An analysis of transfer decision-making behavior considering the influence of real-time bus information

To realize the efficient connection or integrated seamless connection of multi-mode passenger flow transfer is an effective means to improve travel efficiency and service level, and also an important technical safeguard measure to improve the attractiveness of public transport. Based on SP survey data of transit mode choice behavior of passengers in bus transfer, MNL model is used to establish passenger transfer mode choice behavior model in two situations: regardless of the impact of real-time bus information and considering the impact of real-time bus information. Python programming is used to solve the MNL model and calibrate model parameters. According to the fitting results, the influence of real-time bus information on passengers' transfer mode selection was analyzed.