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