Thesis (Ph.D. (Geography and Environmental Studies))--North-West University, Potchefstroom Campus, 2007.

When working on United States Green Building Council’s (USGBC) Leadership in Energy and Environmental Design LEED projects, architects, designers, and engineers involved in a sustainable design project often require information and tools beyond energy simulation software. They may require resources (tools) to support their decisions and to assess the risk involved in decision making. This research has presented a framework that links building performance assessment tools with the LEED rating system. It aims at bridging a gap between Architects, engineers, contractors, facility managers and LEED professionals. This work provides information about performance tools that can be used for different phases during design, construction and operation of a LEED rated building. A simple logic of the transitive property of equality i.e. if a = b, b = c then a = c was used to link the LEED credits requiring decision support with the tools that have capabilities to achieve it. This research presents a 3-dimensional matrix of "Right tool for right job at right time" by linking LEED credits, software tools and phases of building design, construction and operation. Overall the findings of the research demonstrated that the framework developed can be used for achieving 21 percent of total possible LEED 3.0 credits by providing about 36 percent of total possible points.

Groundwater plays an important role in water supply to rural communities. This statement is supported by the survey conducted at clinics within the Limpopo Province where the majority of aquifers in the area can be classified as Sole Source aquifers, supplying 50 % or more of domestic water in the absence of any reasonable alternative. The water quality study also concluded that the impact from on site sanitation on the groundwater system is significant given that 44 % of water samples of clinics with their own water supply classified as either poor or dangerous quality according to DWAF criteria and poses a significant health risk to susceptible individuals. Groundwater quality should therefore be protected with an emphasis on prevention as in most cases groundwater pollution is difficult to reverse and remediation is often a lengthy and expensive exercise. Although South Africa has all the legal tools to promote sustainable development, financial considerations are usually the driving force behind technology selection and not social or environmental aspects. The aim of this research is to develop an environmental impact assessment methodology and decision support framework that will aid in the selection of the most appropriate on site sanitation technology for a given area integrating environmental, economical and social criteria. The decision support framework developed in this study had a strong stakeholder component, involving stakeholders in the decision making process from the conception of the project through to the resolution of actions. Providing objective information about the performance of options, coupled with an opportunity to participate in the decision-making process, increases the awareness and commitment of the community. Field testing of the decision support framework produced good results and sensible recommendations were made with regard to alternative selection. / Thesis (Ph.D. (Geography and Environmental Studies))--North-West University, Potchefstroom Campus, 2007.

Groundwater plays an important role in water supply to rural communities. This statement is supported by the survey conducted at clinics within the Limpopo Province where the majority of aquifers in the area can be classified as Sole Source aquifers, supplying 50 % or more of domestic water in the absence of any reasonable alternative. The water quality study also concluded that the impact from on site sanitation on the groundwater system is significant given that 44 % of water samples of clinics with their own water supply classified as either poor or dangerous quality according to DWAF criteria and poses a significant health risk to susceptible individuals. Groundwater quality should therefore be protected with an emphasis on prevention as in most cases groundwater pollution is difficult to reverse and remediation is often a lengthy and expensive exercise. Although South Africa has all the legal tools to promote sustainable development, financial considerations are usually the driving force behind technology selection and not social or environmental aspects. The aim of this research is to develop an environmental impact assessment methodology and decision support framework that will aid in the selection of the most appropriate on site sanitation technology for a given area integrating environmental, economical and social criteria. The decision support framework developed in this study had a strong stakeholder component, involving stakeholders in the decision making process from the conception of the project through to the resolution of actions. Providing objective information about the performance of options, coupled with an opportunity to participate in the decision-making process, increases the awareness and commitment of the community. Field testing of the decision support framework produced good results and sensible recommendations were made with regard to alternative selection. / Thesis (Ph.D. (Geography and Environmental Studies))--North-West University, Potchefstroom Campus, 2007.

The study investigated the feasibility of the Ottawa decision support tool to assist HIV positive mothers' infant feeding choice. The aim was to explore and describe the feasibility of the Ottawa Decision Support Tool (ODST) in counselling HIV infected pregnant women on decision-making regarding the choice of safe infant feeding. The finding of this study will assist and support HIV positive mothers to be independent decision makers in choosing an infant feeding option for their babies. A descriptive qualitative research approach guided the researcher to explore and describe the feasibility of the ODST to assist HIV positive mothers' infant feeding choice. This study is based on the Ottawa decision support framework (ODSF). Three focus group that comprised midwives as participants were conducted. The first focus group was conducted in January 2013 and the two subsequent ones in August 2013. Data was analysed using a framework approach. The following themes emerged from data-analysis: • Appropriateness • Receptiveness of intervention • Effectiveness Conclusions were drawn based on the attained objectives of the study. The overall conclusion was that the ODST is feasible to assist HIV positive mothers' infant feeding choice. Limitations of the study were identified and recommendations were made for nursing practice, nursing education and further research. / MCur, North-West University, Potchefstroom Campus, 2015

The study investigated the feasibility of the Ottawa decision support tool to assist HIV positive mothers' infant feeding choice. The aim was to explore and describe the feasibility of the Ottawa Decision Support Tool (ODST) in counselling HIV infected pregnant women on decision-making regarding the choice of safe infant feeding. The finding of this study will assist and support HIV positive mothers to be independent decision makers in choosing an infant feeding option for their babies. A descriptive qualitative research approach guided the researcher to explore and describe the feasibility of the ODST to assist HIV positive mothers' infant feeding choice. This study is based on the Ottawa decision support framework (ODSF). Three focus group that comprised midwives as participants were conducted. The first focus group was conducted in January 2013 and the two subsequent ones in August 2013. Data was analysed using a framework approach. The following themes emerged from data-analysis: • Appropriateness • Receptiveness of intervention • Effectiveness Conclusions were drawn based on the attained objectives of the study. The overall conclusion was that the ODST is feasible to assist HIV positive mothers' infant feeding choice. Limitations of the study were identified and recommendations were made for nursing practice, nursing education and further research. / MCur, North-West University, Potchefstroom Campus, 2015

There is an urgent need to adopt innovative sustainable technologies (ISTs) to reduce energy consumption and carbon emissions whilst improving process efficiency of existing retail buildings, due to rising energy prices and the impacts of retail buildings on the environment. Despite their reported advantages, exhibited performance and numerous policies and legislations that encourage their adoption, there is a slow uptake of ISTs in the retail sector. This is due to the fact that the majority of stakeholders consider the task of selecting ISTs as a complex multi-attribute, multi-valued problem involving a large number of stakeholders with numerous, often conflicting objectives. To overcome this problem, the thesis develops a Decision Support Framework to assist stakeholders in the selection of ISTs for delivering low carbon retail buildings. Firstly focusing on the wider retail construction industry, followed by an in-depth case study of a leading UK retail contractor, the drivers and barriers faced by stakeholders in the retail construction industry during the selection of ISTs were identified. The underlying cause to the slow uptake of ISTs (complex decision-making problem) and the need to optimise the use of ISTs were investigated. The results identified the lack of a Decision Support Framework for the selection of ISTs for stakeholders in the retail construction industry. To address the problem, the research developed a Decision Support Framework to assist stakeholders in the complex decision-making task of selecting ISTs. The developed Decision Support Framework was first validated with a leading UK retail contractor and proved favourable; facilitating the decision-makers in the selection process and resulting in the successful selection of eight ISTs. A more general validation was conducted to ensure the Decision Support Framework was applicable to the wider construction industry. The results indicated that the framework was an effective mechanism to optimise the selection of ISTs by improving the decision-making process; it could be used by other stakeholders and also transferable to other building types for selecting ISTs. The thesis contributes to the knowledge related to decision-making and construction management research by developing a Decision Support Framework to assist stakeholders in the selection of ISTs to deliver low carbon retail buildings. In addition, it identifies the drivers for and barriers to selecting ISTs for existing retail buildings; key stakeholders in the selection of ISTs, a set of selection criteria used by clients/developers and designers/constructors and a database of ISTs that can be implemented by stakeholders to achieve low carbon retail buildings.

Infrastructure management agencies are facing multiple challenges, including aging infrastructure, reduction in capacity of existing infrastructure, and availability of limited funds. Therefore, decision makers are required to think innovatively and develop inventive ways of using available funds. Maintenance investment decisions are generally made based on physical condition only. It is important to understand that spending money on public infrastructure is synonymous with spending money on people themselves. This also requires consideration of decision parameters, in addition to physical condition, such as strategic importance, socioeconomic contribution and infrastructure utilization. Consideration of multiple decision parameters for infrastructure maintenance investments can be beneficial in case of limited funding. Given this motivation, this dissertation presents a prototype decision support framework to evaluate trade-off, among competing infrastructures, that are candidates for infrastructure maintenance, repair and rehabilitation investments. Decision parameters’ performances measured through various factors are combined to determine the integrated state of an infrastructure using Multi-Attribute Utility Theory (MAUT). The integrated state, cost and benefit estimates of probable maintenance actions are utilized alongside expert opinion to develop transition probability and reward matrices for each probable maintenance action for a particular candidate infrastructure. These matrices are then used as an input to the Markov Decision Process (MDP) for the finite-stage dynamic programming model to perform project (candidate)-level analysis to determine optimized maintenance strategies based on reward maximization. The outcomes of project (candidate)-level analysis are then utilized to perform network-level analysis taking the portfolio management approach to determine a suitable portfolio under budgetary constraints. The major decision support outcomes of the prototype framework include performance trend curves, decision logic maps, and a network-level maintenance investment plan for the upcoming years. The framework has been implemented with a set of bridges considered as a network with the assistance of the Pima County DOT, AZ. It is expected that the concept of this prototype framework can help infrastructure management agencies better manage their available funds for maintenance.

Purpose: To synthesize evidence on decisional needs assessments and patient decision aid (PtDA) trials based on the Ottawa Decision Support Framework (ODSF) in order to validate the concepts and test the main assertion in the ODSF. Decisional Needs: The systematic review studies (n=45) validated all of the decisional needs identified in the ODSF. Nine new manifestations of ODSF decisional needs emerged (e.g. information overload, unreceptive to information/deliberation, relationship barriers with practitioner). PtDAs: The sub-analysis identified 24 ODSF PtDA trials. Compared to usual care, ODSF PtDAs improved decision quality, addressed decisional needs and reduced decision delay. Further evaluation is needed on downstream impacts of these improvements on decision-making. Conclusions: Using Walker and Avant’s theory testing steps, the integrated findings from the systematic review and sub-analysis validated the ODSF decisional needs concepts and tested the main assertion in the ODSF (that PtDAs address decisional needs and improve decision quality).

Designing Net-Zero Energy Buildings (NZEB) is a complex and collaborative team process involving knowledge sharing of experts leading to the common goal of meeting the Net-Zero Energy (NZE) project objectives. The decisions made in the early stages of design drastically affect the final outcome of design and energy goals. The Architecture, Engineering and Construction (AEC) industry is pursuing ways to improve the current building design process and project delivery methods for NZEBs. To enable the building industry to improve the building design process, it is important to identify the gaps, ways of improvement and potential opportunities to structure the decision-making process for the purpose of NZE performance outcome. It is essential to identify the iterative phases of design decisions between the integrated team of experts for the design processes conducted in these early stages to facilitate the decision-making of NZEB design. The lack of a structured approach to help the AEC industry in making informed decisions for the NZEB context establishes the need to evaluate the argumentation of the NZEB design decision process. The first step in understanding the NZEB design decision process is to map the current processes in practice that have been successful in achieving the NZE goal. Since the energy use performance goal drives the design process, this research emphasizes first the need to document, in detail, and investigate the current NZEB design process with knowledge mapping techniques to develop an improved process specific to NZEB context. In order to meet this first objective, this research qualitatively analyzed four NZEB case studies that informed decision-making in the early design phases. The four components that were studied in the early design phases included (1) key stakeholders involved (roles played), (2) phases of assessments (design approach, (3) processes (key processes, sub-processes and design activities affecting performance) and (4) technology (knowledge type and flow). A series of semi-structured, open-ended interviews were conducted with the key decision-makers and decision facilitators to identify their roles in the early design processes, the design approach adopted, rationale for decision-making, types of evaluations performed, and tools used for analysis. The qualitative data analysis was performed through content analysis and cognitive mapping techniques. Through this process, the key phases of decision-making were identified that resulted in understanding of the path to achieving NZE design goal and performance outcome. The second objective of this research was to identify the NZE decision nodes through a comparative investigation of the case studies. This research also explored the key issues specific to each stakeholder group. The inter-relationships between the project objectives, decision context, occupants usage patterns, strategies and integrated systems, building operation and renewable energy production was identified through a series of knowledge maps and visual process models leading to the identification of the key performance indicators. This research reviewed the similarities and differences in the processes to identify significant opportunities that can improve the early building design process for NZEBs. This research identifies the key decision phases used by the integrated teams and describes the underlying structure that can change the order of key phases. A process mapping technique was adapted to capture the practice-based complex NZEB design approach and draw insights of the teamwork and interdisciplinary communication to enable more comprehensive understanding of linkages between processes, sub-processes and design activities, knowledge exchange, and decision rationale. Ket performance indicators identified for early design of NZEBs resulted in developing a decision-support process model that can help the AEC industry in making informed decisions. This dissertation helps improve understanding of linkages between processes, decision nodes and decision rationale to enable industry-wide NZEB design process assessment and improvement. This dissertation discusses the benefits the proposed NZEB design process model brings to the AEC industry and explores future development efforts. / Ph. D.