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Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework

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  • Keya, Nowreen
  • Anowar, Sabreena
  • Eluru, Naveen

Abstract

In our study, we examine the joint choice of freight transportation mode and shipment size. While shipment size could be considered as an explanatory variable in modeling mode choice (or vice-versa), it is more likely that the decision of mode and shipment choice is a simultaneous process. A joint model system is developed in the form of an unordered choice model for mode and an ordered choice model for shipment size. We adopt a closed form copula-based model structure for capturing the impact of common unobserved factors affecting these two choices. Further, we explore alternatives to the traditional random utility structure in modeling mode choice. Specifically, we explore both the random utility (RU) based multinomial logit and the random regret (RR) minimization based multinomial logit (MNL) within a copula-based model. The shipment size is analyzed using ordered logit (OL) model within the copula structure. The RU and RR MNL structures are explored for several copula-based structures including Gaussian, Farlie-Gumbel-Morgenstern (FGM), Clayton, Gumbel, Frank and Joe. The proposed approach considers copula models with multiple copula-based dependencies within a single model. The copula-based model dependency is also allowed to vary across the data by parameterizing the dependency as a function of observed attributes. The models are estimated based on the data from 2012 U.S. Commodity Flow Survey data. The copula RRM based MNL-OL copula with Frank and Joe copula dependencies offered the best data fit indicating the strong interconnectedness between shipment mode and shipment size choice decisions. A validation exercise provides further evidence of the joint model superiority for overall sample level and freight characteristics variables specific sub-samples.

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  • Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.
    • Handle: RePEc:eee:transe:v:125:y:2019:i:c:p:97-115
    DOI: 10.1016/j.tre.2019.03.007
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    1. O. Norojono & W. Young, 2003. "A Stated preference freight mode choice model," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 1-1, April.
    2. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
    3. Jose Holguín-Veras & Ning Xu & Gerard Jong & Hedi Maurer, 2011. "An Experimental Economics Investigation of Shipper-carrier Interactions in the Choice of Mode and Shipment Size in Freight Transport," Networks and Spatial Economics, Springer, vol. 11(3), pages 509-532, September.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    5. 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.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    8. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    9. William P. Anderson & Lata Chatterjee & T.R. Lakshmanan, 2003. "E‐commerce, Transportation, and Economic Geography," Growth and Change, Wiley Blackwell, vol. 34(4), pages 415-432, September.
    10. Arunotayanun, Kriangkrai & Polak, John W., 2011. "Taste heterogeneity and market segmentation in freight shippers' mode choice behaviour," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 138-148, March.
    11. Randolph W. Hall, 1985. "Dependence between Shipment Size and Mode in Freight Transportation," Transportation Science, INFORMS, vol. 19(4), pages 436-444, November.
    12. Alessandro Portoghese & Erika Spissu & Chandra Bhat & Naveen Eluru & Italo Meloni, 2011. "A Copula-Based Joint Model Of Commute Mode Choice And Number Of Non-Work Stops During The Commute," Articles, International Journal of Transport Economics, vol. 38(3).
    13. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    14. Chorus, Caspar G. & Arentze, Theo A. & Timmermans, Harry J.P., 2008. "A Random Regret-Minimization model of travel choice," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 1-18, January.
    15. Abdelwahab, Walid M., 1998. "Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(4), pages 257-266, December.
    16. Swait, Joffre, 2001. "A non-compensatory choice model incorporating attribute cutoffs," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 903-928, November.
    17. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
    18. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    19. Arentze, Theo & Timmermans, Harry, 2007. "Parametric action decision trees: Incorporating continuous attribute variables into rule-based models of discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 772-783, August.
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    Cited by:

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    3. Keya, Nowreen & Anowar, Sabreena & Bhowmik, Tanmoy & Eluru, Naveen, 2021. "A joint framework for modeling freight mode and destination choice: Application to the US commodity flow survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    4. Zofia Gródek-Szostak & Gabriela Malik & Danuta Kajrunajtys & Anna Szeląg-Sikora & Jakub Sikora & Maciej Kuboń & Marcin Niemiec & Joanna Kapusta-Duch, 2019. "Modeling the Dependency between Extreme Prices of Selected Agricultural Products on the Derivatives Market Using the Linkage Function," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
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    6. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
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    9. Raphael Piendl & Martin Koning & François Combes & Gernot Liedtke, 2022. "Building latent segments of goods to improve shipment size modeling: Confirmatory evidence from France," Post-Print hal-04117547, HAL.
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