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Modal shift and interurban mobility: Environmentally positive, socially regressive

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  • Conti, Benoit

Abstract

The aim of this article is to conduct an analysis of the consequences of public modal shift policies on interurban journeys in France (people who live and work in two separate functional urban areas). It measures and analyses three facets of these policies: the potential for a modal shift from the car to public transport, the environmental consequences (CO2 emissions) and the social consequences (transport costs) of such a shift. The increase in travel costs brought about by higher fuel prices or from charges for access to urban centres, together with a reduction in the costs of travelling by public transport, are the three elements which – according to the models – have the biggest influence on modal shift and the reduction in CO2 emissions. However, our findings also show that these policies are socially regressive in that they financially advantage the higher socio-economic categories.

Suggested Citation

  • Conti, Benoit, 2018. "Modal shift and interurban mobility: Environmentally positive, socially regressive," Journal of Transport Geography, Elsevier, vol. 69(C), pages 234-241.
    • Handle: RePEc:eee:jotrge:v:69:y:2018:i:c:p:234-241
    DOI: 10.1016/j.jtrangeo.2018.05.007
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    References listed on IDEAS

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    1. Benoit CONTI, 2017. "La mobilité pendulaire des interurbains et leurs impacts sur les émissions de CO2 , un enjeu d'aménagement," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 46, pages 77-92.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    3. De Lapparent, Matthieu, 2005. "Déplacements domicile-travail en Île-de-France et choix individuels du mode de transport," L'Actualité Economique, Société Canadienne de Science Economique, vol. 81(3), pages 485-520, Septembre.
    4. Laudo M. Ogura, 2010. "Effects of Urban Growth Controls on Intercity Commuting," Urban Studies, Urban Studies Journal Limited, vol. 47(10), pages 2173-2193, September.
    5. Louafi Bouzouina & Jean-Pierre Nicolas, 2009. "Harmoniser politiques sociale et environnementale : évaluation de l'impact d'une réhabilitation de quartiers défavorisés sur les émissions de CO2 liées aux déplacements," Post-Print halshs-00630552, HAL.
    6. Roberto Camagni & Maria Cristina Gibelli & Paolo Rigamonti, 2002. "Forme urbaine et mobilité : les coûts collectifs des différents types d'extension urbaine dans l'agglomération milanaise," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(1), pages 105-139.
    7. A. de Palma & C. Fontan, 2001. "Choix modal et valeur du temps en Ile-de-France," THEMA Working Papers 2001-20, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
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    Cited by:

    1. Raimbault, Juste & Le Néchet, Florent, 2021. "Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Schwanen, Tim, 2019. "Transport geography, climate change and space: opportunity for new thinking," Journal of Transport Geography, Elsevier, vol. 81(C).
    3. Alexis Poulhès & Angèle Brachet, 2021. "Does Revitalizing the Center of Mid-Sized French Cities Reduce GHG Emissions from Commuting?," Sustainability, MDPI, vol. 13(4), pages 1-19, February.

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