In this article, we propose a pricing strategy for Amtrak Acela Express focusing on business class passenger departing from Washington, DC. A two-step process is proposed to model passenger demand. In the first step, passenger choice model of booking time is estimated using a multinomial
logit model. In the second step, a linear regression determines passenger demand in response to fare price; the effects of departure day of week and destination specific are incorporated. The proposed models, estimated on ticket reservation data, are incorporated into a non-linear programming
problem to maximize expected revenue. The results indicate a potential for significant revenue improvements.
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Document Type: Research Article
Department of Civil & Environmental Engineering, University of Maryland, College Park, Maryland, USA
Performance Measurement, Marketing & Product Development, National Railroad Passenger Corporation (Amtrak), Washington, DC, USA
Publication date: 2011-11-01