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Crabbe, Marjolein
Vandebroek, Martina
Year of Publication: 
[Journal:] Journal of Choice Modelling [ISSN:] 1755-5345 [Volume:] 5 [Year:] 2012 [Issue:] 1 [Pages:] 22-45
Most attributes in transportation studies, such as the travel time and the travel cost of a travel mode or road alternative, have a clear rank order in their attribute levels. Therefore one option in a choice set of an experimental design can dominate the other alternatives in the set. This research finds Bayesian D-efficient designs for a specific setup in the transportation field. It is shown that with a proper choice of prior information which adequately incorporates the dominance of lower attribute levels, no choice sets with a dominant alternative will be included in the efficient designs.
discrete choice experiments
dominant alternative
prior information
Bayesian D-efficient designs
conditional logit model
nested logit model
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