Congestion in a competitive world: a study of the impact of competition on airline operations

Air transport is a fast developing area. Airlines compete for a limited resource, namely airport capacity. The consequence is an increase in airport congestion, which generates huge delays that are enhanced due to delay propagation through the whole network. Currently, in the US, the Federal Aviation Association (FAA) only controls operational capacity allocation when disruptions occur with Ground Delay Programs (GDPs), and airlines are free to schedule their operations. In this paper, we propose a theoretical framework allowing to evaluate different regulations or incentives.

[1]  John R. Birge,et al.  A Stochastic Programming Approach to the Airline Crew Scheduling Problem , 2006, Transp. Sci..

[2]  Cynthia Barnhart,et al.  Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions , 2006, Transp. Sci..

[3]  Andrew Jacob Cusano Airline revenue management under alternative fare structures , 2003 .

[4]  Allan Larsen,et al.  Airline Disruption Management - Perspectives, Experiences and Outlook , 2007 .

[5]  Cynthia Barnhart,et al.  Mitigating airport congestion: market mechanisms and airline response models , 2009 .

[6]  Jim Saxton,et al.  JOINT ECONOMIC COMMITTEE , 1998 .

[7]  Cynthia Barnhart,et al.  Applications of Operations Research in the Air Transport Industry , 2003, Transp. Sci..

[8]  R. Wets,et al.  Stochastic programming , 1989 .

[9]  Michael O. Ball,et al.  Optimization and mediated bartering models for ground delay programs , 2006 .

[10]  Matteo Salani,et al.  Uncertainty Feature Optimization for the Airline Scheduling Problem , 2009 .

[11]  Nikolaos Papadakos,et al.  Integrated airline scheduling , 2009, Comput. Oper. Res..

[12]  Brian F. Havel,et al.  International Air Transport Association , 2010 .

[13]  François Soumis,et al.  An integrated aircraft routing, crew scheduling and flight retiming model , 2005, Comput. Oper. Res..

[14]  Jean-François Cordeau,et al.  Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling , 2000, Transp. Sci..

[15]  J. Oosterhaven,et al.  Annual Report 2008 , 2009 .

[16]  Oliver Weide,et al.  Robust and Integrated Airline Scheduling , 2009 .

[17]  Michael John Hanowsky A model to design a stochastic and dynamic ground delay program subject to non-linear cost functions , 2008 .

[18]  George L. Nemhauser,et al.  Airline Crew Scheduling Under Uncertainty , 2005, Transp. Sci..

[19]  John-Paul Clarke,et al.  Approaches to incorporating robustness into airline scheduling , 2000 .