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The dynamics of modal split for freight transport

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  • Ferrari, Paolo

Abstract

The paper presents a dynamic model of modal split in a multimodal freight transport system, which supposes that the evolution over time of transport demand is accompanied by a corresponding evolution of transport modes, and that users react with delay to cost variations. Starting with these hypotheses, and following the paradigm of random utility, a recursive equation is obtained, whose iterated application furnishes the sequence of the demand fractions on the various transport modes in the successive epochs of the time period during which the evolution of the transport system is studied and enables forecasting the future modal split evolution.

Suggested Citation

  • Ferrari, Paolo, 2014. "The dynamics of modal split for freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 163-176.
    • Handle: RePEc:eee:transe:v:70:y:2014:i:c:p:163-176
    DOI: 10.1016/j.tre.2014.07.003
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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. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    3. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    4. Masiero, Lorenzo & Rose, John M., 2013. "The role of the reference alternative in the specification of asymmetric discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 83-92.
    5. Dalla Chiara, Bruno & Deflorio, Francesco Paolo & Spione, Domenico, 2008. "The rolling road between the Italian and French Alps: modeling the modal split," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1162-1174, November.
    6. Taha Rashidi & Abolfazl Mohammadian & Frank Koppelman, 2011. "Modeling interdependencies between vehicle transaction, residential relocation and job change," Transportation, Springer, vol. 38(6), pages 909-932, November.
    7. Ferrari, Paolo, 2002. "Road network toll pricing and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 471-483, June.
    8. Szabolcs Lorincz, 2005. "Persistence Effects in a Dynamic Discrete Choice Model - Application to Low-End Computer Servers," CERS-IE WORKING PAPERS 0510, Institute of Economics, Centre for Economic and Regional Studies.
    9. Cinzia Cirillo & Renting Xu, 2011. "Dynamic Discrete Choice Models for Transportation," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 473-494.
    10. Carranza, Juan Esteban, 2010. "Product innovation and adoption in market equilibrium: The case of digital cameras," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 604-618, November.
    11. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    13. Rashidi, Taha Hossein & Auld, Joshua & Mohammadian, Abolfazl (Kouros), 2012. "A behavioral housing search model: Two-stage hazard-based and multinomial logit approach to choice-set formation and location selection," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1097-1107.
    14. 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.
    15. Ballis, Athanasios & Golias, John, 2002. "Comparative evaluation of existing and innovative rail-road freight transport terminals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 593-611, August.
    16. Jong, Gerard De, 1996. "A disaggregate model system of vehicle holding duration, type choice and use," Transportation Research Part B: Methodological, Elsevier, vol. 30(4), pages 263-276, August.
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    Cited by:

    1. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Sinem Tokcaer & Özgür Özpeynirci, 2018. "A bi-objective multimodal transportation planning problem with an application to a petrochemical ethylene manufacturer," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(1), pages 72-88, March.
    3. Ferrari, Paolo, 2018. "Some necessary conditions for the success of innovations in rail freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 747-758.
    4. Ferrari, Paolo, 2015. "Dynamic cost functions and freight transport modal split evolution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 115-134.
    5. Tavasszy, Lóránt A., 2020. "Predicting the effects of logistics innovations on freight systems: Directions for research," Transport Policy, Elsevier, vol. 86(C), pages 1-6.
    6. Cassiano A. Isler & Yesid Asaff & Marin Marinov, 2020. "Designing a Geo-Strategic Railway Freight Network in Brazil Using GIS," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    7. Ferrari, Paolo, 2016. "Instability and dynamic cost elasticities in freight transport systems," Transport Policy, Elsevier, vol. 49(C), pages 226-233.

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