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An analysis of maritime ro-ro freight transport service attributes through adaptive stated preference: an application to a sample of freight forwarders

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  • Bergantino, Angela Stefania
  • Bolis, Simona

Abstract

In this paper we present preliminary evidence from a pilot study carried out with the primary objective of testing the validity of adaptive conjoint data collecting methods in analysing operators’ preferences when redirecting current on-land transport services to a hypothetical maritime ro-ro service alternative. The analysis has focussed on a sample of freight forwarders. Through a combination of Revealed Preferences and Adaptive Stated Preference Experiments we have constructed a database of their preferences toward the maritime ro-ro alternative using a set of transport service attributes: price, reliability, frequency, transit time, etc. We have estimated the relevant parameters through a Tobit model and have been able to calculate relative trade-off values among the significant attributes. The resulting ranking highlights the relative importance of reliability and frequency in the decision to switch to maritime services.

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File URL: http://hdl.handle.net/10077/5782
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Bibliographic Info

Article provided by ISTIEE, Institute for the Study of Transport within the European Economic Integration in its journal European Transport / Trasporti Europei.

Volume (Year): (2004)
Issue (Month): 25-26 ()
Pages: 33-51

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Handle: RePEc:sot:journl:y:2004:i:25-26:p:33-51

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Related research

Keywords: Adaptive Stated Preferences; Conjoint analysis; Ro-ro maritime service; Freight transport; Freight forwarders;

References

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  1. Angela S. Bergantino & Simona Bolis, 2003. "An Adaptive Conjoint Analysis of Freight Service Alternatives: Evaluating the Maritime Alternative," ERSA conference papers ersa03p428, European Regional Science Association.
  2. Brownstone, 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 qt45f996hh, University of California Transportation Center.
  3. Rico Maggi & Simona Bolis, 1998. "Adaptive stated preference analysis of shippers? transport and logistics choice," ERSA conference papers ersa98p496, European Regional Science Association.
  4. Simona Bolis & Rico Maggi, 2003. "Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 34(4), pages 490-504.
  5. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
  6. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
  7. Maier, Gunther & Bergman, Edward M., 2000. "Stated Preferences For Transport Among Industrial Cluster Firms," ERSA conference papers ersa00p486, European Regional Science Association.
  8. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
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Citations

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Cited by:
  1. Miguel Ángel López-Navarro, 2014. "Environmental Factors and Intermodal Freight Transportation: Analysis of the Decision Bases in the Case of Spanish Motorways of the Sea," Sustainability, MDPI, Open Access Journal, vol. 6(3), pages 1544-1566, March.
  2. 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.
  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.

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