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  <title>EconStor Collection:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/66790" />
  <subtitle />
  <id>https://hdl.handle.net/10419/66790</id>
  <updated>2026-05-07T00:45:49Z</updated>
  <dc:date>2026-05-07T00:45:49Z</dc:date>
  <entry>
    <title>Using appropriate prior information to eliminate choice sets with a dominant alternative from D-efficient designs</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/66843" />
    <author>
      <name>Crabbe, Marjolein</name>
    </author>
    <author>
      <name>Vandebroek, Martina</name>
    </author>
    <id>https://hdl.handle.net/10419/66843</id>
    <updated>2023-11-26T02:26:01Z</updated>
    <published>2012-01-01T00:00:00Z</published>
    <summary type="text">Title: Using appropriate prior information to eliminate choice sets with a dominant alternative from D-efficient designs
Authors: Crabbe, Marjolein; Vandebroek, Martina
Abstract: 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.</summary>
    <dc:date>2012-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Accessibility and the role of the consideration set in spatial choice modelling: A simulation study</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/66816" />
    <author>
      <name>Pramono, Ari</name>
    </author>
    <author>
      <name>Oppewal, Harmen</name>
    </author>
    <id>https://hdl.handle.net/10419/66816</id>
    <updated>2023-12-09T02:25:25Z</updated>
    <published>2012-01-01T00:00:00Z</published>
    <summary type="text">Title: Accessibility and the role of the consideration set in spatial choice modelling: A simulation study
Authors: Pramono, Ari; Oppewal, Harmen
Abstract: 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 maker's level of access to the alternatives. It is proposed that in conditions where the decision maker's accessibility toward alternatives is constrainedfor example as a result of time space feasibilitya two-stage model will perform better than a on-stage model. The more restrictive the constraints, the more important the role of the consideration set. The paper presents a simulation analysis of the effects of geographical accessibility on consideration and choice in the context of motorists' decisions where to refuel. It simulates a grid road network where the motorists' access to petrol stations is constrained by the geographical location of the alternatives, the availability of network connections between them and the decision makers' time budgets. In this hypothetical spatial environment the study simulates consideration and choice processes for refuelling options under different conditions of petrol station access, (non-spatial) station attractiveness, and heterogeneity in the decision maker's time budget.</summary>
    <dc:date>2012-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The first time is the hardest: A test of ordering effects in choice experiments</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/66841" />
    <author>
      <name>Carlsson, Fredrik</name>
    </author>
    <author>
      <name>Mørkbak, Morten Raun</name>
    </author>
    <author>
      <name>Olsen, Søren Bøye</name>
    </author>
    <id>https://hdl.handle.net/10419/66841</id>
    <updated>2023-12-13T02:52:14Z</updated>
    <published>2012-01-01T00:00:00Z</published>
    <summary type="text">Title: The first time is the hardest: A test of ordering effects in choice experiments
Authors: Carlsson, Fredrik; Mørkbak, Morten Raun; Olsen, Søren Bøye
Abstract: 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 ordering effects in a sequence of 16 choice sets, where the last eight choice sets are identical to the first eight. We find evidence of changes in preferences. More precisely there are differences in preferences for the price attribute for the two identical sequences. Moreover, we find a reduction in the error variance for the last eight choice sets relative to the first eight choice sets. This is mainly caused by very high error variances in the first two choice sets. These results imply that learning effects in terms of institutional learning as well as - though in our case only to a limited extent - preference learning can indeed be of significant structural importance when conducting CE surveys.</summary>
    <dc:date>2012-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Freight transport distance and weight as utility conditioning effects on a stated choice experiment</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/66847" />
    <author>
      <name>Masiero, Lorenzo</name>
    </author>
    <author>
      <name>Hensher, David A.</name>
    </author>
    <id>https://hdl.handle.net/10419/66847</id>
    <updated>2023-12-12T02:32:23Z</updated>
    <published>2012-01-01T00:00:00Z</published>
    <summary type="text">Title: Freight transport distance and weight as utility conditioning effects on a stated choice experiment
Authors: Masiero, Lorenzo; Hensher, David A.
Abstract: 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 used in order to describe a freight transport service in a stated choice framework are cost, time, punctuality and risk of damages, respectively. This paper investigates the role of origin-destination distance and weight of freight transport services introducing a conditioning effect, where the standard utility function is conditioned on the freight transport distance. We refer to this model form as a heteroskedastic panel multinomial logit (panel HMNL) model. This model form outperforms the underlying unconditioned model and suggests that an appropriate conditioning effect leads to an improved understanding of the derived measures, such as measures for marginal rates of substitution.</summary>
    <dc:date>2012-01-01T00:00:00Z</dc:date>
  </entry>
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