Abstract: To solve the issue of residents' travel accessibility of middle and long distances by introducing sharing traffic, an evolutionary game model was established considering the heterogeneous characteristics of travellers and the state of urban traffic from three aspects: income matrix, neighbor network structure and policy transformation rules. The method of multi-agent simulation was used to study the evolution process of residents' middle and long distance trip mode after the introduction of sharing traffic, and the influence of relevant parameters on the evolution process was analyzed. Results show that the utility perception level can be used to describe the heterogeneous characteristics of the travellers; the travellers are mostly affected by the connection incentive utility in ordinary period; the increase of the external cost can make the traveller's choice in the morning and evening rush-hour more stable; the increase in connection incentive utility and external cost can encourage more travellers to use public transportation, however, the increase in the proportion of public transport is limited due to the presence of irrational travellers. Therefore, it is necessary to consider incentive efficiency when formulating urban transportation policies, and continuously improve urban transportation infrastructure to ensure that relevant policies play an incentive and regulatory role.