Research on airline disruption management based on computer algorithm considering passenger behavior choice

Abstract

In order to further improve the design of the airline disruption management computer-aided decision-making system. Based on the use of prospect theory to analyze passenger behavior choices, the paper uses time-band network and passenger transfer algorithm to establishes a two-objective integer programming model that minimizes airline recovery costs and passengers' psychological losses. Using actual data from a domestic airline for verification, the results show that the method proposed in this paper can effectively improve the quality of the flight recovery plan, and can provide a reference for the design of airline computer-aided decision-making system.