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Analysis of modal shift potential towards intermodal transportation in short-distance inland container transport

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  • Kurtuluş, Ercan
  • Çetin, İsmail Bilge

Abstract

This study investigated modal shift potential in short-distance inland container transport by considering behavioral aspects of inland container transportation mode choice using the stated choice experiment technique. This was applied to one short-distance inland container transportation corridor in Turkey between Denizli region and the seaports of Izmir. The stated choice experiment in this study included two alternatives, intermodal-rail and road transport, as they are the two inland transportation modes available in this transport corridor. These transportation modes were described by five attributes: transportation cost, transit time, delay percentage, frequency and free time. Estimation results show that all five attributes are statistically significant, however, transit time is only statistically significant in the estimations of mixed logit models with random transit time coefficient indicating the preference heterogeneity of the respondents towards the transit time. The elasticities indicate that the transportation cost attribute has the biggest impact on mode choice and the modal shift is more sensitive to the road transport costs than the transportation cost of intermodal rail. The simulations showed that the most effective policy for modal shift towards intermodal rail in the investigated corridor is doubling the train frequency and reducing transit time 50% depending on the increased frequency. The outcomes and methodological approach of the study can provide a framework for developing effective modal shift policies to reduce the high road dependency of inland container transportation in Turkey and other countries. The case-specific approach can also help to identify modal shift policies and practices tailored to the characteristics of applied transportation corridors.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:trapol:v:89:y:2020:i:c:p:24-37
    DOI: 10.1016/j.tranpol.2020.01.017
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    as
    1. 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.
    2. G. Kuder & M. Richardson, 1937. "The theory of the estimation of test reliability," Psychometrika, Springer;The Psychometric Society, vol. 2(3), pages 151-160, September.
    3. Dimitrios Tsamboulas, 2008. "Development Strategies for Intermodal Transport in Europe," Chapters, in: Rob Konings & Hugo Priemus & Peter Nijkamp (ed.), The Future of Intermodal Freight Transport, chapter 14, Edward Elgar Publishing.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    5. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    6. 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.
    7. 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.
    8. Hensher, David A. & Collins, Andrew T. & Rose, John M. & Smith, Nariida C., 2013. "Direct and cross elasticities for freight distribution access charges: Empirical evidence by vehicle class, vehicle kilometres and tonne vehicle kilometres," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 1-21.
    9. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    10. 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.
    11. Pei Liu & Dong Mu & Daqing Gong, 2017. "Eliminating Overload Trucking via a Modal Shift to Achieve Intercity Freight Sustainability: A System Dynamics Approach," Sustainability, MDPI, vol. 9(3), pages 1-24, March.
    12. Tao, Xuezong & Wu, Qin & Zhu, Lichao, 2017. "Mitigation potential of CO2 emissions from modal shift induced by subsidy in hinterland container transport," Energy Policy, Elsevier, vol. 101(C), pages 265-273.
    13. 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.
    14. Y Bouchery & Jan C Fransoo, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," Post-Print hal-01954452, HAL.
    15. Rob Konings & Hugo Priemus & Peter Nijkamp (ed.), 2008. "The Future of Intermodal Freight Transport," Books, Edward Elgar Publishing, number 3738.
    16. Bouchery, Yann & Fransoo, Jan, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 388-399.
    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. Bhat, Chandra R. & Castelar, Saul, 2002. "A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 593-616, August.
    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. 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.
    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. Macharis, Cathy & Van Hoeck, Ellen & Pekin, Ethem & van Lier, Tom, 2010. "A decision analysis framework for intermodal transport: Comparing fuel price increases and the internalisation of external costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 550-561, August.
    23. Beuthe, Michel & Jourquin, Bart & Geerts, Jean-François & Koul à Ndjang' Ha, Christian, 2001. "Freight transportation demand elasticities: a geographic multimodal transportation network analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(4), pages 253-266, August.
    24. María Feo-Valero & Leandro García-Menéndez & Rodrigo Garrido-Hidalgo, 2011. "Valuing Freight Transport Time using Transport Demand Modelling: A Bibliographical Review," Transport Reviews, Taylor & Francis Journals, vol. 31(5), pages 625-651.
    25. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    26. 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.
    27. Daniel McFadden, 1975. "The Revealed Preferences of a Government Bureaucracy: Theory," Bell Journal of Economics, The RAND Corporation, vol. 6(2), pages 401-416, Autumn.
    28. Brownston, David & Bunch, David S. & Train, Kenneth, 1999. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," University of California Transportation Center, Working Papers qt7rf7s3nx, University of California Transportation Center.
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