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A weighted logit freight mode-choice model

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  • Rich, J.
  • Holmblad, P.M.
  • Hansen, C.O.

Abstract

The paper describes the estimation of a weighted discrete choice model applicable for analysing choice of mode and crossing for freight in the Oresund region. The study finds that, by applying a weighted logit approach, it is possible to establish a suitable decoupling of agents and shipments. Moreover, by assessing preferences on the basis of a representative baseline OD matrix it is possible to better reflect the dependence between mode substitution effects and geography/infrastructure. The paper presents demand elasticities with respect to monetary cost and travel time as well as value-of-time estimates for five modes and thirteen commodity groups.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transe:v:45:y:2009:i:6:p:1006-1019
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Abate , Megersa & Vierth , Inge & Karlsson , Rune & de Jong , Gerard & Baak , Jaap, 2016. "Estimation and implementation of joint econometric models of freight transport chain and shipment size choice," Working papers in Transport Economics 2016:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Russian Presidential Academy of National Economy and Public Administration authors collective, 2012. "The Consequences of Weak Competition: Quantitative Evaluation and Policy Implications (Think Tank Report)," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 1-49.
    3. 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.
    4. KUPFER, Franziska & KESSELS, Roselinde & GOOS, Peter & VAN DE VOORDE, Eddy & VERHETSEL, Ann, 2013. "A discrete choice approach for analysing the airport choice for freighter operations in Europe," Working Papers 2013028, University of Antwerp, Faculty of Applied Economics.
    5. Wang, Hua & Meng, Qiang & Zhang, Xiaoning, 2014. "Game-theoretical models for competition analysis in a new emerging liner container shipping market," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 201-227.
    6. Winebrake, James J. & Green, Erin H. & Comer, Bryan & Corbett, James J. & Froman, Sarah, 2012. "Estimating the direct rebound effect for on-road freight transportation," Energy Policy, Elsevier, vol. 48(C), pages 252-259.
    7. repec:spr:jbecon:v:87:y:2017:i:8:d:10.1007_s11573-017-0847-7 is not listed on IDEAS
    8. Rowangould, Gregory, 2013. "Public financing of private freight rail infrastructure to reduce highway congestion: A case study of public policy and decision making in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 25-36.
    9. 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.
    10. repec:eee:transa:v:102:y:2017:i:c:p:212-227 is not listed on IDEAS
    11. Kupfer, Franziska & Kessels, Roselinde & Goos, Peter & Van de Voorde, Eddy & Verhetsel, Ann, 2016. "The origin–destination airport choice for all-cargo aircraft operations in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 53-74.

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