Title

Key to Net Zero: Investigating Victoria’s EV Gap

Introduction / Story Pitch

The Climate Change Act was passed in 2022 to target zero emissions for all sectors in Australia, by 2050 (Net Zero Economy Authority, n.d.). To aid with the transition, Australia also has a plan to reach its emissions levels from 2005 by 2035 (Department of Climate Change, Energy, the Environment and Water [DCCEEW], 2025). While the electricity sector has made remarkable progress through the renewable energy transition, transport emissions are going the opposite direction. This report examines the factors driving consistently high transport emissions, with a focus on Victoria. It explores whether greater adoption of electric vehicles (EVs) could reduce emissions from passenger cars, a major contributor to the sector’s emissions, and considers whether EVs are an accessible solution for all Victorians or primarily for higher-income households. There are many ways the transport sector’s emissions can be decreased, but looking at the possibility of shifting to EV vehicles is just one angle to look at.

Transport Energy Subsector Is Heading in the Wrong Direction

Since 2005, electricity has been the only energy subcategory whose emissions are consistently decreasing. On the other hand, the transport energy subcategory has failed to decline, and it has actually risen above the 2005 baseline it was supposed to work towards reaching by 2035. Slowly, it has moved further from the net zero target, ever since the Climate Change Act was passed in 2022.

p1

Road Transport Dominates the Sector

Breaking transport into its modes reveals that road transport consistently accounts for the overwhelming majority of emissions. Aviation, rail, and maritime forms or transport account for very little.

p2

Within Road Transport, Cars Are the Biggest Problem

Among road vehicles, cars and light vehicles significantly dwarf every other category combined. This highlights their contribution to Australia’s transport emissions, and their potential impact should this sector’s emissions be reduced.

p3

EVs Are Growing, Especially in Wealthier Suburbs

Given that car emissions are the top contributors to the transport sector’s consistently high amounts of emissions, electric (EV) or hybrid vehicles are a viable solution to reduce these emissions. Zooming into Victoria, however, a clear pattern is seen, where wealthier postcodes have higher EV ownership rates.

p4

There is an EV Divide by Postcode

Mapped across Victoria, the EV divide becomes geographic. Wealthy inner-eastern suburbs are shaded darker, indicating more EV car ownership. Outside this are communities below the SEIFA percentile, which could be home to renters, younger families, or households with lower socio-economic status. Perhaps if EV use can reach these outer suburbs, Australia’s transport emissions can decrease far enough to meet its 2050 target.

#EV Share & Socio-Economic Status Per Victorian Postcode
p5

Acknowledgement

The use of Claude (Anthropic, 2026) was primarily as a data gatherer, initial coder, and debugger. For example, the conversation with Claude started with initial prompts to explore possible topics to do for this assignment. The direction to look into the energy sector was set by the author of the report, using Claude to facilitate the speed of researching and choosing a topic. Claude was also used to create an initial list of reliable data sources to use to create the data visualisations. The author then verified these data sources by inspecting them one by one, and choosing those which could be more relevant for the report.

Claude was also used to create initial code snippets, with prompts from the author to guide what code needed to be produced. Often times, Claude was also asked to explain the codes line by line to help the author understand what was being done in the code, enabling the author to modify the code if needed. Claude was most useful creating initial codes involving more uncommon packages (such as leaflet or sf), as well as exploring options to include interactivity for the graphs created.

Lastly, Claude was used as a tool to debug any code issues and proofread the short captions created in the report.

Once again, although Claude was used all throughout the report, all the ideas, final direction, and visualisation choices were done by the author.

Furthermore, the course material (Baglin, 2026) was also heavily used as inspiration, especially for creating different ways to make the graphs more interactive. For example, Chapter 8’s ‘Adding Interactivity’ section was used to gather inspiration on how to make graphs more interactive, by adding time series sliders, clickable dots in a scatter plot, or buttons. Chapter 4’s ‘Accessibility and Deception’ section was a reminder to create more accessible data visualisations for all audiences. Referencing the course material has aided much of the report’s direction and quality.

References

Anthropic (2026, May 18). Australian Energy Datasets [Generative AI chat]. Claude Sonnet 4.6. https://claude.ai/share/01c705bf-1000-4278-8efd-d1b316a97ad3

Australian Bureau of Statistics. (2021). Socio-economic indexes for areas (SEIFA), Australia [Data set: Postal area indexes, Table 3]. https://www.abs.gov.au/statistics/people/people-and-communities/socio-economic-indexes-areas-seifa-australia/2021

Australian Bureau of Statistics. (2021). Postal areas — Digital boundary files [Shapefile: POA_2021_AUST_GDA2020]. https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files

Baglin, J. (2026). Data Visualisation: From Theory to Practice [Main Course Resource]. RMIT Canvas. https://data-visualisation.stem.melbourne/

Bureau of Infrastructure and Transport Research Economics. (2025). Transport energy and environment—Yearbook 2024 [Data set]. Bureau of Infrastructure and Transport Research Economics. https://www.bitre.gov.au/publications/2024/australian-infrastructure-and-transport-statistics-yearbook-2024/transport-energy-environment

Department of Climate Change, Energy, the Environment and Water. (2024). National Greenhouse Gas Inventory Quarterly Update: September 2025 [Data file: dcceew_historicals.xlsx, Table 1A]. Australian Government. https://www.dcceew.gov.au/climate-change/publications/national-greenhouse-gas-inventory-quarterly-update-september-2025

Department of Climate Change, Energy, the Environment and Water. (2025, November 25). Net zero. Australian Government. https://www.dcceew.gov.au/climate-change/emissions-reduction/net-zero

Department of Infrastructure, Transport, Regional Development, Communications and the Arts. (2026). Whole fleet vehicle registration snapshot by postcode Q1 2026 [Data set]. Australian Government. https://opendata.transport.vic.gov.au/dataset/whole-fleet-vehicle-registration-snapshot-by-postcode

Mathlogic. (n.d.). Coloring for colorblindness. https://davidmathlogic.com/colorblind/

Net Zero Economy Authority. (n.d.). Net zero. Australian Government. https://www.netzero.gov.au/net-zero

Proctor, M. (n.d.). Australian postcodes [Data set: australian_postcodes.csv]. https://www.matthewproctor.com/australian_postcodes