April 16, 2018 Conference paper Open Access

Rémy Le Boennec; Isabelle Nicolaï; Pascal Da Costa

DataCite XML Export

<?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">&lt;p&gt;In this article we seek to elaborate various sustainable mobility scenarios depending on heterogeneous&lt;br&gt;
geographical contexts. We use a multicriteria decision analysis (MCDA) to assess 50 mobility offers, relying on&lt;br&gt;
an original two-step assessment method. In a first step, we use the diviz decision-aid tool to obtain a global score&lt;br&gt;
for every offer, on the basis of 18 criteria that cover the three domains of sustainable development: economics,&lt;br&gt;
environment, society. In a second step, we use the MICMAC decision-aid tool to build relationships of influence&lt;br&gt;
and dependency between the 18 criteria. For each type of territory, we state what could be a development scenario&lt;br&gt;
for the future of mobility. Ultimately, an innovative hybrid mobility solution relies on the strengths and levers of&lt;br&gt;
the offers that were assessed, in response to the mobility scenario. We identify relevant solutions for dense and&lt;br&gt;
low-dense areas: in particular, carpooling offers reach particular efficiency in low-dense areas, combined with&lt;br&gt;
walking practices. Such combinations should be assisted by reliable multimodal mobility applications.&lt;/p&gt;</description>
  </descriptions>
</resource>