https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Gonzalez-Feliu_Salanova_Grau_2012aGonzalez-Feliu Salanova Grau 2012a - Revision history2026-04-18T12:50:54ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Gonzalez-Feliu_Salanova_Grau_2012a&diff=199361&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 689438324 to Gonzalez-Feliu Salanova Grau 2012a2021-02-01T23:19:22Z<p>Scipediacontent moved page <a href="/public/Draft_Content_689438324" class="mw-redirect" title="Draft Content 689438324">Draft Content 689438324</a> to <a href="/public/Gonzalez-Feliu_Salanova_Grau_2012a" title="Gonzalez-Feliu Salanova Grau 2012a">Gonzalez-Feliu Salanova Grau 2012a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Gonzalez-Feliu_Salanova_Grau_2012a&diff=199360&oldid=prevScipediacontent: Created page with " == Abstract == International audience; Collaborative transportation and logistics pooling are relatively new concepts in research, but are very popular in practice. In the l..."2021-02-01T23:19:17Z<p>Created page with " == Abstract == International audience; Collaborative transportation and logistics pooling are relatively new concepts in research, but are very popular in practice. In the l..."</p>
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== Abstract ==<br />
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International audience; Collaborative transportation and logistics pooling are relatively new concepts in research, but are very popular in practice. In the last years, collaborative transportation seems a good city logistics alternative to classical urban consolidation centres, but it is still in a development stage. This paper proposes a framework for urban logistics pooling ex-ante evaluation. This framework is developed with two purposes. The first is to generate comparable contrasted or progressive scenarios representing realistic situations; the second to simulate and assess them to make a "before-after" comparative analysis. In this framework, a demand generation model is combined with a route optimization algorithm to simulate the resulting routes of the proposed individual or collaborative distribution schemes assumed by each scenario. Then, several indicators can be obtained, mainly travelled distances, working times, road occupancy rates and operational monetary costs. To illustrate that framework, several scenarios for the urban area of Lyon (France) are simulated and discussed to illustrate the proposed framework possible applications.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [https://halshs.archives-ouvertes.fr/halshs-00750752/document https://halshs.archives-ouvertes.fr/halshs-00750752/document]<br />
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* [https://halshs.archives-ouvertes.fr/halshs-00750752 https://halshs.archives-ouvertes.fr/halshs-00750752],<br />
: [https://halshs.archives-ouvertes.fr/halshs-00750752/document https://halshs.archives-ouvertes.fr/halshs-00750752/document],<br />
: [https://halshs.archives-ouvertes.fr/halshs-00750752/file/JesA_s_GonzA_lez-Feliu.pdf https://halshs.archives-ouvertes.fr/halshs-00750752/file/JesA_s_GonzA_lez-Feliu.pdf]</div>Scipediacontent