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Shipment size and vehicle choice modeling for road freight transport: A geographical perspective

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  • Günay, Gürkan

Abstract

Shipment size and freight transport mode choice have been modeled previously in many studies. There are several studies on the road transport level of this subject as well. This study investigates shipment size and road freight vehicle choice from a geographical point of view. An industrial region in a province may be neighboring another province, a large metropolitan area. Then, freight vehicle choice patterns in that industrial region may differ from the rest of the province it is part of. In this research, data were obtained from Kocaeli province in Türkiye. Modeling techniques include Analysis of Covariance (ANCOVA) for shipment size choice and Discrete Choice approaches for vehicle choice. This study investigates the effects of neighboring using dummy variable and market segmentation approaches. Both approaches show that one region of Kocaeli, neighboring Istanbul, has different vehicle choice mechanisms from the rest of Kocaeli. Therefore, in shipment size and freight vehicle choice modeling or freight transportation master plans for a region, neighboring effects of other large metropolitan areas should be considered. If necessary, separate models may be required for such regions. Effects of several variables on shipment size and vehicle choice patterns are also given.

Suggested Citation

  • Günay, Gürkan, 2023. "Shipment size and vehicle choice modeling for road freight transport: A geographical perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:transa:v:173:y:2023:i:c:s0965856423001520
    DOI: 10.1016/j.tra.2023.103732
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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. Greene, William H. & Hensher, David A., 2007. "Heteroscedastic control for random coefficients and error components in mixed logit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(5), pages 610-623, September.
    3. Bergantino, Angela S. & Bierlaire, Michel & Catalano, Mario & Migliore, Marco & Amoroso, Salvatore, 2013. "Taste heterogeneity and latent preferences in the choice behaviour of freight transport operators," Transport Policy, Elsevier, vol. 30(C), pages 77-91.
    4. Larranaga, Ana Margarita & Arellana, Julian & Senna, Luiz Afonso, 2017. "Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 202-211.
    5. 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.
    6. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    7. Leandro García-Menéndez & Inmaculada Martínez-Zarzoso & Delia Pinero De Miguel, 2004. "Determinants of Mode Choice between Road and Shipping for Freight Transport: Evidence for Four Spanish Exporting Sectors," Journal of Transport Economics and Policy, University of Bath, vol. 38(3), pages 447-466, September.
    8. Cullinane, Kevin & Toy, Neal, 2000. "Identifying influential attributes in freight route/mode choice decisions: a content analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 41-53, March.
    9. Thibault Delbart & Yves Molenbruch & Kris Braekers & An Caris, 2021. "Uncertainty in Intermodal and Synchromodal Transport: Review and Future Research Directions," Sustainability, MDPI, vol. 13(7), pages 1-25, April.
    10. 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.
    11. Danielis, Romeo & Marcucci, Edoardo, 2007. "Attribute cut-offs in freight service selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(5), pages 506-515, September.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    13. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    14. Edoardo Marcucci & Valerio Gatta, 2013. "The Intra-Agent Heterogeneity In Urban Freight Distribution: The Case Of Own-Account Operators," Articles, International Journal of Transport Economics, vol. 40(2).
    15. 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.
    16. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    17. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    18. 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.
    19. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    20. Leise Kelli de Oliveira & Bruno Vieira Bertoncini & Carla de Oliveira Leite Nascimento & Lara Braide Rocha & Larissa Almeida Matias de Lima Batista & Leonardo Ventorim Cellin, 2019. "Factors Affecting the Choice of Urban Freight Vehicles: Issues Related to Brazilian Companies," Sustainability, MDPI, vol. 11(24), pages 1-11, December.
    21. Frank Witlox & Els Vandaele, 2005. "Determining the Monetary Value of Quality Attributes in Freight Transportation Using a Stated Preference Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(2), pages 77-92, April.
    22. Piendl, Raphael & Liedtke, Gernot & Matteis, Tilman, 2017. "A logit model for shipment size choice with latent classes – Empirical findings for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 188-201.
    23. Menou, Abdellah & Benallou, Abdelhanine & Lahdelma, Risto & Salminen, Pekka, 2010. "Decision support for centralizing cargo at a Moroccan airport hub using stochastic multicriteria acceptability analysis," European Journal of Operational Research, Elsevier, vol. 204(3), pages 621-629, August.
    24. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    25. Yang, Chih-Wen & Liao, Pei-Han, 2016. "Modeling the joint choice of access modes and flight routes with parallel structure and random heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 19-31.
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