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International audienceThis paper presents a framework for the analysis of logistics pooling among transport carriers based on residual capacity management, in the context of urban delivery logistics. First, an overview is presented of the different forms of logistics collaboration, cooperation, pooling and sharing to set up the context of this study : logistics sharing among urban delivery carriers. After that, a framework is proposed for analysing the impacts of logistics pooling and the main assumptions, and the analytical method for estimating the impacts of logistics pooling. Then, the assessment of five scenarios of logistics pooling is presented to illustrate the proposed framework. Finally, the results are presented and the suitability and development issues of urban logistics pooling are discussed.Cet article propose un cadre d’analyse de la mutualisation entre transporteurs basée sur la gestion des capacités résiduelles, dans un contexte de livraisons urbaines. Dans un premier temps, l’article dresse un panorama de la recherche sur la mutualisation logistique pour ensuite recadrer le contexte de cette étude : la mutualisation horizontale des livraisons urbaines. Ensuite un cadre d’analyse des impacts de la mutualisation est proposé, comprenant les choix et hypothèses, ainsi que la méthode analytique d’estimation des impacts de la mutualisation utilisée. Puis, à titre d’exemple, cinq scénarios de mutualisation sont présentés sur lesquels la méthode est appliquée. Enfin, les résultats de cette simulation sont présentés et ses principaux résultats sont discutés

International audienceIn this paper, we elaborate a methodology to study a particular case of collaborative network: city logistics. We identify that many solutions for urban logistics are, most of time, badly evaluated. Indeed, the theory often predicts a positive effect but the reality is most of time counterbalanced. We tried to fill this gap by making use of innovative methods. To do so, we mobilize several domains of knowledge: operational research, game theory and transportation studies on real cases. We suggest a solution to anticipate the level of activity of an Urban Consolidation Center and determine the condition under which it generates benefit for a carrier using or not, the collaborative network. We present the result obtained by application of our method on the real case of the city of Saint-Etienne