Based on the multi-mode transport network environment, an experimental platform for multi-mode combined route choice behavior was built to explore the multi-mode combined route choice laws of subjects with different information acceptance willingness. Firstly, based on information acceptance willingness data, the subjects were divided into three classes with respectively low, medium and high willingness to accept information by potential profile analysis. Secondly, z-Tree software was used to set up the transport network with corresponding route cost function, and 200 rounds of experiments about multi-mode combined route choice for subjects of different classes were then conducted. Finally, the experimental data was processed and analyzed and the following results were obtained. The subjects were almost unwilling to change strategies after 40 rounds of experiments, and the experimental transport network reached a balanced state. There are differences in the multi-mode combined route choice behavior among subjects with different information acceptance willingness: the average travel cost shows low > medium > high; The decision switching frequency shows medium > high > low; Compared with subjects with low information acceptance willingness, subjects with medium information acceptance willingness are more inclined to direct response pattern, while subjects with high information acceptance willingness are more inclined to opposite response pattern.