IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v118y2018icp747-758.html
   My bibliography  Save this article

Some necessary conditions for the success of innovations in rail freight transport

Author

Listed:
  • Ferrari, Paolo

Abstract

This paper presents a model of competition between road and rail for freight transport, which supposes that the cost of road transport is increasing function of flow, while that of railway is decreasing function, because of the innovations implemented to reverse the rail decline. The model studies the evolution over time of the proportions of freight flow carried by the two transport modes, and identifies the conditions in which the rail transport innovations are successful. The model has been applied to the study of the evolution of the competition between road and rail for freight transport through the Swiss Alps.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:118:y:2018:i:c:p:747-758
    DOI: 10.1016/j.tra.2018.10.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856418307286
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2018.10.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Lam, Terence C. & Small, Kenneth A., 0. "The value of time and reliability: measurement from a value pricing experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 231-251, April.
    4. Janic, Milan, 2008. "An assessment of the performance of the European long intermodal freight trains (LIFTS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1326-1339, December.
    5. 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.
    6. 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.
    7. 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.
    8. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    9. 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.
    10. Abacoumkin, Constantinos & Ballis, Athanasios, 2004. "Development of an expert system for the evaluation of conventional and innovative technologies in the intermodal transport area," European Journal of Operational Research, Elsevier, vol. 152(2), pages 410-419, January.
    11. Woxenius, Johan, 2007. "Alternative transport network designs and their implications for intermodal transhipment technologies," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 35, pages 27-45.
    12. Yvonne Bontekoning & Hugo Priemus, 2004. "Breakthrough innovations in intermodal freight transport," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(5), pages 335-345, October.
    13. Ferrari, Paolo, 1995. "Road pricing and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 29(5), pages 357-372, October.
    14. Gerard Jong & Inge Vierth & Lori Tavasszy & Moshe Ben-Akiva, 2013. "Recent developments in national and international freight transport models within Europe," Transportation, Springer, vol. 40(2), pages 347-371, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ralf Elbert & Lowis Seikowsky, 2017. "The influences of behavioral biases, barriers and facilitators on the willingness of forwarders’ decision makers to modal shift from unimodal road freight transport to intermodal road–rail freight tra," Journal of Business Economics, Springer, vol. 87(8), pages 1083-1123, November.
    2. 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.
    3. Tapia, Rodrigo Javier & dos Santos Senna, Luiz Afonso & Larranaga, Ana Margarita & Cybis, Helena Beatriz Bettella, 2019. "Joint mode and port choice for soy production in Buenos Aires province, Argentina," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 100-118.
    4. Bachmann, Christian, 2016. "Analyzing the Infrastructure Impacts of Free Trade Agreements," Conference papers 332725, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Ferrari, Paolo, 2016. "Instability and dynamic cost elasticities in freight transport systems," Transport Policy, Elsevier, vol. 49(C), pages 226-233.
    6. Megersa Abate & Inge Vierth & Rune Karlsson & Gerard Jong & Jaap Baak, 2019. "A disaggregate stochastic freight transport model for Sweden," Transportation, Springer, vol. 46(3), pages 671-696, June.
    7. Nils Boysen & Malte Fliedner & Florian Jaehn & Erwin Pesch, 2013. "A Survey on Container Processing in Railway Yards," Transportation Science, INFORMS, vol. 47(3), pages 312-329, August.
    8. Kumar, Aalok & Anbanandam, Ramesh, 2020. "Evaluating the interrelationships among inhibitors to intermodal railroad freight transport in emerging economies: A multi-stakeholder perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 559-581.
    9. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Vidal-Holguín, Carlos Julio, 2022. "A rail-road transshipment yard picture," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    10. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.
    11. Ottemöller, Ole & Friedrich, Hanno, 2019. "Modelling change in supply-chain-structures and its effect on freight transport demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 23-42.
    12. 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.
    13. Steimetz, Seiji S.C. & Brownstone, David, 2005. "Estimating commuters' "value of time" with noisy data: a multiple imputation approach," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 865-889, December.
    14. Peer, Stefanie & Knockaert, Jasper & Koster, Paul & Tseng, Yin-Yen & Verhoef, Erik T., 2013. "Door-to-door travel times in RP departure time choice models: An approximation method using GPS data," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 134-150.
    15. Bhat, Chandra R. & Sardesai, Rupali, 2006. "The impact of stop-making and travel time reliability on commute mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 709-730, November.
    16. Hossan, Md Sakoat & Asgari, Hamidreza & Jin, Xia, 2016. "Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 638-649.
    17. Börjesson, Maria & Eliasson, Jonas & Franklin, Joel, 2012. "Valuations of travel time variability in scheduling versus mean-variance models," Working papers in Transport Economics 2012:2, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    18. Zuo, Chengchoa & Birkin, Mark & Clarke, Graham & McEvoy, Fiona & Bloodworth, Andrew, 2018. "Reducing carbon emissions related to the transportation of aggregates: Is road or rail the solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 26-38.
    19. Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2004. "Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment," Transport Policy, Elsevier, vol. 11(1), pages 31-41, January.
    20. repec:dgr:uvatin:20100091 is not listed on IDEAS
    21. Barahimi, Amir Hossein & Eydi, Alireza & Aghaie, Abdolah, 2021. "Multi-modal urban transit network design considering reliability: multi-objective bi-level optimization," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:118:y:2018:i:c:p:747-758. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.