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A micro-simulation model of shipment size and transport chain choice


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  • de Jong, Gerard
  • Ben-Akiva, Moshe
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    Practically every international, national or regional freight transport model system in the world lacks explicit treatment of logistics choices (such as shipment size considerations or the use of distribution centres). This paper deals with the development of a new logistics model and its application within the national freight model systems of Norway and Sweden. This logistics model operates at the level of individual firm-to-firm (sender-to-receiver) relations and simulates the choice of shipment size and transport chain for all (several millions) these relations within the country, export and import. A logistics model with deterministic cost minimisation has been constructed for both Norway and Sweden. The full random utility logistics model has not yet been estimated on disaggregate data, but this is planned for both countries. For Sweden, more limited disaggregate models for the choice of mode and shipment size have been estimated.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 41 (2007)
    Issue (Month): 9 (November)
    Pages: 950-965

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    Handle: RePEc:eee:transb:v:41:y:2007:i:9:p:950-965

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    1. Shirley, Chad & Winston, Clifford, 2004. "Firm inventory behavior and the returns from highway infrastructure investments," Journal of Urban Economics, Elsevier, vol. 55(2), pages 398-415, March.
    2. W. J. Baumol & H. D. Vinod, 1970. "An Inventory Theoretic Model of Freight Transport Demand," Management Science, INFORMS, vol. 16(7), pages 413-421, March.
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    Cited by:
    1. Abate, Megersa & Vierth, Inge & de Jong , Gerard, 2014. "Joint econometric models of freight transport chain and shipment size choice," Working papers in Transport Economics 2014:9, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Valerio Gatta & Edoardo Marcucci, 2013. "Ex-Post Implications Of Ex-Ante Data Acquisition Strategies In Multiagent-Type Urban Freight Policy Evaluation," Working Papers 0613, CREI Università degli Studi Roma Tre, revised 2013.
    3. Bell, Michael G.H. & Liu, Xin & Angeloudis, Panagiotis & Fonzone, Achille & Hosseinloo, Solmaz Haji, 2011. "A frequency-based maritime container assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1152-1161, September.
    4. Edoardo Marcucci, Amanda Stathopoulos, Romeo Danielis, 2012. "Urban freight policies and tourism. The case of own-account operators in Rome’s limited traffic zone," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - Italian Review of Economics, Demography and Statistics, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 0(2), pages 121-139.
    5. Francesco Russo & Antonio Comi, 2010. "A modelling system to simulate goods movements at an urban scale," Transportation, Springer, vol. 37(6), pages 987-1009, November.
    6. Feo, María & Espino, Raquel & García, Leandro, 2011. "An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea," Transport Policy, Elsevier, vol. 18(1), pages 60-67, January.
    7. Bell, Michael G.H. & Liu, Xin & Rioult, Jeremy & Angeloudis, Panagiotis, 2013. "A cost-based maritime container assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 58-70.
    8. Meisel, Frank & Kirschstein, Thomas & Bierwirth, Christian, 2013. "Integrated production and intermodal transportation planning in large scale production–distribution-networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 62-78.
    9. Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
    10. Guerrero, Sebastian E. & Madanat, Samer M. & Leachman, Robert C., 2013. "The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 85-107.
    11. Emeric Lendjel, 2013. "Pre- and end-haulage of containers in shipping chains: the neglected role of transaction costs in shippers' modal choices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00978091, HAL.
    12. Sharman, Bryce W. & Roorda, Matthew J., 2013. "Multilevel modelling of commercial vehicle inter-arrival duration using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 94-107.


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