Hub-and-spoke network and line plan optimisation with formation-based discount for rail-road freight

Seaport-affiliated operators face challenges in routing containerised freight through China's rail-based overland network. This study integrates formation-based incremental unit (IU) discounts into joint service network design and rail-sea intermodal train (RSIT) line planning. Heterogeneous shipments are assigned to existing railway container transport (ERCT) services, new RSITs, and direct trucking. The problem is formulated as a mixed-integer linear programme and solved using an adaptive genetic algorithm with problem-specific decoding rules. Results show that IU discounts promote a concentrated hub-and-spoke network, improving ERCT utilisation and RSIT formation size. Network configurations remain stable across a range of discount levels, revealing a discontinuous response to discount magnitude. Most adjustments occur at the initial discount levels, while subsequent increments yield progressively smaller changes. These findings demonstrate the practical value of formation-based discounts for railway enterprises and provide a reference for operators in service network design under such discount schemes.

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Publication Details

Journal
Transportmetrica A Transport Science
Published
2026-11-01
DOI
https://doi.org/10.1080/23249935.2026.2757110
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

Hub-and-spoke network and line plan optimisation with formation-based discount for rail-road freight

Jian Xiong, Yu Ke, Chenyang Yi
Transportmetrica A Transport Science
Maritime Ports and Logistics
article

Hub-and-spoke network and line plan optimisation with formation-based discount for rail-road freight

Jian Xiong, Yu Ke, Chenyang Yi
article en

Abstract

Seaport-affiliated operators face challenges in routing containerised freight through China's rail-based overland network. This study integrates formation-based incremental unit (IU) discounts into joint service network design and rail-sea intermodal train (RSIT) line planning. Heterogeneous shipments are assigned to existing railway container transport (ERCT) services, new RSITs, and direct trucking. The problem is formulated as a mixed-integer linear programme and solved using an adaptive genetic algorithm with problem-specific decoding rules. Results show that IU discounts promote a concentrated hub-and-spoke network, improving ERCT utilisation and RSIT formation size. Network configurations remain stable across a range of discount levels, revealing a discontinuous response to discount magnitude. Most adjustments occur at the initial discount levels, while subsequent increments yield progressively smaller changes. These findings demonstrate the practical value of formation-based discounts for railway enterprises and provide a reference for operators in service network design under such discount schemes.

Transportmetrica A Transport Science
East China Jiaotong University (CN)
Openalex Percentile: Top 12%
Maritime Ports and Logistics
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