Research on Campus Sharing Bike Price Decision Considering Subsidy

Learning from the public transportation subsidy model, a certain subsidy to shared bicycles on campus is considered here, and supplemented by subsidy penalties linked to service quality. By considering the elastic demand affected by price, a multi-mode stochastic user equilibrium bi-level programming model with the goal of maximizing social welfare is established, and a genetic algorithm combined with the MAS algorithm is designed to solve the optimal price. Actual campus case data is used to verify the model and algorithm. The results show that there exists a certain subsidy rate that can make corporate profits and bicycle sharing rate reach the optimal rate, setting the ratio linked to service quality too high will limit the growth of social welfare, and the amount of shared bicycle must reach a certain scale in order to make society welfare advantage greater than the profit advantage.