Integrated Airline Scheduling: Considering Competition Effects and the Entry of the High Speed Rail

Airlines and high speed rail are increasingly competing for passengers, especially in Europe and Asia. Competition between them affects the number of captured passengers and, therefore, revenues. The authors consider competition between airlines (legacy and low-cost) and high speed rail. The authors develop a new approach that generates airline schedules using an integrated mixed integer, nonlinear optimization model that captures the impacts of airlines’ decisions on passenger demand. The authors estimate the demand associated with a given schedule using a nested logit model. The authors report their computational results on realistic problem instances of the Spanish airline IBERIA and show that the actual airline schedules are found to be reasonably close to the schedules generated by the authors' approach. Next, the authors use this optimization modeling approach under multimodal competition to evaluate multiple scenarios involving entry of high speed rail into new markets. The authors account for the possibility of demand stimulation as a result of the new services. The authors validate their approach using data from markets that had an entry by high speed rail in the past. The out-of-sample validation results show a close match between the predicted and observed solutions. Finally, the authors use their validated model to predict the impacts of future entry by high speed rail in new markets. The authors' results provide several interesting and useful insights into the schedule changes, fleet composition changes, and fare changes that will help the airline cope effectively with the entry of high speed rail.


  • English

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  • Accession Number: 01633869
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 1 2017 9:36AM