IDEAS home Printed from https://ideas.repec.org/a/taf/tcpoxx/v13y2013isup01p106-129.html
   My bibliography  Save this article

The transportation sector and low-carbon growth pathways: modelling urban, infrastructure, and spatial determinants of mobility

Author

Listed:
  • Henri-David Waisman
  • Celine Guivarch
  • Franck Lecocq

Abstract

This article contributes to the controversial debate over the effect of spatial organization on CO 2 emissions by investigating the potential of infrastructure measures that favour lower mobility in achieving the transition to a low-carbon economy. The energy-economy-environment (E3) IMACLIM-R model is used to provide a detailed representation of passenger and freight transportation. Unlike many of the E3 models used to simulate mitigation options, IMACLIM-R represents both the technological and behavioural determinants of mobility. By comparing business-as-usual, carbon price only, and carbon price combined with transport policy scenarios, it is demonstrated that the measures that foster a modal shift towards low-carbon modes and a decoupling of mobility needs from economic activity significantly modify the sectoral distribution of mitigation efforts and reduce the level of carbon tax necessary to reach a given climate target relative to a 'carbon price only' policy. Policy relevance Curbing carbon emissions from transport activities is necessary in order to reach mitigation targets, but it poses a challenge for policy makers. The transport sector has two peculiarities: a weak ability to react to standard pricing measures (which encourages richer policy interventions) and a dependence on long-lived infrastructure (which imposes a delay between policy interventions and effective action). To address these problems, a framework is proposed for analysing the role of transport-specific measures adopted complementarily to carbon pricing in the context of international climate policies. Consideration is given to alternative approaches such as infrastructure measures designed to control mobility through less mobility-intensive denser agglomerations, investment reorientation towards public mode, and logistics reorganization towards less mobility-dependent production processes. Such measures can significantly reduce transport emissions in the long term and hence would moderate an increase in the carbon price and reduce its more important detrimental impacts on the economy.

Suggested Citation

  • Henri-David Waisman & Celine Guivarch & Franck Lecocq, 2013. "The transportation sector and low-carbon growth pathways: modelling urban, infrastructure, and spatial determinants of mobility," Climate Policy, Taylor & Francis Journals, vol. 13(sup01), pages 106-129, March.
    • Handle: RePEc:taf:tcpoxx:v:13:y:2013:i:sup01:p:106-129
    DOI: 10.1080/14693062.2012.735916
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14693062.2012.735916
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14693062.2012.735916?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hourcade, Jean-Charles, 1993. "Modelling long-run scenarios : Methodology lessons from a prospective study on a low CO2 intensive country," Energy Policy, Elsevier, vol. 21(3), pages 309-326, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daly, Hannah E. & Ramea, Kalai & Chiodi, Alessandro & Yeh, Sonia & Gargiulo, Maurizio & Gallachóir, Brian Ó, 2014. "Incorporating travel behaviour and travel time into TIMES energy system models," Applied Energy, Elsevier, vol. 135(C), pages 429-439.
    2. Tattini, Jacopo & Gargiulo, Maurizio & Karlsson, Kenneth, 2018. "Reaching carbon neutral transport sector in Denmark – Evidence from the incorporation of modal shift into the TIMES energy system modeling framework," Energy Policy, Elsevier, vol. 113(C), pages 571-583.
    3. Ruben Bibas & C. Cassen & Renaud Crassous & Céline Guivarch & Meriem Hamdi-Cherif & Jean Charles Hourcade & Florian Leblanc & Aurélie Méjean & Eoin Ó Broin & Julie Rozenberg & Olivier Sassi & Adrien V, 2022. "IMpact Assessment of CLIMate policies with IMACLIM-R 1.1. Model documentation version 1.1," Working Papers hal-03702627, HAL.
    4. Tuydes-Yaman, Hediye & Dalkic-Melek, Gulcin & Chakarova, Kristiana & Ozcelik, Asli Sezer, 2024. "Barriers and opportunities (B&O) for developing low carbon transportation (LCT) policies in Turkey," Journal of Transport Geography, Elsevier, vol. 118(C).
    5. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    6. Salvucci, Raffaele & Tattini, Jacopo & Gargiulo, Maurizio & Lehtilä, Antti & Karlsson, Kenneth, 2018. "Modelling transport modal shift in TIMES models through elasticities of substitution," Applied Energy, Elsevier, vol. 232(C), pages 740-751.
    7. Faissal Jelti & Amine Allouhi & Kheira Anissa Tabet Aoul, 2023. "Transition Paths towards a Sustainable Transportation System: A Literature Review," Sustainability, MDPI, vol. 15(21), pages 1-25, October.
    8. Ruben Bibas & Aurélie Méjean, 2014. "Potential and limitations of bioenergy for low carbon transitions," Climatic Change, Springer, vol. 123(3), pages 731-761, April.
    9. Tattini, Jacopo & Ramea, Kalai & Gargiulo, Maurizio & Yang, Christopher & Mulholland, Eamonn & Yeh, Sonia & Karlsson, Kenneth, 2018. "Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model," Applied Energy, Elsevier, vol. 212(C), pages 265-282.
    10. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
    11. Muratori, Matteo & Jadun, Paige & Bush, Brian & Bielen, David & Vimmerstedt, Laura & Gonder, Jeff & Gearhart, Chris & Arent, Doug, 2020. "Future integrated mobility-energy systems: A modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    12. Christophe Cassen & Meriem Hamdi-Chérif & Giancarlo Cotella & Jacopo Toniolo & Patrizia Lombardi & Jean-Charles Hourcade, 2018. "Low Carbon Scenarios for Europe: An Evaluation of Upscaling Low Carbon Experiments," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    13. J.-F. Mercure & A. Lam & S. Billington & H. Pollitt, 2018. "Integrated assessment modelling as a positive science: private passenger road transport policies to meet a climate target well below 2 ∘C," Climatic Change, Springer, vol. 151(2), pages 109-129, November.
    14. Florian Leblanc & C. Cassen & Thierry Brunelle & Patrice Dumas & Aurélie Méjean, 2014. "Globis final report on Integrated Scenarios D30," CIRED Working Papers hal-01300545, HAL.
    15. Aurélie Méjean & Franck Lecocq & Yacob Mulugetta, 2015. "Equity, burden sharing and development pathways: reframing international climate negotiations," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 15(4), pages 387-402, November.
    16. Claire Nicolas & Stéphane Tchung-Ming & Emmanuel Hache, 2016. "Energy transition in transportation under cost uncertainty, an assessment based on robust optimization," Working Papers hal-02475943, HAL.
    17. Runsen Zhang & Tatsuya Hanaoka, 2022. "Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    18. Zhang, Runsen & Fujimori, Shinichiro & Dai, Hancheng & Hanaoka, Tatsuya, 2018. "Contribution of the transport sector to climate change mitigation: Insights from a global passenger transport model coupled with a computable general equilibrium model," Applied Energy, Elsevier, vol. 211(C), pages 76-88.
    19. Steve Pye & Chris Bataille, 2016. "Improving deep decarbonization modelling capacity for developed and developing country contexts," Climate Policy, Taylor & Francis Journals, vol. 16(sup1), pages 27-46, June.
    20. Xu, Jin-Hua & Guo, Jian-Feng & Peng, Binbin & Nie, Hongguang & Kemp, Rene, 2020. "Energy growth sources and future energy-saving potentials in passenger transportation sector in China," Energy, Elsevier, vol. 206(C).
    21. Sovacool, Benjamin K. & Daniels, Chux & AbdulRafiu, Abbas, 2022. "Transitioning to electrified, automated and shared mobility in an African context: A comparative review of Johannesburg, Kigali, Lagos and Nairobi," Journal of Transport Geography, Elsevier, vol. 98(C).
    22. Zhang, Runsen & Zhang, Junyi, 2021. "Long-term pathways to deep decarbonization of the transport sector in the post-COVID world," Transport Policy, Elsevier, vol. 110(C), pages 28-36.
    23. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    24. Siegmeier, Jan, 2015. "Keeping Pigou on tracks: second-best carbon pricing and infrastructure provision," MPRA Paper 69046, University Library of Munich, Germany, revised 25 Jan 2016.
    25. Berry, Carl & Börjesson, Maria, 2024. "Income and fuel price elasticities of car use on micro panel data," Energy Economics, Elsevier, vol. 135(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Renaud Crassous & Jean Charles Hourcade & Olivier Sassi, 2006. "Endogenous structural change and climate targets," Post-Print halshs-00009335, HAL.
    2. Renaud Crassous, Jean-Charles Hourcade, Olivier Sassi, 2006. "Endogenous Structural Change and Climate Targets Modeling Experiments with Imaclim-R," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 259-276.
    3. Meriem Hamdi-Cherif & Céline Guivarch & Philippe Quirion, 2011. "Sectoral targets for developing countries: combining 'common but differentiated re-sponsibilities' with 'meaningful participation'," Climate Policy, Taylor & Francis Journals, vol. 11(1), pages 731-751, January.
    4. Grubb, Michael & Chapuis, Thierry & Duong, Minh Ha, 1995. "The economics of changing course : Implications of adaptability and inertia for optimal climate policy," Energy Policy, Elsevier, vol. 23(4-5), pages 417-431.
    5. Michael Grubb, 1998. "The Timing of CO2 Emissions Abatement: An Overview of Economic Issues," Energy & Environment, , vol. 9(4), pages 399-412, June.
    6. Lecocq, Franck & Hourcade, Jean-Charles & Ha Duong, Minh, 1998. "Decision making under uncertainty and inertia constraints: sectoral implications of the when flexibility," Energy Economics, Elsevier, vol. 20(5-6), pages 539-555, December.
    7. Fabien Roques & Olivier Sassi & Céline Guivarch & Henri Waisman & Renaud Crassous & Jean Charles Hourcade, 2009. "Integrated Modelling of Economic-Energy-Environment Scenarios - The Impact of China and India's Economic Growth on Energy Use and CO2 Emissions," Working Papers hal-00866448, HAL.
    8. Ruben Bibas & Aurélie Méjean, 2012. "Negative emissions and ambitious climate policies in a second best world: A general equilibrium assessment of technology options in the electricity sector," EcoMod2012 4569, EcoMod.
    9. Ghersi, Frédéric & McDonnell, Simon & Sassi, Olivier, 2013. "Do overarching mitigation objectives dominate transport-specific targets in the EU?," Energy Policy, Elsevier, vol. 55(C), pages 3-15.
    10. Christophe Cassen & Meriem Hamdi-Chérif & Giancarlo Cotella & Jacopo Toniolo & Patrizia Lombardi & Jean-Charles Hourcade, 2018. "Low Carbon Scenarios for Europe: An Evaluation of Upscaling Low Carbon Experiments," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    11. Julien Lefevre, 2016. "A description of the IMACLIM-BR model: a modeling framework to assess climate and energy policy in Brazil [Une description du modèle IMACLIM-BR: un outil de modélisation pour évaluer les politiques," Working Papers hal-01685947, HAL.
    12. Fabien Roques & Olivier Sassi & Céline Guivarch & Henri Waisman & Renaud Crassous & Jean Charles Hourcade, 2009. "Integrated Modelling of Economic-Energy-Environment Scenarios - The Impact of China and India's Economic Growth on Energy Use and CO2 Emissions," CIRED Working Papers hal-00866448, HAL.
    13. Rakhmindyarto, Rakhmindyarto & Setyawan, Dhani, 2020. "Understanding the political challenges of introducing a carbon tax in Indonesia," MPRA Paper 111586, University Library of Munich, Germany, revised 02 Aug 2020.
    14. Carraro, Carlo & Galeotti, Marzio & Gallo, Massimo, 1996. "Environmental taxation and unemployment: Some evidence on the 'double dividend hypothesis' in Europe," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 141-181, October.
    15. Edenhofer, Ottmar & Jaeger, Carlo C., 1998. "Power shifts: the dynamics of energy efficiency," Energy Economics, Elsevier, vol. 20(5-6), pages 513-537, December.
    16. Grubb, Michael, 1997. "Technologies, energy systems and the timing of CO2 emissions abatement : An overview of economic issues," Energy Policy, Elsevier, vol. 25(2), pages 159-172, February.
    17. Shukla, P. R., 1995. "Greenhouse gas models and abatement costs for developing nations : A critical assessment," Energy Policy, Elsevier, vol. 23(8), pages 677-687, August.
    18. Lampin, Laure B.A. & Nadaud, Franck & Grazi, Fabio & Hourcade, Jean-Charles, 2013. "Long-term fuel demand: Not only a matter of fuel price," Energy Policy, Elsevier, vol. 62(C), pages 780-787.
    19. Pandey, Rahul, 2002. "Energy policy modelling: agenda for developing countries," Energy Policy, Elsevier, vol. 30(2), pages 97-106, January.
    20. Renaud Crassous & Jean Charles Hourcade & Olivier Sassi, 2006. "Endogenous Structural Change and Climate Targets : Modeling experiments with Imaclim-R," Working Papers hal-00866411, HAL.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tcpoxx:v:13:y:2013:i:sup01:p:106-129. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcpo20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.