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Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows

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  • Ham, Heejoo
  • Kim, Tschangho John
  • Boyce, David

Abstract

A combined model of interregional, multimodal commodity shipments, incorporating regional input-output relationships, and the associated transportation network flows is formulated as an alternative to the traditional four-step travel forecasting procedure of trip generation, distribution, mode choice, and assignment. The paper describes the formulation of the model, its solution using US interregional commodity shipment data, estimation of key parameters, and evaluation of the performance of the model with the observed data. The model was implemented to predict interregional commodity shipments by roads and railways among regions of the US when these networks were disrupted by earthquakes or other natural events.

Suggested Citation

  • Ham, Heejoo & Kim, Tschangho John & Boyce, David, 2005. "Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows," Transportation Research Part B: Methodological, Elsevier, vol. 39(1), pages 65-79, January.
    • Handle: RePEc:eee:transb:v:39:y:2005:i:1:p:65-79
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    References listed on IDEAS

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    1. Tschangho John Kim & Heejoo Ham & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Review of Economic Design, Springer;Society for Economic Design, vol. 81(2), pages 223-246, April.
    2. Tschangho John Kim & Heejoo Ham & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Economics of Governance, Springer, vol. 81(2), pages 223-246, April.
    3. David Boyce & Hillel Bar–Gera, 2003. "Validation of Multiclass Urban Travel Forecasting Models Combining Origin–Destination, Mode, and Route Choices," Journal of Regional Science, Wiley Blackwell, vol. 43(3), pages 517-540, August.
    4. Heejoo Ham & Tschangho John Kim & David E. Boyce, 2002. "Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(2), pages 223-246.
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    1. Seungjin Shin & Hong-Seung Roh & Sung Ho Hur, 2019. "Characteristics Analysis of Freight Mode Choice Model According to the Introduction of a New Freight Transport System," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    2. 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.
    3. Ham, Heejoo & Kim, Tschangho John & Boyce, David, 2005. "Assessment of economic impacts from unexpected events with an interregional commodity flow and multimodal transportation network model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(10), pages 849-860, December.
    4. Park, JiYoung & Cho, JoongKoo & Gordon, Peter & Moore, James E. & Richardson, Harry W. & Yoon, SungSu, 2011. "Adding a freight network to a national interstate input–output model: a TransNIEMO application for California," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1410-1422.
    5. Darayi, Mohamad & Barker, Kash & Nicholson, Charles D., 2019. "A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network," International Journal of Production Economics, Elsevier, vol. 208(C), pages 356-368.
    6. Felipe González & Carlos Melo-Riquelme & Louis Grange, 2016. "A combined destination and route choice model for a bicycle sharing system," Transportation, Springer, vol. 43(3), pages 407-423, May.
    7. Danczyk, Adam & Di, Xuan & Liu, Henry X. & Levinson, David M., 2017. "Unexpected versus expected network disruption: Effects on travel behavior," Transport Policy, Elsevier, vol. 57(C), pages 68-78.
    8. 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.
    9. Ioannou, Petros & Giuliano, Genevieve & Dessouky, Maged & Chen, Pengfei & Dexter, Sue, 2020. "Freight Load Balancing and Efficiencies in Alternative Fuel Freight Modes," Institute of Transportation Studies, Working Paper Series qt3ns4b894, Institute of Transportation Studies, UC Davis.
    10. Qu, Chenrui & Wang, Grace W.Y. & Zeng, Qingcheng, 2017. "Modelling port subsidy policies considering pricing decisions of feeder carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 115-133.
    11. Kengpol, Athakorn & Meethom, Warapoj & Tuominen, Markku, 2012. "The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries," International Journal of Production Economics, Elsevier, vol. 140(2), pages 691-701.
    12. Mohamad Darayi & Kash Barker & Joost R. Santos, 2017. "Component Importance Measures for Multi-Industry Vulnerability of a Freight Transportation Network," Networks and Spatial Economics, Springer, vol. 17(4), pages 1111-1136, December.
    13. Joseph Chow & Choon Yang & Amelia Regan, 2010. "State-of-the art of freight forecast modeling: lessons learned and the road ahead," Transportation, Springer, vol. 37(6), pages 1011-1030, November.
    14. Yang, Yi, 2018. "Improving estimates of subnational commodity flows in LCA for policy support: A US case study," Energy Policy, Elsevier, vol. 118(C), pages 312-316.
    15. Ioannou, Petros & Chen, Pengfei, 2023. "Centrally Coordinated Schedules and Routes of Airport Shuttles with LAX Terminals as Application Area," Institute of Transportation Studies, Working Paper Series qt6gg7r6c5, Institute of Transportation Studies, UC Davis.
    16. Jonkeren, Olaf & Jourquin, Bart & Rietveld, Piet, 2011. "Modal-split effects of climate change: The effect of low water levels on the competitive position of inland waterway transport in the river Rhine area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1007-1019.
    17. Louis Grange & Felipe González & Juan Muñoz & Sebastián Raveau, 2014. "An Improved Stirling Approximation for Trip Distribution Models," Networks and Spatial Economics, Springer, vol. 14(3), pages 531-548, December.

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