[Purposes] This study explores the path optimisation problem of piggyback delivery of same-city courier in regular passenger service by NetJourney cars in view of the characteristics of limited delivery range, high timeliness and wide coverage of same-city courier. [Methods] By analysing the vehicle historical trajectory data to simulate the order location information, and based on the concept of three-way win-win, a path optimisation model for piggybacking express delivery by NetJourney cars is constructed, aiming at maximising the total enterprise revenue, while providing economic benefits for passengers and ensuring the timeliness of express delivery. The model takes into account the constraints of passenger time window, vehicle load rating and courier delivery time; based on genetic algorithm, the combined coding strategy is designed and the operator analysis process is improved to effectively solve the matching problem between multi-vehicles and static orders; finally, the analysis of the arithmetic example and parameter sensitivity are carried out. [Findings] The results show that:compared with the traditional passenger and freight transport modes, the piggyback mode reduces the operation of 16 vehicles, reduces the cost of vehicle use by 7.25%, and reduces the total vehicle travelling time by 1.94%; at the same time, the mode improves the total revenue of the enterprise by 14.41% and reduces travelling expenses for passengers by 9.84%. [Conclusions] This shows that the net taxi piggybacking on the same city courier mode can not only greatly improve the enterprise's revenue, but also effectively improve the vehicle's use rate, all-round to meet the needs of the passengers and courier, while reducing the passenger travelling costs, and the practicability and feasibility of the method is better.