The Impact of Real-Time Bus Information on Passengers' Travel Choice

Nowadays, more and more passengers query public transport real-time information when they travel. In this study, SP and RP surveys were carried considering the situation of collinear and non-collinear bus lines. Applying stochastic utility theory, a BL and MNL model of passenger travel selection under two conditions were constructed respectively. According to the calibration results of the parameter model, the sensitivity analysis of the influencing factors is carried out. The analysis results showed that the factors that significantly affected the travel choice behavior of bus passengers include (from strong to weak) waiting time, the situation that the family owns the electric bicycle, the degree of congestion in the bus, the frequency of using real-time information, age, occupation, etc. This study has certain theoretical and practical significance for optimizing public transport information release strategy.