1487511
doi
10.5281/zenodo.1487511
oai:zenodo.org:1487511
user-tra2018
Isabelle Nicolaï
Pascal Da Costa
Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework
Rémy Le Boennec
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
multicriteria decision analysis, decision-aid tool, mobility offer, mobility usage.
<p>In this article we seek to elaborate various sustainable mobility scenarios depending on heterogeneous<br>
geographical contexts. We use a multicriteria decision analysis (MCDA) to assess 50 mobility offers, relying on<br>
an original two-step assessment method. In a first step, we use the diviz decision-aid tool to obtain a global score<br>
for every offer, on the basis of 18 criteria that cover the three domains of sustainable development: economics,<br>
environment, society. In a second step, we use the MICMAC decision-aid tool to build relationships of influence<br>
and dependency between the 18 criteria. For each type of territory, we state what could be a development scenario<br>
for the future of mobility. Ultimately, an innovative hybrid mobility solution relies on the strengths and levers of<br>
the offers that were assessed, in response to the mobility scenario. We identify relevant solutions for dense and<br>
low-dense areas: in particular, carpooling offers reach particular efficiency in low-dense areas, combined with<br>
walking practices. Such combinations should be assisted by reliable multimodal mobility applications.</p>
Zenodo
2018-04-16
info:eu-repo/semantics/conferencePaper
1487510
user-tra2018
1610377946.391174
1235065
md5:3b71ad781af2c99403008ecbf96f34a0
https://zenodo.org/records/1487511/files/Contribution_11162_fullpaper.pdf
public
10.5281/zenodo.1487510
isVersionOf
doi