Conference paper Open Access
Rémy Le Boennec; Isabelle Nicolaï; Pascal Da Costa
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.1487511</identifier> <creators> <creator> <creatorName>Rémy Le Boennec</creatorName> </creator> <creator> <creatorName>Isabelle Nicolaï</creatorName> </creator> <creator> <creatorName>Pascal Da Costa</creatorName> </creator> </creators> <titles> <title>Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <subjects> <subject>multicriteria decision analysis, decision-aid tool, mobility offer, mobility usage.</subject> </subjects> <dates> <date dateType="Issued">2018-04-16</date> </dates> <resourceType resourceTypeGeneral="ConferencePaper"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1487511</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1487510</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/tra2018</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode">Creative Commons Attribution Non Commercial No Derivatives 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><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></description> </descriptions> </resource>
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