The article discusses how traditional models for predicting transport choices only consider objective factors like travel time and cost, ignoring subjective attitudes and perceptions. The researchers used hybrid models that combine both objective attributes and hidden variables related to attitudes and perceptions to better predict transport mode choices. By analyzing real urban data, they found that these hybrid models outperformed traditional models, showing that including subjective factors leads to more accurate predictions.