Urban Rail Transport Coordination Based on Travel Time Cost

The study focuses on the travel time costs of public traffic, calculates them under different conditions in order to analyze the coordination of them. It’s finished by two stages. At the first stage, using generalized travel cost share rate forecasting model to forecast the share rates of different income groups using different travel modes. At the second stage, the share rate is used to determines the travel time cost function. Selecting distance and time as characteristic variables of the function, studying the change of it. Finally, taking Guangzhou as an example to analyze the coordination of the urban rail transit. The results indicate that it’s necessary to control the length of the line coincides between the subway and bus within 4km. It improves the accuracy and practicality of the model with consideration of more factors affecting the resident travel mode choice.