Abstract

Urban consolidation centers (UCCs) have a key role in many initiatives in urban logistics, yet few of them are successful in the long run. The high costs have proven a barrier that prevents attracting a sufficient high number of UCC users. In this paper, we study how the user base of a UCC develops under a variety of administrative policies. We perform an agent-based simulation applied to the city of Copenhagen, making use of its real street network and retailer locations. We collect data from a variety of sources to help modeling the agents. Both the data and case setup are validated by means of expert interviews. We test 1,458 schemes that combine several administrative measures and cost settings. The numerical results indicate that most schemes yield significant environmental benefits; many of them are able to reduce the truck kilometers driven by about 65% and emissions by about 70%. The key challenge isto identify schemes that are also financially sustainable. We show that it is essential for the UCC to ensure the commitment of carriers as soon as possible, as the bulk of the revenue can be generated from this target group. Subsequent revenues may be generated by offering value-adding services to receivers. Based on the numerical experiments, we pose various propositions that aid in providing favorable conditions for a UCC, improving its chances of long-term success. Document type: Article

Abstract

International audience; In 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.