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The research has three objectives: i) to develop a methodology for identifying latent variables that are used as explanatory variables in choice models; ii) to develop a methodology for incorporating latent choice sets in discrete choice models; and iii) to apply the proposed methods to destination choice analysis of vacation trips. Linear structural equation models are employed to identify latent variables. Latent choice sets are described by random constraint models. A practical estimation method for probabilistic choice set models with large number of alternatives is also proposed. A case study of the destination choice analysis of vacation trips shows effectiveness of the proposed methods.

DESTINATION CHOICE ANALYSIS OF VACATION TRIPS CONSIDERING ATTRACTIVENESS OF REGIONS AND PROBABILISTIC CHOICE SETS