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Vulmob, a multidimensional vulnerability indicator to assess the impact of policies limiting car use - application to the Grenoble LEZ

Author

Listed:
  • Lola Blandin
  • Hélène Bouscasse
  • Sandrine Mathy

Abstract

Social (in)justice is an argument often put forward to explain the successive setbacks to the roll-out of low-emission zones (LEZs) in France. However, until now, this is not based on any rigorous assessment. We are developing a methodology for assessing the impact of a LEZ on mobility vulnerabilities based on a multidimensional vulnerability indicator (VulMob). We apply this methodology to the Grenoble region. Firstly, we show that the number of households without a solution is extremely low and that there are solutions to help these households specifically, without calling the whole policy into question. Moreover, modal shift appears to be a high-potential adaptation solution for all households, which could improve the environmental and health performance of the LEZs. It should be noted, however, that highly vulnerable households are more affected and more likely to remain without a solution other than buying a car that complies with the LEZ. This work can guide the operational implementation of the LEZs and the definition of support policies, taking into account vulnerability profiles and the specific characteristics of the area.

Suggested Citation

  • Lola Blandin & Hélène Bouscasse & Sandrine Mathy, 2025. "Vulmob, a multidimensional vulnerability indicator to assess the impact of policies limiting car use - application to the Grenoble LEZ," Working Papers 2025-05, Grenoble Applied Economics Laboratory (GAEL).
  • Handle: RePEc:gbl:wpaper:2025-05
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    File URL: https://gael.univ-grenoble-alpes.fr/sites/default/files/Mediatheque/doc-recherche/WP/A2024/gael2025-05.pdf
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    References listed on IDEAS

    as
    1. L. Blandin & Hélène Bouscasse & Sandrine Mathy, 2024. "Vulmob, a new multidimensional indicator of mobility vulnerability [Vulmob, un indicateur multidimensionnel de vulnérabilité relative à la mobilité]," Post-Print hal-04623216, HAL.
    2. van Dülmen, Christoph & Šimon, Martin & Klärner, Andreas, 2022. "Transport poverty meets car dependency: A GPS tracking study of socially disadvantaged groups in European rural peripheries," Journal of Transport Geography, Elsevier, vol. 101(C).
    3. Rim Rejeb & Hélène Bouscasse & Aïna Chalabaev & Sandrine Mathy, 2023. "What is the role of active mobility habits in the relationship between self-determination and modal shift intentions? A mediation analysis," Post-Print hal-03940743, HAL.
    4. Alonso-Epelde, E. & García-Muros, X. & González-Eguino, M., 2023. "Transport poverty indicators: A new framework based on the household budget survey," Energy Policy, Elsevier, vol. 181(C).
    5. Audrey Berry & Yves Jouffe & Nicolas Coulombel & Céline Guivarch, 2016. "Investigating fuel poverty in the transport sector: toward a composite indicator of vulnerability," Post-Print hal-01277414, HAL.
    6. Charles Raux & Stéphanie Souche, 2004. "The Acceptability of Urban Road Pricing: A Theoretical Analysis Applied to Experience in Lyon," Journal of Transport Economics and Policy, University of Bath, vol. 38(2), pages 191-215, May.
    7. Robin Lindsey & Ioannis Tikoudis & Katherine Hassett, 2023. "Distributional effects of urban transport policies to discourage car use: A literature review," OECD Environment Working Papers 211, OECD Publishing.
    8. Lowans, Christopher & Furszyfer Del Rio, Dylan & Sovacool, Benjamin K. & Rooney, David & Foley, Aoife M., 2021. "What is the state of the art in energy and transport poverty metrics? A critical and comprehensive review," Energy Economics, Elsevier, vol. 101(C).
    9. repec:hal:journl:hal-04267784 is not listed on IDEAS
    10. Blandin, L. & Bouscasse, H. & Mathy, S., 2024. "Vulmob, a new multidimensional indicator of mobility vulnerability," Energy Economics, Elsevier, vol. 136(C).
    11. Lola Blandin & Hélène Bouscasse & Sandrine Mathy, 2025. "Assessing the ex-ante impacts of a low-emission zone on transport poverty and vulnerability with the VulMob indicator," Post-Print hal-04766903, HAL.
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    Keywords

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    JEL classification:

    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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