New model revolutionizes decision-making process for transportation choices in Paris.
The article explores different ways to model how people make choices, focusing on how they decide which options to consider and how their preferences vary. The researchers compared two models, mixed logit and latent class logit, in a study of how people choose their mode of transportation in Paris. They found that incorporating prior decision rules can improve the accuracy of these models in predicting real-world choices.
