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Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework

Authors: Rémy Le Boennec; Isabelle Nicolaï; Pascal Da Costa;

Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework

Abstract

In this article we seek to elaborate various sustainable mobility scenarios depending on heterogeneous geographical contexts. We use a multicriteria decision analysis (MCDA) to assess 50 mobility offers, relying on an original two-step assessment method. In a first step, we use the diviz decision-aid tool to obtain a global score for every offer, on the basis of 18 criteria that cover the three domains of sustainable development: economics, environment, society. In a second step, we use the MICMAC decision-aid tool to build relationships of influence and dependency between the 18 criteria. For each type of territory, we state what could be a development scenario for the future of mobility. Ultimately, an innovative hybrid mobility solution relies on the strengths and levers of the offers that were assessed, in response to the mobility scenario. We identify relevant solutions for dense and low-dense areas: in particular, carpooling offers reach particular efficiency in low-dense areas, combined with walking practices. Such combinations should be assisted by reliable multimodal mobility applications.

Country
France
Related Organizations
Keywords

Analyse multi critère, Performance / performance, multicriteria decision analysis, decision-aid tool, mobility offer, mobility usage., Multicriteria Decision Analysis MCDA, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, decision-aid support, Multicriteria decision aid, decision-aid tool, mobility use, mobility usage, mobility offer

27 references, page 1 of 3

Barbosa, S. B., Ferreira, M. G. G., Nickel, E. M., Cruz, J. A., Forcellini, F. A., Garcia, J., de Andrade, J. B. S. O., 2017. Multi-criteria analysis model to evaluate transport systems: An application in Florianópolis, Brazil. Transportation Research Part A: Policy and Practice 96, 1-13.

Beria, P., Maltese, I., Mariotti, I., 2012. Multicriteria versus Cost Benefit Analysis: a comparative perspective in the assessment of sustainable mobility. European Transport Research Review 4(3), 137-152. [OpenAIRE]

Bueno, P. C., Vassallo, J. M., Cheung, K., 2015. Sustainability assessment of transport infrastructure projects: a review of existing tools and methods. Transport Reviews 35(5), 622-649.

Buhler, T., 2012. Eléments pour la prise en compte de l'habitude dans les pratiques de déplacements urbains: Le cas des résistances aux injonctions au changement de mode de déplacement sur l'agglomération lyonnaise (Doctoral dissertation, INSA de Lyon).

Cailloux, O., Mayag, B., Meyer, P., Mousseau, V., 2013. Operational tools to build a multicriteria territorial risk scale with multiple stakeholders. Reliability Engineering & System Safety 120, 88-97. [OpenAIRE]

CGDD, DGE, PIPAME, 2016. “Usages novateurs de la voiture et nouvelles mobilités”, Rapport final, 270 p.

Chronos, L'Obsoco, 2016. L'observatoire des mobilités émergentes, Vague 2, sept. 2016, 217 p.

Créno, L., 2016. User experience of Dynamic Carpooling: How to encourage drivers and passengers? In: Energy Consumption and Autonomous Driving (pp. 71-81). Springer, Cham.

Dantan, S., Bulteau, J., Nicolaï, I., 2015. Hurried or risk-adverse travelers: who will pay more for multimodal information?. Procedia Engineering 115, 61-68. [OpenAIRE]

Dantan, S., Bulteau, J., Nicolaï, I., 2017. Enhancing sustainable mobility through a multimodal platform: would travellers pay for it?. International Journal of Sustainable Development 20(1-2), 33-55.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
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403
214
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