu.ac.zw//handle/11408/3236</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
      <dc:creator>Serere, Helen Ngonidzashe</dc:creator>
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