Travel Choice Analysis of Stochastic Transfer in Urban Public Transport Systems: Theory and Application

Urban public transport systems play a very important role in large cities, and the policy of public transportation is often considered in the urban transport planning and the development of traffic control measures. Based on a new type of discrete choice model, a stochastic transfer optimization model of public transport is presented. The travel time, the transfer waiting time, and the number of transfers are all addressed in the model. A parameter estimate method containing the Newton-Raphson algorithm to the stochastic transfer optimization model is proposed. The experiment on the data set collected from a recent survey in the city of Lanzhou, China, proves the correctness and the efficiency of our method.