Multi-factor Airport Taxi Managerial Model Based on Marginal Curve

In this article, based on the data of Shanghai Pudong International Airport(PVG), a model of decision-making management of airport taxi is created and analyzed. A multi-factor decision model is developed to decide whether drivers get into the taxi storage pool depending on how the cost of waiting compares with the cost of driving back without passengers. We plot the marginal curve of the number of taxis in pool to the time change. For the problem of arrangement of the pick-up locations, a multi-objective optimization model is created with the rule of “certain amounts in turn”. For the priority of short-distance drivers, with the goal of the minimum standard deviation of returns, they can pick up the passengers without waiting. By using the data of PVG into the model, we get the marginal curve of the maximal number of taxis in storage pool to time, the optimal pick-up locations and the optimal time subsidy for short-distance drivers. The effect and rationality of the model are verified.