Community structure based global hub location problem in liner shipping

Priority analysis of port investment along the 21st-Century Maritime Silk Road region: the case of Southeast Asia

“…Namely, we aim to determine the priority order of port construction investment for the potential ports located in the Southeast Asian region. Note that, our studied problem is completely different from the hub location problem (Alumur and Kara, 2008;Campbell and O'Kelly, 2012;Zheng, et al, 2018Zheng, et al, , 2019, which mainly aims to find the optimal hub locations by minimizing the total cost for transporting cargoes from their origin nodes to their destination nodes.…”

A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory

“…Another concern is that the optimal solution may only hold true to the specific network topologies used for its model development. As a result, these simplifying assumptions seem to constrain the discovery of the truly optimal location and the practical application of the findings (Zheng et al, 2018).…”

“…Community structure (so-called clusters or modules) is a common phenomenon in many real-world networks, referring to partition of a network into groups (or communities) of nodes which are densely connected within the groups and sparser connected with nodes in other groups (Costa, 2015). Several studies have been published using community structure theory in the transportation and logistics research area such as cargo ship movement analysis (Kaluza et al, 2010), global logistic network design (Sun et al, 2012) and global hub location optimization (Zheng et al, 2018). In general, it is feasible to use community structure theory to detect port relationships at a large-scale network level.…”

The capacitated directed cycle hub location and routing problem under congestion

“…To imitate the actual planning process of a liner service design, they model potential routes and hub locations on Arctic waterways. Finally, Zheng et al (2018) study hub ports in a global shipping network. They propose a two-stage optimization method which first partitions the ports into communities, and then finds optimal hub locations and node allocations in each community.…”