Study on modal split method based on nested Logit model

In order to reduce the forecasting error caused by the independence form irrelevant alternatives of traditional model, traffic modals are divided into public traffic and private traffic according to the service objects. Traffic modals that have similar factors are classified into the same arrangement. The nested modal split model is demarcated by the investigational data in Beijing. According to the calculating results, discrete factors that affect arrangement 1 and 2 are in turn the age, have a car or not, pay mode and income, travel aim. Continuous factors are travel time and cost. According to the results, the precision of the model introduced in this paper is high.