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Les transports en Chine en 2050 : rapport final

Author

Listed:
  • Dominique Bouf

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Pierre-Yves Péguy

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Stéphanie Souche

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Louis Routhier

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Nicolas Ovtracht

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

Transportation in China in 2050. -Several studies have concluded that, in 2050, China will be developed, with a GDP per capita comparable to Japan in 2000. This result derives from reasonable assumptions on the economic and demographic evolution of China, the report BRIC (Goldman and Sachs) being the most popular example of this kind of projections. The objective of this report is to envision how China can cope with such a fast growth, as transportation infrastructures appear very poor, as of 2000. Will the economic growth or the mobility be constrained by insufficient transport investment?The strong economic growth of China is coming after several other examples, notably Japan and Korea. What is more specific to China is the size of the population, the extent of the territory, combined with its density (in the East and Center regions). So China is facing unprecedented challenges, to serve this vast territory. In this presentation, we will address the question of interurban transportation and urban transportation. The basic methodology is to compare China to currently developed countries. To that end, various scenarios are built on macro economics, demographics, urbanization and regional balance.Then the methodology relies on various approaches:- comparison with existing developed countries ;- projections according to different methods;- modeling (China is supposed to be comparable to a sample of countries, given some explanatory variables).The main conclusions are the following:- China economic growth will be hindered by the insufficient capacity of the inter urban network, this might be the cause of serious regional imbalance. - Thus China will have a large car fleet but the yearly mileage of these vehicles will be very low according to international standards;- Regarding urban transportation, some serious TDM measures will be needed, if the current trend of urbanization keeps on the same pace.

Suggested Citation

  • Dominique Bouf & Pierre-Yves Péguy & Stéphanie Souche & Jean-Louis Routhier & Nicolas Ovtracht, 2006. "Les transports en Chine en 2050 : rapport final," Post-Print halshs-00107061, HAL.
    • Handle: RePEc:hal:journl:halshs-00107061
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00107061v1
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    References listed on IDEAS

    as
    1. Charles Raux & Stéphanie Souche, 2001. "L'acceptabilité des changements tarifaires dans le secteur des transports : comment concilier efficacité et équité ?," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(4), pages 539-558.
    2. Kenneth Button & Erik Verhoef (ed.), 1998. "Road Pricing, Traffic Congestion and the Environment," Books, Edward Elgar Publishing, number 940.
    3. Sophie Masson & Romain Petiot & Iragaël Joly, 2004. "The main determinants of the demand for public transport: An international econometric comparative analysis," Post-Print hal-02898798, HAL.
    4. Sophie Masson & Romain Petiot & Iragaël Joly, 2004. "The main determinants of the demand for public transport: An international econometric comparative analysis," Post-Print hal-02921106, HAL.
    5. repec:cdl:uctcwp:qt5165m7jr is not listed on IDEAS
    6. Sophie Masson & Romain Petiot & Iragaël Joly, 2004. "The main determinants of the demand for public transport: An international econometric comparative analysis," Post-Print hal-02911516, HAL.
    7. F. H. Knight, 1924. "Some Fallacies in the Interpretation of Social Cost," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 38(4), pages 582-606.
    8. repec:cdl:uctcwp:qt8kk909p1 is not listed on IDEAS
    9. Jean-Louis Routhier & Erwan Segalou & Sandrine Durand, 2001. "Mesurer l'impact du transport de marchandises en ville. Le modèle de simulation FRETURB (Version 1)," Working Papers halshs-01687528, HAL.
    10. Sophie Masson & Romain Petiot & Iragaël Joly, 2004. "The main determinants of the demand for public transport: An international econometric comparative analysis," Post-Print hal-02876935, HAL.
    11. Lave, Charles, 1994. "The demand curve under road pricing and the problem of political feasibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(2), pages 83-91, March.
    12. Sophie Masson & Romain Petiot & Iragaël Joly, 2004. "The main determinants of the demand for public transport: An international econometric comparative analysis," Post-Print hal-02938354, HAL.
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