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The continuing debate concerning the fate of Canadian intercity passenger rail services involves considerable uncertainty related to both the costs and demand expected to result from the adoption of any alternative. This paper addresses the demand side of this issue by reviewing recent experience in modelling intercity passenger travel in North America. In particular, the paper focusses on the state-of-the-art in intercity passenger modal choice modelling, which represents perhaps the single most critical component of the overall demand forecasting process. Section 2 of the paper reviews two methods which comprise the majority of recent efforts in this field : the multinomial logit model and the more general nested logit model. Section 3 reviews research investigating the functional form of intercity models. Section 4 then reviews six multinomial and three structured logit models which collectively are judged to represent the current state of intercity mode choice modelling. Finally, Section 5 summarizes the paper's major findings. For the covering abstract of this conference, see IRRD number 853879.