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Reducing Australian motor vehicle greenhouse gas emissions

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  • Stanley, John
  • Ellison, Richard
  • Loader, Chris
  • Hensher, David

Abstract

Australians are one of the world’s highest per capita emitters of greenhouse gases, yet the country’s target for emissions reductions by 2030 remains modest. This paper looks at policy options for Australian cities to deliver faster emissions reductions than the national commitment level. The main focus is on an accelerated reduction in emissions from urban road transport, through technological improvements and behaviour changes. Targets are proposed for improved emissions intensities, to bring Australia much closer to US and EU performance expectations. A range of behaviour change measures is then tested on Melbourne and Sydney, the Sydney analysis using MetroScan-TI, an integrated evaluation framework, to explore how behaviour changes might enhance emissions outcomes. The potential contribution of public transport is a particular focus. The paper concludes that, with sufficient political will, Australia could reduce its 2030 road transport emissions to 40% below 2005 levels. This is a much larger reduction than the current 26–28% Australian target but is more consistent with longer term pathways to acceptable carbon budgets.

Suggested Citation

  • Stanley, John & Ellison, Richard & Loader, Chris & Hensher, David, 2018. "Reducing Australian motor vehicle greenhouse gas emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 76-88.
    • Handle: RePEc:eee:transa:v:109:y:2018:i:c:p:76-88
    DOI: 10.1016/j.tra.2018.01.002
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    References listed on IDEAS

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    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
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    5. Peter Stopher & John Stanley, 2014. "Introduction to Transport Policy," Books, Edward Elgar Publishing, number 15102.
    6. Stanley, John K. & Hensher, David A. & Loader, Chris, 2011. "Road transport and climate change: Stepping off the greenhouse gas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1020-1030.
    7. Iankov, Ivan & Taylor, Michael A.P. & Scrafton, Derek, 2017. "Forecasting greenhouse gas emissions performance of the future Australian light vehicle traffic fleet," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 125-146.
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    Citations

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    Cited by:

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    2. Xianchun Tan & Tangqi Tu & Baihe Gu & Yuan Zeng & Tianhang Huang & Qianqian Zhang, 2021. "Assessing CO 2 Emissions from Passenger Transport with the Mixed-Use Development Model in Shenzhen International Low-Carbon City," Land, MDPI, vol. 10(2), pages 1-19, February.
    3. Bhardwaj, Chandan & Axsen, Jonn & McCollum, David, 2022. "Which “second-best” climate policies are best? Simulating cost-effective policy mixes for passenger vehicles," Resource and Energy Economics, Elsevier, vol. 70(C).
    4. Jakučionytė-Skodienė, Miglė & Krikštolaitis, Ričardas & Liobikienė, Genovaitė, 2022. "The contribution of changes in climate-friendly behaviour, climate change concern and personal responsibility to household greenhouse gas emissions: Heating/cooling and transport activities in the Eur," Energy, Elsevier, vol. 246(C).
    5. Scott Dwyer & Claudine Moutou & Kriti Nagrath & Joseph Wyndham & Lawrence McIntosh & Dean Chapman, 2021. "An Australian Perspective on Local Government Investment in Electric Vehicle Charging Infrastructure," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    6. Siskos, Pelopidas & Moysoglou, Yannis, 2019. "Assessing the impacts of setting CO2 emission targets on truck manufacturers: A model implementation and application for the EU," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 123-138.
    7. Dianfeng Zhang & Yanlai Li & Yiqun Li & Zifan Shen, 2022. "Service Failure Risk Assessment and Service Improvement of Self-Service Electric Vehicle," Sustainability, MDPI, vol. 14(7), pages 1-26, March.

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    More about this item

    Keywords

    Climate change; Fuel tax; Greenhouse gas emissions; Emissions intensity; Travel behaviour change; Vehicle kilometres travel;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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