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User-centric vision for mobility in 2030: Participatory evaluation of scenarios by the multi-actor multi-criteria analysis (MAMCA)

Authors: Imre Keseru; Thierry Coosemans; Eliza Gagatsi; Cathy Macharis;

User-centric vision for mobility in 2030: Participatory evaluation of scenarios by the multi-actor multi-criteria analysis (MAMCA)

Abstract

Mobility4EU is an EU-funded project that will deliver a vision for the European transport system in 2030 and an action plan with a roadmap to implement that vision. The entire process is organized within a structured participatory approach that engages a broad stakeholder community into the consultation processes. At the heart of this process lies the Multi-Actor Multi-Criteria Analysis (MAMCA) to assess the preferences of fourteen stakeholder groups across the whole transport and mobility spectrum with regards to four mobility scenarios for 2030. The outcome of the MAMCA is a visualisation of the ranking of these scenarios per stakeholder group, demonstrating what synergies we can build upon and what conflicts should be addressed during the last step of the consultation, a consensus building workshop. Here stakeholders come to a common vision for transport in 2030 based on the most supported scenarios. The aim of this paper is to present the methodology and the results of the evaluation of the four scenarios and highlight the synergies and conflicts between the various stakeholders.

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Keywords

scenario building; multi-actor multi-criteria analysis; participatory evaluation

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selected citations
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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).
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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.
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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.
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