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Simulating electric vehicle policy in the Australian capital territory

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  • Vidyattama, Yogi
  • Tanton, Robert
  • Sinclair, Darren
  • Schirmer, Jacki

Abstract

Increased use of electric vehicles (EVs) has the potential to reduce carbon emissions. Therefore, predicting the impact of governments' EV incentive policies on the future uptake of EVs is important. This study estimates the impact of incentive policies introduced in the Australian Capital Territory. This estimation is conducted through constructing a microsimulation model and using it to assess the impact of the incentive policies on the purchase of EVs for households in different income quintiles. In the model, the decision about purchasing an EV is based largely on the total cost of ownership of an EV compared to the vehicle already owned and the additional utility of having a new vehicle. The application of the model shows that, regardless of incentives, a drop in the price of EVs will play the most important role in uptake. Incentives will help lower to middle income households, although EV demand is dominated by those in the highest income quintile. Importantly, however, incentives can increase uptake in locations with previously low uptake. Future work needs to focus on the reliability of data on EV's, and how to incorporate the rapid change in the market (eg, rapid uptake of EV's in the ACT) seen in the last few years.

Suggested Citation

  • Vidyattama, Yogi & Tanton, Robert & Sinclair, Darren & Schirmer, Jacki, 2024. "Simulating electric vehicle policy in the Australian capital territory," Transport Policy, Elsevier, vol. 149(C), pages 91-99.
  • Handle: RePEc:eee:trapol:v:149:y:2024:i:c:p:91-99
    DOI: 10.1016/j.tranpol.2024.01.018
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    References listed on IDEAS

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    1. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    2. Heffner, Reid R. & Kurani, Kenneth S & Turrentine, Tom, 2007. "Symbolism and the Adoption of Fuel-Cell Vehicles," Institute of Transportation Studies, Working Paper Series qt5934t20f, Institute of Transportation Studies, UC Davis.
    3. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    4. Vidyattama, Yogi & Tanton, Robert & Nakanishi, Hitomi, 2021. "Investigating Australian households’ vehicle ownership and its relationship with emission tax policy options," Transport Policy, Elsevier, vol. 114(C), pages 196-205.
    5. Plötz, Patrick & Schneider, Uta & Globisch, Joachim & Dütschke, Elisabeth, 2014. "Who will buy electric vehicles? Identifying early adopters in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 96-109.
    6. Jinjing Li & Yogi Vidyattama & Hai Anh La & Riyana Miranti & Denisa M. Sologon, 2022. "Estimating the Impact of Covid-19 and Policy Responses on Australian Income Distribution Using Incomplete Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 1-31, July.
    7. Robert Tanton & Yogi Vidyattama & Binod Nepal & Justine McNamara, 2011. "Small area estimation using a reweighting algorithm," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(4), pages 931-951, October.
    8. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    9. Sovacool, Benjamin K. & Kester, Johannes & Noel, Lance & de Rubens, Gerardo Zarazua, 2019. "Energy Injustice and Nordic Electric Mobility: Inequality, Elitism, and Externalities in the Electrification of Vehicle-to-Grid (V2G) Transport," Ecological Economics, Elsevier, vol. 157(C), pages 205-217.
    10. Zachary P. Cano & Dustin Banham & Siyu Ye & Andreas Hintennach & Jun Lu & Michael Fowler & Zhongwei Chen, 2018. "Batteries and fuel cells for emerging electric vehicle markets," Nature Energy, Nature, vol. 3(4), pages 279-289, April.
    11. Caulfield, Brian & Farrell, Séona & McMahon, Brian, 2010. "Examining individuals preferences for hybrid electric and alternatively fuelled vehicles," Transport Policy, Elsevier, vol. 17(6), pages 381-387, November.
    12. Ozaki, Ritsuko & Sevastyanova, Katerina, 2011. "Going hybrid: An analysis of consumer purchase motivations," Energy Policy, Elsevier, vol. 39(5), pages 2217-2227, May.
    13. Sarah E. West, 2005. "Equity Implications of Vehicle Emissions Taxes," Journal of Transport Economics and Policy, University of Bath, vol. 39(1), pages 1-24, January.
    14. Broadbent, Gail Helen & Allen, Cameron Ian & Wiedmann, Thomas & Metternicht, Graciela Isabel, 2022. "Accelerating electric vehicle uptake: Modelling public policy options on prices and infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 155-174.
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