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Assessing 50 innovative mobility offers in low-density areas: a French application using a two-step decision-aid method

Author

Listed:
  • Rémy Le Boennec

    (Institut VEDECOM, LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Isabelle Nicolaï

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines)

  • Pascal da Costa

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

Abstract

In this article we propose a decision-aid tool for local authorities to plan and implement their transport policies. We set out sustainable-mobility scenarios that depend on the geographical contexts of different areas based on 50 mobility offers, including active modes, car-sharing, public transport, etc. To do so we appeal to a multi-criteria decision analysis (MCDA), relying on an original two-step assessment method. We first use the diviz decision-aid tool to obtain a global score for each mobility offer, on the basis of 18 criteria covering the three pillars of sustainable development (economy, environment and society) and the concerns of the mobility actors themselves (historical actors, newcomers, public authorities and users). This step supports mobility management by local authorities, as it makes it possible to rank mobility offers by type of area. Second, we use the MICMAC decision-aid tool to construct the influence and dependency relationships between our 18 criteria. The aim of this step is to identify some relevant criteria that are determinant in a prospective or strategic analysis, in order to consider what could be a development scenario for the future of everyday mobility in various areas. As alternatives to personal car are rare, we apply this two-step method to the case of low-density areas, and find highlighting results concerning the role of carpooling combined with walking, both being assisted by a powerful mobility application.
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Suggested Citation

  • Rémy Le Boennec & Isabelle Nicolaï & Pascal da Costa, 2018. "Assessing 50 innovative mobility offers in low-density areas: a French application using a two-step decision-aid method," Post-Print halshs-01942716, HAL.
    • Handle: RePEc:hal:journl:halshs-01942716
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    Cited by:

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    2. Jamile Eleutério Delesposte & Luís Alberto Duncan Rangel & Marcelo Jasmim Meiriño & Ramon Baptista Narcizo & André Armando Mendonça de Alencar Junior, 2021. "Use of multicriteria decision aid methods in the context of sustainable innovations: bibliometrics, applications and trends," Environment Systems and Decisions, Springer, vol. 41(4), pages 501-522, December.
    3. Alberica Domitilla Bozzi & Anne Aguilera, 2021. "Shared E-Scooters: A Review of Uses, Health and Environmental Impacts, and Policy Implications of a New Micro-Mobility Service," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    4. Jaroslav Mašek & Vladimíra Štefancová & Jaroslav Mazanec & Petra Juránková, 2023. "The Classification of Application Users Supporting and Facilitating Travel Mobility Using Two-Step Cluster Analysis," Mathematics, MDPI, vol. 11(9), pages 1-16, May.

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    More about this item

    Keywords

    Decision aid method; Multicriteria decision aid MCDA; Urban mobility practices; Indicator-Based Sustainability Assessment;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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