To extend the literature, a nonlinear programming model is proposed for the joint optimization of pricing and seat allocation in high-speed rail (HSR) networks. Meanwhile, multistage and discriminatory pricing strategies are employed to attract more passengers and improve total revenue. Following the ...
Analysis of a Joint Pricing and Seat Allocation Model in a Hub-to-Hub Airline NetworkOptimal pricingAirline networkStructural propertiesPrimal-dual90B06In airline revenue management, after differentiating products on each itinerary according to various restrictions, management needs to set the prices for ...
Overbooking is managed by inflating the physical capacity using a static overbooking model, followed by seat allocation (excluding overbooking) on the inflated capacity. This simplification, although not optimal, has been the practice since the birth of revenue management. In this paper, we solve ...
Optimal pricingAirline networkStructural propertiesPrimal-dualIn airline revenue management,after differentiating products on each itinerary according to various restrictions,management needs to set the prices for the products.A deterministic joint pricing and seat allocation model is proposed.It is reduced to...
This article presents an approach for modeling the combined effects of pricing and fare class seat allocation on realized passenger demand, with the objective of solving for the optimal fares and fare class booking limits jointly and simultaneously. In our model, the underlying demand volume is a ...
Hetrakul and Cirillo [27,28] first formulated latent class and mixed logit models by internet booking data to analyze railway passenger choice behavior, then proposed a joint optimization model for pricing and seat allocation with the assumption of deterministic demand. All studies of railway revenue...