Simulation-Based Analysis of Energy and Carbon Emissions in the Housing Sector by Michael Gbolagade Oladokun & Clinton Ohis Aigbavboa

Author:Michael Gbolagade Oladokun & Clinton Ohis Aigbavboa
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

Model

Unstandardised coefficients

Standardised coefficients

t

Sig.

B

Std. error

Beta

1

(Constant)

−3.436E8

4,538,500.746

−75.712

.000

Population

.067

.017

.056

3.886

.000

Time

182,057.612

2746.898

.947

66.278

.000

Dependent variable: Households

(Source: [48])

4.8 Summary

The SD approach was selected as an appropriate modelling platform for the research reported in this book. The chapter then discussed the SD approach in full, starting with the historical overview of the approach. The chapter underpinned the SD approach both in theory and philosophy. As such, the SD approach was identified within the frame of the pragmatic paradigm. This indicates that any study involving SD falls within the purview of qualitative and quantitative research strategies. The chapter also succeeds in showing the SD approach as a multidisciplinary modelling method that has been used in many fields. Additionally, the chapter discussed the four stages involved in the SD modelling process, namely problem identification and definition; system conceptualisation; model formulation and behaviour analysis; model testing and validation, and policy formulation and analysis stages. Furthermore, DYNAMO, Powersim, STELLA/iThink, AnyLogic, and Vensim, some of the software under which SD can be implemented, were briefly discussed. The chapter indicated that Vensim was used as the modelling software for the book. This is because of its flexible graphical representations which aid its clarity in presenting the CLDs as well as its ability to incorporate optimisation. The discussion of the methods used in the development of the relationships (algorithms) among the model variables concludes the chapter. These methods include the use of SD functions within the Vensim software, regression analysis, and SEM as well as other established equations such as those provided in SAP algorithms. The next chapter discusses the application of the SD approach for modelling and simulating the energy and carbon emissions problem in housing using the UK housing sector as example.

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