Pragmatic Hyperconnected Freight Systems Design: A Data-Driven Case Study in the US Southeast Megaregion
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Abstract
Throughout the last decade, Physical Internet research on Hyperconnected Freight System Design has demonstrated significant improvements over traditional end-to-end logistics systems. Building on this, our research develops a practical framework formulti-tier space pixelization, logistic region and area design, multi-tier hyperconnected inter-region and inter-area logistic network design, and selection. We select global, regional, and gateway hub cluster locations, using a case study of the Southeast United States. By integrating freight flow data from the Freight Analysis Framework (FAF) with logistics infrastructure data, including roads,rail, and physical facility locations,we establish a data-driven approach to identify hub locations and clusters aligned with freight demand and existing networks. This framework provides a base line blueprin tnetwork design to support stakeholder engagement, enabling discussions on how a hyperconnected model could integrate with and enhance current logistics operations.
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2025-06
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