Abstract
Abstract This paper reviews basic multinomial logit (MNL) models of shopping destination choice and some extensions to the basic MNL model. Issues include the identification and form of inclusion of measures of destination attractiveness, identification of the appropriate destination choice set, modelling multidestination tours and choices over time, and linking destination choice models with activity measures. The paper begins with a discussion of modelling philosophy and forecasting‐related informational needs and concludes with a summary of areas requiring further research.
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