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A Sequential Shipper-Carrier Network Model for Predicting Freight Flows

Author

Listed:
  • Terry L. Friesz

    (University of Pennsylvania, Philadelphia, Pennsylvania)

  • Joel A. Gottfried

    (Booz-Allen & Hamilton, Philadelphia, Pennsylvania)

  • Edward K. Morlok

    (University of Pennsylvania, Philadelphia, Pennsylvania)

Abstract

A sequential shipper-carrier predictive freight network model is presented. This model is applied to three detailed network data bases. The predicted arc loadings are compared to published railway arc density codes and goodness-of-fit measures are reported for the origin-destination flows of 15 commodities. A discussion of some sources of error in the model and recommendations for further research to lessen that error are given.

Suggested Citation

  • Terry L. Friesz & Joel A. Gottfried & Edward K. Morlok, 1986. "A Sequential Shipper-Carrier Network Model for Predicting Freight Flows," Transportation Science, INFORMS, vol. 20(2), pages 80-91, May.
    • Handle: RePEc:inm:ortrsc:v:20:y:1986:i:2:p:80-91
    DOI: 10.1287/trsc.20.2.80
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    Cited by:

    1. Chow, Joseph Y.J. & Ritchie, Stephen G. & Jeong, Kyungsoo, 2014. "Nonlinear inverse optimization for parameter estimation of commodity-vehicle-decoupled freight assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 71-91.
    2. Shibasaki, Ryuichi & Ieda, Hitoshi & Watanabe, Tomihiro, 2005. "An International Container Shipping Model in East Asia and its Transferability," Research in Transportation Economics, Elsevier, vol. 13(1), pages 299-336, January.
    3. He, Zhidong & Navneet, Kumar & van Dam, Wirdmer & Van Mieghem, Piet, 2021. "Robustness assessment of multimodal freight transport networks," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    4. Casavant, Ken & Jessup, Eric, 2005. "What Makes them Viable? Determining the Attributes that Offer Potential Viability to Inter-Modal Truck-Rail Facilities in Washington State," 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208221, Transportation Research Forum.
    5. Majbah Uddin & Nathan Huynh, 2019. "Reliable Routing of Road-Rail Intermodal Freight under Uncertainty," Networks and Spatial Economics, Springer, vol. 19(3), pages 929-952, September.
    6. Boile, Maria & Theofanis, Sotirios & Spasovic, Lazar, 2006. "The Role Of Various Players In The Port Industry – Theory And Practice," 47th Annual Transportation Research Forum, New York, New York, March 23-25, 2006 208028, Transportation Research Forum.
    7. Luce Brotcorne & Martine Labbé & Patrice Marcotte & Gilles Savard, 2000. "A Bilevel Model and Solution Algorithm for a Freight Tariff-Setting Problem," Transportation Science, INFORMS, vol. 34(3), pages 289-302, August.
    8. Varun Raturi & Ashish Verma, 2019. "Competition between High Speed Rail and Conventional Transport Modes: Market Entry Game Analysis on Indian Corridors," Networks and Spatial Economics, Springer, vol. 19(3), pages 763-790, September.
    9. José Holguín-Veras & Ning Xu & Miguel Jaller & John Mitchell, 2016. "A Dynamic Spatial Price Equilibrium Model of Integrated Urban Production-Transportation Operations Considering Freight Delivery Tours," Transportation Science, INFORMS, vol. 50(2), pages 489-519, May.
    10. Steven A. Gabriel & Supat Kiet & Jifang Zhuang, 2005. "A Mixed Complementarity-Based Equilibrium Model of Natural Gas Markets," Operations Research, INFORMS, vol. 53(5), pages 799-818, October.
    11. Engebrethsen, Erna & Dauzère-Pérès, Stéphane, 2019. "Transportation mode selection in inventory models: A literature review," European Journal of Operational Research, Elsevier, vol. 279(1), pages 1-25.
    12. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    13. Fernández L., J. Enrique & de Cea Ch., Joaquín & O., Alexandra Soto, 2003. "A multi-modal supply-demand equilibrium model for predicting intercity freight flows," Transportation Research Part B: Methodological, Elsevier, vol. 37(7), pages 615-640, August.
    14. Francesco Corman & Francesco Viti & Rudy R. Negenborn, 2017. "Equilibrium models in multimodal container transport systems," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 125-153, March.
    15. Avinash Unnikrishnan & Varunraj Valsaraj & Steven Waller, 2009. "Stochastic and Dynamic Shipper Carrier Network Design Problem," Networks and Spatial Economics, Springer, vol. 9(4), pages 525-550, December.
    16. Wang, Hua & Wang, Xinchang & Zhang, Xiaoning, 2017. "Dynamic resource allocation for intermodal freight transportation with network effects: Approximations and algorithms," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 83-112.
    17. Friesz, Terry L. & Mookherjee, Reetabrata & Holguín-Veras, José & Rigdon, Matthew A., 2008. "Dynamic pricing in an urban freight environment," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 305-324, May.
    18. Hao Wang & Linda Nozick & Ningxiong Xu & Jared Gearhart, 2018. "Modeling ocean, rail, and truck transportation flows to support policy analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 327-357, September.
    19. Li, Xinyan & Xie, Chi & Bao, Zhaoyao, 2022. "A multimodal multicommodity network equilibrium model with service capacity and bottleneck congestion for China-Europe containerized freight flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

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