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Emerging practices and research issues for big data analytics in freight transportation

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Maritime Economics & Logistics Aims and scope

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Abstract

Freight transportation has been experiencing a renaissance in data sources, storage, and dissemination of data to decision makers in the last decades, resulting in new approaches to business and new research streams in analytics to support them. We provide an overview of developments in both practice and research related to big data analytics (BDA) in each of the major areas of freight transportation: air, ocean, rail, and truck. In each case, we first describe new capabilities in practice, and avenues of research given these evolving capabilities. New data sources, volumes and timeliness directly affect the way the industry operates, and how future researchers in these fields will structure their work. We discuss the evolving research agenda due to BDA and formulate fundamental research questions for each mode of freight transport.

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  • 24 February 2023

    In this article the author biographies have been omitted. This has been corrected.

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Acknowledgements

We are grateful to the journal Editor-in-Chief, handling editor, and reviewers for their comments and suggestions that greatly improved the quality of this paper.

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Authors and Affiliations

  1. Department of MIS, Operations and Analytics, University of Dayton School of Business, Dayton, USA

    Michael F. Gorman

  2. The University of Texas at Austin, Austin, TX, USA

    John-Paul Clarke

  3. Rotterdam School of Management, Erasmus University Rotterdam, Rotterdam, Netherlands

    René de Koster

  4. Quinlan School of Business at Loyola University Chicago, Chicago, IL, USA

    Michael Hewitt

  5. Indian Institute of Management Ahmedabad, Ahmedabad, India

    Debjit Roy

  6. Otis Elevator Company, Farmington, USA

    Mei Zhang

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  1. Michael F. Gorman
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  2. John-Paul Clarke
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  3. René de Koster
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  4. Michael Hewitt
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  5. Debjit Roy
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  6. Mei Zhang
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Correspondence to Debjit Roy.

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Gorman, M.F., Clarke, JP., de Koster, R. et al. Emerging practices and research issues for big data analytics in freight transportation. Marit Econ Logist 25, 28–60 (2023). https://doi.org/10.1057/s41278-023-00255-z

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