Combining Benders decomposition and column generation for scheduled service network design problem in rail freight transportation

Lan, Zekang; He, Shiwei; Xu, Yan

doi:10.1080/23249935.2020.1863505

Cited by 6 publications

(1 citation statement)

References 30 publications

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“…e rapid development of the Chinese economy is mirrored by the burgeoning freight transport and logistics. Internet technology is being integrated with data mining, resulting in various transport projects and platforms that synthetize social information with the diverse big data on freight services and serve the enterprises with freight demand [1][2][3][4][5][6][7][8]. Currently, long-distance freight transport is shifting towards multimodal transport, the combination of multiple freight transport modes [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis

Wang

2022

Discrete Dynamics in Nature and Society

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Currently, long-distance freight transport is shifting towards multimodal transport, the combination of multiple freight transport modes. Multimodal transport enables enterprises with the same logistics function to operate on the same level of the supply chain. Through horizontal cooperation, these enterprises can give play to their advantages, make up their deficiencies, improve service levels, reduce cost input, and thereby enhance market status. Therefore, multimodal transport is an intensive development model that promotes the alliance between giants. The reasonable path design and planning (PDP) and investment and construction mode (ICM) of the multimodal transport network help freight demanders, as well as multimodal freight transport platforms, obtain the maximum profit. Therefore, this paper explores the PDP and ICM of the multimodal transport network based on big data analysis. Firstly, the influencing factors and behavioral features of multimodal transport were deeply examined, drawing on the logit model and the big data on multiple freight services, namely, railway transport, highway transport, waterway transport, and airway transport. After classifying the freights, the authors analyzed the modeling and decision-making of path design and optimization (PDO) for multimodal transport network. The proposed model was proved effective through experiments. This paper theoretically explores the goals, principles, and needs of path selection in the modern transportation industry. In a realistic sense, the research findings help decision-makers optimize their decisions on the multimodal transport network and operate the network at the minimum transport cost.

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Section: Introductionmentioning

confidence: 99%

Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis

Wang

2022

Discrete Dynamics in Nature and Society

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Operational planning of international freight trains considering the dynamic demands and capacities of border ports

Shi,

2023

Computers & Industrial Engineering

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Arc- and Path-Based Models and a Heuristic Method for the Building Evacuation Planning Problem

Hooshmand

Zare

MirHassani

2022

J. Infrastruct. Syst.

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Combining Benders decomposition and column generation for scheduled service network design problem in rail freight transportation

Cited by 6 publications

References 30 publications

Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis

Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis

Operational planning of international freight trains considering the dynamic demands and capacities of border ports

Arc- and Path-Based Models and a Heuristic Method for the Building Evacuation Planning Problem

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