TOC o "1-3" h z u Objective 1: Identification of specific sustainability issues (e.g., energy consumption, water consumption, etc) that to gain ins

TOC o "1-3" h z u Objective 1: Identification of specific sustainability issues (e.g., energy consumption, water consumption, etc) that to gain insights: PAGEREF _Toc139810337 h 1Objective 2: Selection and justification of appropriate variables to analyze the performance of a identified sustainability issue for this research project. PAGEREF _Toc139810338 h 5Objective 3 - Application visualization techniques (e.g., bar chart, histogram, line chart, etc) to describe the sustainability performance; PAGEREF _Toc139810339 h 6Objective 4 : Recommend actionable insights for GPT to improve their sustainability performance in the future. PAGEREF _Toc139810340 h 8GPTs sustainability performance: PAGEREF _Toc139810341 h 9The changes in GPTs sustainability performance over time PAGEREF _Toc139810342 h 11The changes in GPTs sustainability performance across geographical regions PAGEREF _Toc139810343 h 13The factors (e.g., renewable, non-renewable energies) that have contributed to GPTs decarbonization PAGEREF _Toc139810344 h 16The associations between GPTs sustainability performance and its financial performance. PAGEREF _Toc139810345 h 17GPTs sustainability performance before and after COVID-19 PAGEREF _Toc139810346 h 18References: PAGEREF _Toc139810347 h 19

Objective 1: Identification of specific sustainability issues (e.g., energy consumption, water consumption, etc) that to gain insights:

Objective 2: Selection and justification of appropriate variables to analyze the performance of a identified sustainability issue for this research project.

Objective 3 - Application visualization techniques (e.g., bar chart, histogram, line chart, etc) to describe the sustainability performance;

Objective 4 : Recommend actionable insights for GPT to improve their sustainability performance in the future.

GPTs sustainability performance:

Total energy consumption (Melb)= Total renewable energy + Total non-renewable energy.

= 876744.5639+319309.9412

= 1196054.50

Energy intensity = Energy usage * 1000/NLA

= 1196054.50*1000/ 3604476

= 331.82

Water consumption (Melb): 2491 + 2358490.8517

= 238340.8517

Water intensity = 238340.8517*1000/3604476 = 66.12

Waste management (Melb) = A grade + B grade + C grade

= 13,314.523

Carbon emission = Scope 1 + Scope 2 = 597067.3004

Emission intensity = 597067.3004*1000/3604476 = 165.64

Similarly,

Energy intensity (Syd) = 435.05

Water intensity (Syd) = 519.138

Waste management = 6622.52

Emission intensity = 176.514

Brisbane

Energy intensity = 662.910

Water intensity = 609.191

Waste management = 2192.29

Emission intensity = 338.44

CharlstownEnergy intensity = 534.054

Water Intensity = 543.57

Waste management = 4187.24

Emission intensity = 209.980

Port Melbourne

Energy intensity = 249.22

Water Intensity = 116.160

Waste management = 10.729

Emission intensity = 154.134

RousehillEnergy intensity = 191.46

Water Intensity = 1207.59

Waste management = 4378.77

Emission intensity = 28.368

Southbank

Energy intensity = 393.544

Water Intensity = 430.665

Waste management = 466.057

Emission intensity = 176.240

Parramatta

Energy intensity = 293.68

Water Intensity = 407.538

Waste management = 37.62

Emission intensity = 120.44

Home bush

Energy intensity = 276.618

Water Intensity = 314.87

Waste management = 21.22

Emission intensity = 118.505

The changes in GPTs sustainability performance over time

The changes in GPTs sustainability performance across geographical regions

Energy Intensity:

Melbourne: 331.82

Sydney: 435.05

Brisbane: 662.910

Charlestown: 534.054

Port Melbourne: 249.22

Rousehill: 191.46

Southbank: 393.544

Parramatta: 293.68

Homebush: 276,618

From above visuals and the data analytics, Brisbane appears to have the highest energy density, which means that the highest energy consumption per unit of Net Lettable Area (NLA) and Rouse Hill has the lowest energy density each, meaning very low energy consumption.

Water intensity:

Melbourne: 66.12

Sydney: 519.138

Brisbane: 609.191

Charlestown: 543.57

Port of Melbourne: 116.160

Rousehill: 1207.59

Southbank: 430.665

Parramatta: 407,538

Homebush: 314.87

Rousehill has the highest water intensity, indicating high water consumption per NLA unit. Port Melbourne has the lowest water availability, indicating the lowest water consumption.

Waste management:

Melbourne: 13,314.523

Sydney: 6622.52

Brisbane: 2192.29

Charlestown: 4187.24

Port of Melbourne: 10.729

Rousehill: 4378.77

Southbank: 466.057

Parramattah 37.62

Homebush: 21.22

Melbourne has the highest value in terms of waste consumption, indicating high levels of waste production or management. Homebush has the lowest waste consumption value, indicating minimal waste generation or efficient waste management practices.

Carbon emissions intensity:

Melbourne: 165.64

Sydney: 176.514

Brisbane: 338.44

Charlestown: 209,980

Port of Melbourne: 154.134

Rousehill: 28.368

Southbank: 176.240

By ParramattahHomebush: 118.505

Brisbane has the highest carbon emissions, indicating more carbon emissions per NLA unit. Rouse Hill has the lowest emissions, indicating very low levels of carbon emissions.

The factors (e.g., renewable, non-renewable energies) that have contributed to GPTs decarbonizationUse of renewable energy: GPT has prioritized the use of renewable energy as part of its sustainability goals. This includes investment in solar power systems and other renewable technologies on site itself. By increasing reliance on renewable sources such as solar energy, GPT can reduce its dependence on non-renewable sources and subsequently reduce carbon emissions

Energy efficiency: GPT has implemented energy efficiency measures at its properties to reduce overall energy consumption. These initiatives can include energy efficient lighting systems, HVSC (heating, ventilation and air conditioning) upgrades, and smart technologies for energy management and management Energy efficiency a they will improve GPT self-efficiency -Can reduce demand and subsequently carbon associated with energy consumption .Carbon offset: GPT has taken steps to offset carbon emissions by investing in carbon offset projects. Carbon offsets include investment in infrastructure that reduces or captures greenhouse gas emissions elsewhere, effectively balancing GPTs own emissions. By supporting carbon offset projects, GPT can help reduce the environmental impact of its activities and achieve carbon neutrality CITATION Int21 l 16393 ((IEA)., (2021). ).

Sustainable Logistics: GPT may have implemented sustainable logistics practices in its operations. This could include encouraging the use of electric or hybrid vehicles in its fleet, encouraging public transit or carpooling for employees, and offering cyclists the road has access to transport-related products can contribute to efforts to decarbonize GPT through emissions reduction.

Liaison with suppliers and partners: GPT can work closely with suppliers and partners to promote sustainable practices and reduce emissions disposal across the supply chain. This cooperation could include promoting energy-efficient products, responsible waste management, and other sustainable initiatives. By expanding its sustainability efforts beyond its operations, GPT can have a broader impact on decarbonisation.

The associations between GPTs sustainability performance and its financial performance.

Cost reduction: Sustainable practices such as energy efficiency and waste management can reduce costs for a company. Through energy efficiency, GPT can reduce its energy costs, resulting in potential savings. Similarly, effective waste management can reduce waste disposal costs. This cost reduction contributes to improved economic growth CITATION Pet21 l 16393 (Petri, (2021).

Risk Reduction: Sustainable practices help reduce environmental risks and compliance issues. By addressing sustainability challenges, such as reducing carbon or managing water use, GPT can reduce financial risks associated with potential penalties, regulations of litigation, or reputational damage This reduced risk can protect a companys financial stability and increase investor confidence.

Stakeholder engagement: Strong sustainability performance can have a positive impact on the perceptions of stakeholders, including investors, customers and employees. Increasingly and increasingly, stakeholders are considering environmental and social factors when making investment decisions or choosing partners. GPTs commitment to sustainability can attract socially responsible investors, enhance brand reputation, and enhance customer loyalty, which can translate into financial benefits.

Competitive advantage: Demonstration of sustainable practices and environmental management gives GPT a competitive advantage in the real estate industry. In a market where sustainability is paramount, GPT's sustainability leadership and certifications set the company apart from competitors, attracting tenants, investors and customers who value sustainable properties is viewed as valuable. This competitiveness improvement can contribute to further economic growth CITATION Zen20 l 16393 (Zeng, (2020). ).

Long-term resilience: Resilience strategies typically focus on long-term resource management and resilience. By prioritizing climate change risks, GPT can future-proof its operations and legacy. This flexibility enables it to reduce potential disruption, adapt to the changing regulatory framework, and take advantage of emerging sustainable development opportunities. As a result, GPT's economic growth can be further strengthened in the face of improved market conditions CITATION Int21 l 16393 ((IEA)., (2021). ).

GPTs sustainability performance before and after COVID-19Energy consumption: During the pandemic, there was considerable economic disruption to economic activity, including factory closures and housing population declines This may have reduced energy consumption because buildings needed less energy for lighting, heating, cooling and other services. The remote workflow also reduced energy consumption for navigation and transportation CITATION Hos21 l 16393 (Hossain, (2021). ). However, it should be noted that telecommuting has increased energy consumption in residential areas, and this reduction may have been partially offset by increased household demand.

Carbon emissions: The decline in energy consumption during the pandemic may have contributed to the decline in carbon emissions, especially as the reductions are primarily due to renewable energy sources due to declines in commercial travel and travel CITATION Zha21 l 16393 (Zhai, (2021)). However, it should be considered that changes in energy sources, such as greater reliance on private household energy consumption, may affect carbon emissions differently

Water use: Depending on the specific industry and industry, the types of water used during an outbreak can vary. In some industries, such as hospitality and retail, a major problem is the decrease in water consumption due to closure or limited operations On the other hand, there may be increased levels of sanitation in some industries e.g health and construction has led to the widespread use of water for sanitary purposes

Waste management: The epidemic likely had an impact on Waste management practices. Increased use of single-use personal protective equipment (PPE) and packaging, coupled with changes in consumer behavior, has led to increased waste generation in some areas, however, it is important to note note that waste management and recycling programs can be impacted by operational fluctuations and supply chain disruptions.

Shifting priorities and strategies: The pandemic highlighted the importance of resilience, health and safety. This may have led GPT and other organizations to reassess their sustainability priorities and adjust their strategies to meet emerging challenges. For example, there could be a greater focus on indoor air quality, health and safety measures and digital systems to support remote work and construction efficiencies.

References:Hossain, M.A., and Khaled, M.S.U. (2021). Assessing the Impact of COVID-19 Pandemic on Energy Consumption and CO2 Emissions in Developing Countries. Energy Reports, 7, 2450-2455.

Zhai, P., Zhou, Y., and Pei, T. (2021). COVID-19 Pandemic Impacts on Energy Consumption and Carbon Emissions: Evidence from China. Applied Energy, 285, 116519.

Petri, S., De Guio, R., and Siragusa, A. (2021). COVID-19 Pandemic: Review of the Existing Literature and the Effect on the Real Estate Market. Journal of Building Engineering, 43, 102980.

Zeng, Y., and Gao, M. (2020). Research on the Impact of COVID-19 on Commercial Real Estate Companies and Their Countermeasures. Financial Innovation, 6(1), 1-10.

International Energy Agency (IEA). (2021). Energy and CO2 Emissions in 2020: Global Energy Review. Retrieved from https://www.iea.org/reports/global-energy-review-2021/energy-and-co2-emissions-in-2020.