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Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework
Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework
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.
- Université Paris Diderot France
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
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.
1 Research products, page 1 of 1
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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.