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Explaining “peak car” with economic variables

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  • Bastian, Anne
  • Börjesson, Maria
  • Eliasson, Jonas

Abstract

Many western countries have seen a plateau and subsequent decrease of car travel during the 21st century. What has generated particular interest and debate is the statement that the development cannot be explained by changes in traditional explanatory factors such as GDP and fuel prices. Instead, it has been argued, the observed trends are indications of substantial changes in lifestyles, preferences and attitudes to car travel; what we are experiencing is not just a temporary plateau, but a true “peak car”. However, this study shows that the traditional variables GDP and fuel price are in fact sufficient to explain the observed trends in car traffic in all the countries included in our study: the United States, France, the United Kingdom, Sweden and (to a large extent) Australia and Germany. We argue that the importance of the fuel price increases in the early 2000s has been underappreciated in the studies that shaped the later debate. Results also indicate that GDP elasticities tend to decrease with rising GDP, and that fuel price elasticities tend to increase at high price levels and during periods of rapid price increases.

Suggested Citation

  • Bastian, Anne & Börjesson, Maria & Eliasson, Jonas, 2016. "Explaining “peak car” with economic variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 236-250.
  • Handle: RePEc:eee:transa:v:88:y:2016:i:c:p:236-250
    DOI: 10.1016/j.tra.2016.04.005
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    Cited by:

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    3. Wang, Xize, 2019. "Has the relationship between urban and suburban automobile travel changed across generations? Comparing Millennials and Generation Xers in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 107-122.
    4. Greg Marsden & Noreen C. McDonald, 2019. "Institutional issues in planning for more uncertain futures," Transportation, Springer, vol. 46(4), pages 1075-1092, August.
    5. Jorge Ubirajara Pedreira Junior & Antônio Nélson Rodrigues da Silva & Cira Souza Pitombo, 2022. "Car-Free Day on a University Campus: Determinants of Participation and Potential Impacts on Sustainable Travel Behavior," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    6. Richard Grimal, 2018. "Faut-Il Reduire L'Usage De La Voiture ? Couts Sociaux Et Benefices Environnementaux De Differents Scenarios Economiques Et Technologiques A L'Horizon 2060," Post-Print hal-02164869, HAL.
    7. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
    8. Yusak O. Susilo & Chengxi Liu & Maria Börjesson, 2019. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Transportation, Springer, vol. 46(3), pages 793-818, June.
    9. Meng Zhou & Donggen Wang, 2019. "Investigating inter-generational changes in activity-travel behavior: a disaggregate approach," Transportation, Springer, vol. 46(5), pages 1643-1687, October.
    10. Vij, Akshay & Gorripaty, Sreeta & Walker, Joan L., 2017. "From trend spotting to trend ’splaining: Understanding modal preference shifts in the San Francisco Bay Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 238-258.
    11. Alemi, Farzad & Circella, Giovanni & Mokhtarian, Patricia & Handy, Susan, 2018. "Exploring the latent constructs behind the use of ridehailing in California," Journal of choice modelling, Elsevier, vol. 29(C), pages 47-62.
    12. Eva Heinen & Giulio Mattioli, 2019. "Does a high level of multimodality mean less car use? An exploration of multimodality trends in England," Transportation, Springer, vol. 46(4), pages 1093-1126, August.

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    More about this item

    Keywords

    Peak car; Fuel price elasticity; GDP elasticity; Travel demand;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • 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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