April 16, 2018 Conference paper Open Access

Rémy Le Boennec; Isabelle Nicolaï; Pascal Da Costa

DCAT Export

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        <foaf:name>Rémy Le Boennec</foaf:name>
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        <foaf:name>Isabelle Nicolaï</foaf:name>
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        <foaf:name>Pascal Da Costa</foaf:name>
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    <dct:title>Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued>
    <dcat:keyword>multicriteria decision analysis, decision-aid tool, mobility offer, mobility usage.</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-04-16</dct:issued>
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    <dct:description>&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;</dct:description>
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