The article discusses how different models are used to predict people's choices in transportation, focusing on vehicle ownership decisions. Researchers have found that traditional models do not fully capture the dynamic nature of decision-making, particularly how past choices influence current decisions. They introduce dynamic models that consider previous choices, aiming to better understand the factors influencing vehicle ownership. The most commonly used model is the Multinomial Logit model, but it may not fully represent the complexity of decision-making processes. By incorporating the effects of past choices, researchers hope to improve the accuracy of predicting vehicle ownership decisions.