Network Design and Capacity Management in Hyperconnected Urban Logistic Networks
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Abstract
In response to the growing need for eco-friendly urban deliveries, this paper presents a methodology for the network design and capacity management of hyperconnected urban logistic networks. Following a Physical Internet (PI) concept, we first design three-level service regions using a demand-balanced spectral clustering algorithm that partitions city regions into urban areas, local cells, and unit zones. We then introduce a large-scale network design optimization model to generate a three-tier hyperconnected urban logistic network composed of gateway, local, and access hubs to integrate and support freight movements. To evaluate the logistics performance of the proposed network, we develop a dynamic capacity management model for containerized urban deliveries, leveraging modular containers for swift load transfers. This model also incorporates dynamic vehicle sharing and repositioning to support flexible scheduling of electric trucks and delivery vans. In the case study, we use the Metro Atlanta area as a testbed to compare our hyperconnected network with a traditional end-to end network. The experimental results demonstrate that the hyperconnected network enhances resource utilization, reduces operational costs, improves service quality, and achieves greater environmental sustainability, providing new insights for agile and sustainable urban logistics.
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2025-06
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