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  • 1.
    Bax, Gerhard
    et al.
    Blekinge Institute of Technology, School of Planning and Media Design.
    Mazzi-Ndandiko, Lydia Kayondo
    Blekinge Institute of Technology, School of Planning and Media Design.
    Tickodri - Togboa, Sandy Stevens
    Low Cost Road Condition Data Capture System for Sustainable Road Maintenance in Uganda2013Conference paper (Refereed)
    Abstract [en]

    A low cost system to document and monitor road conditions in Uganda and comparable countries is presented. We used slightly modified Contour GPS and Micorsoft Kinect, both inexpensive devices that can be purchased off the shelf in most countries.

  • 2.
    Kayondo-Ndandiko, Lydia Mazzi
    Blekinge Institute of Technology, School of Planning and Media Design.
    Geographical Information Technologies – Decision Support for Road Maintenance in Uganda2012Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    This study set out to develop a framework within which the use of Geographical Information Technologies (GITs) can be enhanced in Road Infrastructure Maintenance (RIM) in Uganda. Specifically it was guided by 3 objectives; 1. To assess the gaps in the use of GITs for RIM in Uganda and the limitations to accessing these technologies, 2. To develop a methodological framework to enhance the use of GITs in RIM and 3. To develop a Geographical Information Systems for Transportation (GIS-T) data model based on the road maintenance data requirements. A participatory approach through a series of interviews, focus group discussions, workshop & conferences, document reviews, field observations & measurements and GIS analysis were employed. Based on the Spatial Data Infrastructure (SDI) concept and the principle of Causality, the gaps and limitations were established to mainly be concerned with data and organisational constraints as opposed to technical issues. They were classified to include; inadequate involvement of GITs in organisational activities, inappropriate institutional arrangements, absence of data sharing frameworks, budget constraints, insufficient geospatial capacity, digital divide in the perception, adoption & affordability of GITs among the stakeholders and the absence of a road maintenance Spatial Data Infrastructure (SDI). A methodological framework, comprising of 6 strategic components was developed to enhance the use of GITs in RIM. This included enactment of relevant policy components to guide GIT use, continuous capacity building, establishment of a road maintenance SDI, fostering collaboration and spatial data sharing frameworks, budgetary allocation based on defined activities inclusive of GIT initiatives, and adoption of a dynamic segmentation data model. Conceptual and logical data models were developed and proposed for the Sector. The conceptual model, presented using an entity relationship diagram, relates the road network to the point and line events occurring on it. The logical object relational model developed using the ESRI provided template represents the road and the point and line events in a total of 19 object classes. The Study concludes that in order to ground GIT benefits in the sector; technical, data and organisational concerns involved in GIT undertakings should be accorded equal emphasis. Institutionalisation and diffusion of GITs as aspects of the component strategies are regarded capacity building mechanisms earmarked to boost success in GIT initiatives. Further research on diffusion and funding models for GIT initiatives is recommended. It is suggested that aspects of the proposed model be considered when establishing GIT standards for the sector. The RIM sector is encouraged to embrace Science and Technology and to participate in Research and Development and particularly to adopt the culture of innovation considering the ready availability of off the shelf equipment, freeware and open source software that can foster informed decision making.

  • 3.
    Mazzi-Ndandiko, Lydia Kayondo
    Blekinge Institute of Technology, School of Planning and Media Design.
    A Geographical Information Systems for Transportation (GIS-T) Object Based Data Model for Road Infrastructure Maintenance in Uganda2013Conference paper (Refereed)
    Abstract [en]

    This paper presents an object based Geographical Information Systems for Transportation (GIS-T) data model for road maintenance in Uganda. It is a result of a PhD undertaking whose main objective was to develop a framework within which the use of Geographic Information Technologies could be enhanced as decision support tools for road infrastructure maintenance in Uganda. The model is based on data requirements of the road maintenance sector and is a means towards establishing standards for geographical datasets. This was accomplished through identification of road maintenance data requirements, review of organisational reports, workshop proceedings, organisational terms of reference for various projects, understanding and consideration of the Information Quality Levels (IQL) and a review of existing data models and standards in transportation. The presented conceptual and logical data models for road maintenance are based on concepts of dynamic segmentation (dynseg) and linear referencing. Essential to adoption of the proposed model is the understanding of the transportation network of the country. The underlying requirement for implementation of the model is the choice of GIS software with the full set of dynseg tools. Key words: GIS-T, Data model, Road maintenance, dynamic segmentation, Linear referencing, Uganda

  • 4.
    Mazzi-Ndandiko, Lydia Kayondo
    et al.
    Blekinge Institute of Technology, School of Planning and Media Design.
    Bax, Gerhard
    Blekinge Institute of Technology, School of Planning and Media Design.
    Tickodri - Togboa, Sandy Stevens
    Object Based GIS-T Data Model for Road Infrastucture Maintenance in Uganda2014In: Geoinformatics & Geostatistics: An Overview, ISSN 2327-4581, Vol. 1, no 1Article in journal (Refereed)
    Abstract [en]

    Abstract There are several cases of poor transport services in Uganda that are caused by the bad state of roads. Road maintenance proved ad hoc until recently when the need for preventive maintenance was recognised and plans of making it a priority put in place. Since roads are geographically located, the use of Geographical Information Technologies (GITs) in collecting, managing and analysing road condition is paramount. And yet, these technologies are under utilized for road maintenance. This paper derives from research aimed at accentuating the use of GITs for Road Infrastructure Maintenance (RIM) in Uganda. The research addressed three objectives, (1) to access the gaps and limitations in GIT use and access for RIM, (2) to develop a methodological framework for enhancing the use of GITs in RIM and (3) to develop a Geographical Information Systems for Transportation (GIS-T) data model for RIM in Uganda. In line with the 3rd objective, the paper specifically presents an object data model for RIM. This was accomplished through identification of road maintenance data requirements, review of: organisational reports, workshop proceedings, organisational terms of reference for various projects and existing data models & standards in transportation. An understanding and consideration of the Information Quality Levels (IQL) was paramount. This resulted into a conceptual and logical data model for RIM based on concepts of dynamic segmentation and linear referencing. The conceptual model depicted using entity relationship diagrams identifies with 3 entities - the road’s network and the point and line events that exist on it. Besides logically documenting the various classes from the conceptual data model, the ESRI provided template for logical data modelling was used. The model separately emphasizes objects having spatial reference, objects without spatial reference and the relationships between them. The study concludes that a common definition and understanding of the country’s transportation network is essential to adoption of the proposed model. The choice of GIS software with the full set of dynamic segmentation tools is fundamental for implementation of the physical model. This idea of modelling data is a contribution to standardisation of geographic data sets for the sector. Keywords Data model; Dynamic segmentation; Geographical Information Technologies (GITs); Road Infrastructure Maintenance (RIM); Linear referencing; Uganda

  • 5. Mugalu, Gerald
    et al.
    Mazzi-Ndandiko, Lydia Kayondo
    Blekinge Institute of Technology, School of Planning and Media Design.
    An Assessment of the Flood Plain of River Malaba Catchment2013Conference paper (Refereed)
    Abstract [en]

    Abstract Flooding due to excessive rainfall is a frequent hazard in the flood plains of River Malaba catchment. This paper documents the study that involved predicting of the annual peak flows for river Malaba catchment, determining its magnitude and predicting the extent of flood depth within its flood plain. The flow data was analysed to ascertain its applicability and reliability for frequency analysis. F-test and t-test were conducted to check the stability of the data’s variance and mean respectively. The technique involved the use of observed annual peak flow data to compute statistical information such as mean values, standard deviation, skewness and recurrence intervals. The statistical data were then used to construct frequency distributions. Log-Pearson Type III distribution was used to predict the annual peak discharge of the river for the period 1950 to 1980. The results obtained indicated that the peak flow values for river Malaba were increasing with increasing return period. The estimated discharges obtained for each return period were used to model the flood using HEC-RAS and ArcGIS. There was a general increase in the predicted size of the flood plain with increasing return period. A DEM of a better resolution than 90 Meters is envisaged to result in better flood depth results. The use of directly generated coordinates to delineate the stream flow paths is recommended. The flood frequency results from this study can be used as a guide in determining the capacity of such structures as highway bridges and culverts.

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  • apa
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