LOGISTICS MANAGERS' STATED PREFERENCES FOR FREIGHT SERVICE ATTRIBUTES

Conjoint analysis is a stated preference technique often used in freight and passenger transport studies. This study uses an adaptive conjoint analysis (ACA) experiment to estimate logistics managers' preferences for freight service attributes in two Italian regions. Experiments were conducted with ACA software that provides utility estimates for each attribute level at the end of each interview and collects data on respondents' choices among hypothetical options to perform standard econometric estimates of discrete choice models. Four attributes characterize each hypothetical option: cost, time, reliability and damage/safety. Two sets of estimates have been obtained: (1) the utilities associated to each attribute level for each experiment, and (2) the attribute utility via an ordered probit model. Both estimates indicate, on average, a strong preference for attributes of quality (time, reliability and safety) over cost. These results confirm that successful modal shift policies should focus mainly on the quality aspects of the mode to be promoted.

Language

  • English

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Filing Info

  • Accession Number: 00989094
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 18 2005 12:00AM