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An analysis of the implicit choice set generation using the constrained multinomial logit model
Transport and Mobility Laboratory, Ecole Polytechnique Federale de Lausanne.
Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne.
2010 (English)In: Transportation Research Record, ISSN 0361-1981, Vol. 2175, 92-97 p.Article in journal (Refereed) Published
Abstract [en]

Discrete choice models are defined conditional to the analyst's knowledge of the actual choice set. The common practice for many years has been to assume that individual-based choice sets can be deterministically generated on the basis of the choice context and characteristics of the decision maker. This assumption is not valid or not applicable in many situations, and probabilistic choice set formation procedures must be considered. The constrained multinomial logit model (CMNL) has recently been proposed as a convenient way to deal with this issue, as it is also appropriate for models with a large choice set. In this paper, how well the implicit choice set generation of the CMNL approximates the explicit choice set generation is analyzed as described in earlier research. The results based on synthetic data show that the implicit choice set generation model may be a poor approximation of the explicit model

Place, publisher, year, edition, pages
2010. Vol. 2175, 92-97 p.
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-76745DOI: 10.3141/2175-11ISI: 000286448700011ScopusID: 2-s2.0-78651312014OAI: diva2:491118
TSC import 813 2012-02-06. QC 20120425Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2012-04-25Bibliographically approved

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Bierlaire, MichelFlötteröd, Gunnar
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