| dc.description.abstract | In foreign countries, many airports have car rental services and shared ride services. However, due to the impact of COVID-19 in the past two years, the flow of people in many airports has decreased significantly, which has also affected car rental companies and transportation network companies. Car rental companies sell their idle vehicles to maintain business operations. As the epidemic gradually eases, the previously sold cars have not been repurchased, resulting in a shortage of rental cars, but the demand has increased significantly, which has changed the price. Therefore, we believe that the number of rental cars will affect the pricing strategies of car rental companies and transportation network companies, and it will also affect the market share. In the literature, game theory model is often used to solve pricing strategy problems, so this thesis also uses game theory to solve pricing strategy problems, and we find that changes in the number of rental cars will indeed affect the pricing strategy and market share. Furthermore, in order to simulate the behavior of real-world agents, we use Nash Q-learning to simulate the pricing policies of two agents, the car rental company and the transportation network company, and the simulation results are consistent with the results of the game theory model. | en_US |