IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v49y2013icp91-109.html
   My bibliography  Save this article

Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split

Author

Listed:
  • Truschkin, Eugen
  • Elbert, Ralf

Abstract

The technological solutions for the horizontal transshipment of non-liftable semi-trailers allow the decision makers in the transport market to consider an additional transport alternative to road transportation in the mode choice decision: combined transport. This study explores the modal split between road freight transport and combined transport that is enabled by horizontal transshipment technologies, given a dependence on the changing transport mode characteristics that are caused by direct intervention through transport policies as well as by changing environmental factors such as increasing freight volume or diesel prices. In addition, the impact of the heterogeneous forwarders’ business models is considered. To estimate the modal split between the road and the combined transport, we combine a Bass model with a discrete choice model. Based on the data derived from an online questionnaire distributed to German forwarders, the model estimates a maximum 42% market penetration ratio for the combined transport. This ratio is captured with the help of the direct subsidization of rail line hauling, which is consequently the strongest lever for the modal shift. This lever is followed by the introduction of long trains, bringing a maximum market penetration of approximately 35%. We reveal that the policies that directly promote combined transport have a stronger effect on the modal shift than the policies that discriminate against road transport. Furthermore, we find that the leverage of the transport policies for the medium range distances is significantly higher than for the long distances. These results can be used as a decision support by government officials for the configuration of their specific transport policies as well as by logistics service providers to adjust their technology investment decisions based on the anticipated user demand in different situations.

Suggested Citation

  • Truschkin, Eugen & Elbert, Ralf, 2013. "Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 91-109.
    • Handle: RePEc:eee:transa:v:49:y:2013:i:c:p:91-109
    DOI: 10.1016/j.tra.2013.01.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856413000311
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2013.01.024?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. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    2. Bergantino, Angela Stefania & Bolis, Simona, 2004. "An analysis of maritime ro-ro freight transport service attributes through adaptive stated preference: an application to a sample of freight forwarders," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 25-26, pages 33-51.
    3. Tal, Gil & Cohen-Blankshtain, Galit, 2011. "Understanding the role of the forecast-maker in overestimation forecasts of policy impacts: The case of Travel Demand Management policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 389-400, June.
    4. Van Schijndel, W. -J. & Dinwoodie, J., 2000. "Congestion and multimodal transport: a survey of cargo transport operators in the Netherlands," Transport Policy, Elsevier, vol. 7(4), pages 231-241, October.
    5. Romeo Danielis & Lucia Rotaris & Luca Buzzulini & Elvira Biktimirova, 2010. "The choice between road transport and rolling motorway: a case study," Working Papers 1003, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    7. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
    8. Rich, J. & Holmblad, P.M. & Hansen, C.O., 2009. "A weighted logit freight mode-choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 1006-1019, November.
    9. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    10. Vrtic, M. & Fröhlich, P. & Schüssler, N. & Axhausen, K.W. & Lohse, D. & Schiller, C. & Teichert, H., 2007. "Two-dimensionally constrained disaggregate trip generation, distribution and mode choice model: Theory and application for a Swiss national model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 857-873, November.
    11. Bontekoning, Y. M. & Macharis, C. & Trip, J. J., 2004. "Is a new applied transportation research field emerging?--A review of intermodal rail-truck freight transport literature," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 1-34, January.
    12. 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.
    13. Danielis, Romeo & Marcucci, Edoardo & Rotaris, Lucia, 2005. "Logistics managers' stated preferences for freight service attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(3), pages 201-215, May.
    14. Feo, María & Espino, Raquel & García, Leandro, 2011. "An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea," Transport Policy, Elsevier, vol. 18(1), pages 60-67, January.
    15. Shinghal, Nalin & Fowkes, Tony, 2002. "Freight mode choice and adaptive stated preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 367-378, September.
    16. 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.
    17. Tsamboulas, Dimitrios & Vrenken, Huub & Lekka, Anna-Maria, 2007. "Assessment of a transport policy potential for intermodal mode shift on a European scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 715-733, October.
    18. Romeo Danielis & Lucia Rotaris & Luca Buzzulini & Elvira Biktimirova, 2010. "The choice between road transport and rolling motorway: a case study," Working Papers 10_3, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    19. BLAUWENS, Gust & VANDAELE, Nico & VAN DE VOORDE, Eddy & VERNIMMEN, Bert, 2006. "Towards a modal shift in freight transport? A business logistics analysis of some policy measures," LIDAM Reprints CORE 1812, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    20. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    21. 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.
    22. 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.
    23. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    24. Lee, Jongsu & Cho, Youngsang, 2009. "Demand forecasting of diesel passenger car considering consumer preference and government regulation in South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 420-429, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Kurtuluş, Ercan & Çetin, İsmail Bilge, 2020. "Analysis of modal shift potential towards intermodal transportation in short-distance inland container transport," Transport Policy, Elsevier, vol. 89(C), pages 24-37.
    4. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

    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. Kurtuluş, Ercan & Çetin, İsmail Bilge, 2020. "Analysis of modal shift potential towards intermodal transportation in short-distance inland container transport," Transport Policy, Elsevier, vol. 89(C), pages 24-37.
    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. Reis, Vasco, 2014. "Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 100-120.
    5. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    6. 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.
    7. Arencibia, Ana Isabel & Feo-Valero, María & García-Menéndez, Leandro & Román, Concepción, 2015. "Modelling mode choice for freight transport using advanced choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 252-267.
    8. 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.
    9. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    10. Thi Yen Pham & Ki Young Kim & Gi-Tae YEO, 2018. "The Panama Canal Expansion and Its Impact on East–West Liner Shipping Route Selection," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    11. 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.
    12. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    13. Tsamboulas, Dimitrios & Vrenken, Huub & Lekka, Anna-Maria, 2007. "Assessment of a transport policy potential for intermodal mode shift on a European scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 715-733, October.
    14. van Blommestein, Kevin & Daim, Tugrul U. & Cho, Yonghee & Sklar, Paul, 2018. "Structuring financial incentives for residential solar electric systems," Renewable Energy, Elsevier, vol. 115(C), pages 28-40.
    15. Jawaher Binsuwadan & Gerard De Jong & Richard Batley & Phill Wheat, 2022. "The value of travel time savings in freight transport: a meta-analysis," Transportation, Springer, vol. 49(4), pages 1183-1209, August.
    16. Lu, Changxiang & Ye, Yong & Fang, Yongjun & Fang, Jiaqi, 2023. "An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Morales-Fusco, Pau & Saurí, Sergi & Lago, Alejandro, 2012. "Potential freight distribution improvements using motorways of the sea," Journal of Transport Geography, Elsevier, vol. 24(C), pages 1-11.
    18. Anders F. Jensen & Elisabetta Cherchi & Stefan L. Mabit & Juan de Dios Ortúzar, 2017. "Predicting the Potential Market for Electric Vehicles," Transportation Science, INFORMS, vol. 51(2), pages 427-440, May.
    19. Konstantinus, Abisai & Zuidgeest, Mark & Hess, Stephane & de Jong, Gerard, 2020. "Assessing inter-urban freight mode choice preference for short-sea shipping in the Southern African Development Community region," Journal of Transport Geography, Elsevier, vol. 88(C).
    20. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.

    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:49:y:2013:i:c:p:91-109. 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.