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Attribute cut-offs in freight service selection

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  • Danielis, Romeo
  • Marcucci, Edoardo

Abstract

The paper applies the choice model incorporating attribute cut-offs proposed by [Swait, J.D., 2001. A non-compensatory choice model incorporating attribute cutoffs. Transportation Research: Part B 35 (10), 903-928] to evaluate shippers' preferences for freight service attributes. A stated preference experiment on a sample of Italian manufacturing firms shows that the marginal utilities of attributes are not constant over the whole range of values presented, and that significant improvements can be made by introducing non-linearities at points specified by individual respondents. It is found that the conventional model overestimates the importance of the attributes, though their relative ranking is maintained. The proposed choice model provides useful information on the difficulty of achieving a modal transfer of freight from road to truck-rail intermodal transport.

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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

Volume (Year): 43 (2007)
Issue (Month): 5 (September)
Pages: 506-515

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Handle: RePEc:eee:transe:v:43:y:2007:i:5:p:506-515

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Related research

Keywords: Freight transport demand Intermodal transport Discrete choice modelling Stated preference Attribute cut-offs;

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Cited by:
  1. Masiero, Lorenzo & Hensher, David A., 2010. "Analyzing loss aversion and diminishing sensitivity in a freight transport stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 349-358, June.
  2. Lucia Rotaris & Romeo Danielis & Igor Sarman & Edoardo Marcucci, 2012. "Testing for nonlinearity in the choice of a freight transport service," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 50, pages 4.
  3. 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.
  4. 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.
  5. Stathopoulos, Amanda & Hess, Stephane, 2012. "Revisiting reference point formation, gains–losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1673-1689.
  6. Comi, Antonio & Delle Site, Paolo & Filippi, Francesco & Nuzzolo, Agostino, 2012. "Urban Freight Transport Demand Modelling: a State of the Art," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 8.
  7. Amanda Stathopoulos & Stephane Hess, 2011. "Referencing, Gains-Losses Asymmetry And Non-Linear Sensitivities In Commuter Decisions: One Size Does Not Fit All!," Working Papers 0511, CREI Università degli Studi Roma Tre, revised 2011.
  8. 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.

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