Abstract
The current models for hub location problems are unable to find potential hub locations in uncharted areas that currently have no port. To explore hub locations that are not selected from the present ports, this study proposes a two-stage method to address this gap in knowledge. A concave cost multicommodity network flow model is solved in the first stage to obtain container traffic in waterways. Then, in the second stage, a hubbing probability is evaluated for each node to indicate potential hub locations. A case study including emerging Arctic routes is provided to demonstrate this method.
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