IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-11891-8_15.html
   My bibliography  Save this book chapter

Modelling Global Container Freight Transport Demand

In: Handbook of Ocean Container Transport Logistics

Author

Listed:
  • Lóránt A. Tavasszy

    (TNO and Delft University of Technology)

  • Olga Ivanova

    (TNO and Delft University of Technology)

  • Ronald Aprilyanto Halim

    (TNO and Delft University of Technology)

Abstract

The objective of this chapter is to discuss methods and techniques for a quantitative and descriptive analysis of future container transport demand at a global level. Information on future container transport flows is useful for various purposes. It is instrumental for the assessment of returns of investments in network infrastructure and fleets, the prediction of environmental impacts of transport and the analysis of success of governmental policies about maritime markets and hinterland transport systems. As the future development of global freight flows is unknown and quite uncertain, models are used to define plausible and consistent scenarios of the future performance of the sector. Models of global container transport demand can follow the generic architecture available for freight transport modelling. We describe the methods and techniques available by reviewing the literature with a specific focus on global level freight modelling and treat the subject in two main parts. One part involves modelling the demand for movement between regions, i.e. the outcome of the processes of production, consumption and trade. The second part involves the modelling of demand for transport services by mode and route of transport, including the demand for maritime and inland port services. In both parts we find that surprisingly little research has been conducted specifically for descriptive models of global container movements. Future work can focus on the linkages between container transport and supply chain management. This may include a better understanding of the contribution of shippers’ preferences to observed shipping choices. Also, future developments in geographic restructuring of supply chains because of changes in manufacturing locations or distribution structures, could be looked into. Finally, as global, integrative models do not yet exist, combining new trade and transport network models in a consistent way should provide new tools for long term forecasting and policy analysis.

Suggested Citation

  • Lóránt A. Tavasszy & Olga Ivanova & Ronald Aprilyanto Halim, 2015. "Modelling Global Container Freight Transport Demand," International Series in Operations Research & Management Science, in: Chung-Yee Lee & Qiang Meng (ed.), Handbook of Ocean Container Transport Logistics, edition 127, chapter 15, pages 451-475, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-11891-8_15
    DOI: 10.1007/978-3-319-11891-8_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yadong Wang & Qiang Meng, 2019. "Integrated method for forecasting container slot booking in intercontinental liner shipping service," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 653-674, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-3-319-11891-8_15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.