Dynamic pricing of ancillary services based on passenger choice behavior

Based on passenger choice behavior, a dynamic pricing mechanism of ancillary services has been brought up for analysis in this paper. With the analysis of the passenger choice behavior of ancillary services, this study (1) analyzed the pricing of ancillary services from airlines' websites, (2) launched a survey to investigate passengers' characteristics and preferences, (3) applied the binary logistic model to analyze passenger choice of ancillary services, and integrated into the dynamic pricing model of ancillary services. The optimal prices can be obtained at the maximum of the revenue. Based on the historical data of a Chinese domestic flight, the optimal prices of ancillary services for different types of passengers can be obtained at the maximum revenue of ancillary services, with a 74.4% increase of revenue. This paper not only created a general pricing model for improving the ancillary revenue but also provided theoretical support for ancillary pricing. The model with enough data can be dynamically applied to various flights and ancillary services.

Automated summary

This paper presents a dynamic pricing mechanism for ancillary services based on passenger choice behavior, with optimal prices derived from an analysis of historical data on a Chinese domestic flight, resulting in a 74.4% increase in revenue. The model not only provides a general pricing framework for enhancing ancillary revenue, but also offers theoretical support for ancillary pricing and can be dynamically applied to various flights and services.