<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guyon, Olivier</style></author><author><style face="normal" font="default" size="100%">Absi, Nabil</style></author><author><style face="normal" font="default" size="100%">Feillet, Dominique</style></author><author><style face="normal" font="default" size="100%">Garaix, Thierry</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A modeling approach for locating logistics platforms for fast parcels delivery in urban areas</style></title><secondary-title><style face="normal" font="default" size="100%">7th International Conference on City Logistics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">city logistics</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://hal-emse.ccsd.cnrs.fr/emse-00603348</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This study aims at defining a framework for optimizing, in a sustainable way (i.e. economical, eco-friendly and societal), the location of logistics platforms in urban areas. A first case study for our work is the city of Marseilles (France) which already has a logistics platform right in its centre (ARENC: 41362 m2 of warehouses and offices). In this abstract, we first provide a precise description of the problem we intend to solve. We then propose a mathematical model for representing it. Preliminary experimentations, based on the city of Marseilles, are then described; figures and preliminary results which are proposed for this first case study are obtained thanks to a decision-making software we have implemented. Conclusions and future works are finally drawn.</style></abstract></record></records></xml>