Efficient experimental designs aim to maximise the information obtained from stated choice data to estimate discrete choice models' parameters statistically efficiently. Almost without exception efficient experimental designs assume that decision-makers use a Random Utility Maximisation (RUM)...

While meta-analysis is typically used to identify value estimates for benefit transfer, applications also provide insights into the potential influence of methodological design characteristics on results of non-market valuation experiments. In this paper, a meta-analysis of nineteen choice...

The development of more realistic choice experiments has taken on board a number of suggestions in the broader hypothetical bias literature. One issue, in particular, is the increasing interest in finding ways to bridge the gap between the stated choice response and real choosing, as a way of...

A recurring issue in the discourse about choice modelling is the role of consideration sets. Many scholars have proposed that consumers will follow a twostage decision process. This paper argues that in spatial choice contexts the role of the consideration set may largely depend on the decision...

Designing a stated or discrete choice experiment (DCE) involves a process of developing, testing and optimizing the experiment questionnaire. This process is important for the success of the experiment and the validity of the results, but it is often not reported thoroughly. In the field of...

This paper addresses the issue of ordering effects in choice experiments, and in particular how learning processes potentially affect respondents' stated preferences in a sequence of choice sets. In a case study concerning food quality attributes of chicken breast filets, we find evidence of...

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...

The Integrated Hierarchical Information Integration (HII-I) approach allows to include a larger number of attributes in choice experiments by summarising similar attributes into constructs. In separate sub-experiments, one construct is described by its attributes while the other constructs are...

Within a freight transport context, the origin-destination distance and the weight of the shipment play an important role in the decision of the most preferred transport service and in the way logistics managers evaluate the transport service's attributes. In particular, the attributes commonly...

Louviere et al. (2008, J. of Choice Modelling, 1, 126-163) present two main empirical examples in which a respondent rank orders the options in various choice sets by repeated best, then worst, choice. They expand the ranking data to various implied choices in subsets and fit the expanded data...