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Mitigating climate change in city of Tshwane

                infrastructure in South Africa infrastructure and offers   (iii) Data  analysis:  The  datasets  were  analyzed  using
                insights into how to effectively mitigate these effects.  charts and pie  charts to visualize  the  trends in
                                                                        temperature, rainfall, and the cost implications of
                2. Methodology                                          climate change. In addition, the analysis explored
                                                                        how the  absence  of  adaptation  would  impact  the
                2.1. Research design                                    economy.
                The study is exploratory, quantitative, and descriptive   (iv) Modeling and simulation: A combination of DES
                in nature, aimed at gaining a deeper understanding of a   and SD was employed to model and simulate the
                persistent phenomenon. Climate change is considered     effects  of  variables  classified  as  extreme  events
                a persistent challenge, and the exploratory aspect seeks   (such as GHG emissions, extreme  temperatures,
                to answer questions, address phenomena, or identify     drought,  rainfall,  and  flooding)  on  the  city’s
                general principles to explain the phenomenon, utilizing   road and stormwater infrastructure and GDP
                the inductive method. In exploratory research, primary   performance. These extreme events are considered
                or secondary  data  are  collected  and organized  for   the  effects  of  climate  change.  The  goal  of  the
                synthesis.  In this study, secondary data were collected   modeling and simulation was to ascertain the effects
                        30
                and analyzed.                                           of these extreme events on the city’s infrastructure
                  The quantitative  method was employed  because        and economic activities (reflected in the GDP) to
                it allows for the representation of measured variables   facilitate  appropriate  policy  recommendations
                numerically  in  terms  of amount,  quantity, frequency,   for  effective  climate  change  mitigation  and
                or rate. These variables’ associations with other factors   adaptation.  Finally, conclusions were  drawn, and
                can  be  determined  via  systematic  measurement  and   recommendations  were made to support climate
                statistical analysis. 31,32                             change mitigation and adaptation efforts.
                  Figure 1 shows the research methodology of the study
                and the steps followed during the research, summarizing   Figure 2 illustrates the conceptual framework, linking
                the approach employed in the study. As discussed in the   the key variables derived from the literature related to
                literature section, variables such as the amount of rainfall,   climate change. These variables include the amount of
                GDP, greenhouse gas (GHG) emissions, extreme events,   rainfall,  GDP,  the  greenhouse  effect,  extreme  events,
                and infrastructure  performance  are  related  to climate   and infrastructure  performance.  The  major  threats
                change. Therefore, secondary quantitative data on these   are the greenhouse effect and extreme events, such as
                variables were collected and compared using regression   rainfall, flooding, drought, and extreme temperatures.
                graphs, Microsoft Excel,  and  AnyLogic software to
                answer the research questions.                      2.2. Case study
                  The  methods  applied  in  this  study  quantified  and   For the purpose of this study, a case study was employed
                analyzed variables to obtain results. These include:  to  gain  an  in-depth  understanding  of  the  complex
                (i)  Inductive  reasoning:  Collection  and  analysis  of   issue of climate  change  impacts.  Existing  studies
                   historical data (temperature and rainfall) to identify   indicate the suitability of the case study approach for
                   trends related  to climate  change impacts  and to   investigating multifaceted and complex issues, making
                   draw conclusions.                                it extensively applicable across different fields. 33,34  This
                (ii)  Data collection: Historical quantitative datasets on   approach allows researchers to explore and understand
                   rainfall,  temperature,  and  capital  expenditure  on   intricate issues by analyzing past reports or studies. It is
                   infrastructure in the City of Tshwane were obtained   considered a suitable research method, especially when
                   from the South African Weather Service (SAWS)    a holistic, in-depth investigation is conducted. The case
                   and the City of Tshwane.                         study method transcends quantitative statistical results











                     Figure 1. A comprehensive guide to the quantitative research methodology employed in this study



                Volume 22 Issue 2 (2025)                       187                           doi: 10.36922/AJWEP025080049
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