Conference paper Open Access
Rémy Le Boennec; Isabelle Nicolaï; Pascal Da Costa
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Rémy Le Boennec</dc:creator> <dc:creator>Isabelle Nicolaï</dc:creator> <dc:creator>Pascal Da Costa</dc:creator> <dc:date>2018-04-16</dc:date> <dc:description>In this article we seek to elaborate various sustainable mobility scenarios depending on heterogeneous geographical contexts. We use a multicriteria decision analysis (MCDA) to assess 50 mobility offers, relying on an original two-step assessment method. In a first step, we use the diviz decision-aid tool to obtain a global score for every offer, on the basis of 18 criteria that cover the three domains of sustainable development: economics, environment, society. In a second step, we use the MICMAC decision-aid tool to build relationships of influence and dependency between the 18 criteria. For each type of territory, we state what could be a development scenario for the future of mobility. Ultimately, an innovative hybrid mobility solution relies on the strengths and levers of the offers that were assessed, in response to the mobility scenario. We identify relevant solutions for dense and low-dense areas: in particular, carpooling offers reach particular efficiency in low-dense areas, combined with walking practices. Such combinations should be assisted by reliable multimodal mobility applications.</dc:description> <dc:identifier>https://zenodo.org/record/1487511</dc:identifier> <dc:identifier>10.5281/zenodo.1487511</dc:identifier> <dc:identifier>oai:zenodo.org:1487511</dc:identifier> <dc:relation>doi:10.5281/zenodo.1487510</dc:relation> <dc:relation>url:https://zenodo.org/communities/tra2018</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</dc:rights> <dc:subject>multicriteria decision analysis, decision-aid tool, mobility offer, mobility usage.</dc:subject> <dc:title>Implementing a two-step decision-aid tool for the assessment of new mobility offers in a spatial framework</dc:title> <dc:type>info:eu-repo/semantics/conferencePaper</dc:type> <dc:type>publication-conferencepaper</dc:type> </oai_dc:dc>
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