Understanding how people choose their travel modes is crucial for evaluating transportation improvements. Traditional models may not capture this accurately, so researchers used nested logit models to better predict mode choices in the Ontario-Quebec corridor. These models showed that rail shares increase more with service improvements compared to traditional models, but the reasons for this increase vary. This suggests the need for more nuanced models to understand individual choices in transportation.