Modeling the Large Scale Disruptions of an Airline Network
Publication: Journal of Transportation Engineering
Volume 131, Issue 4
Abstract
When the large-scale disruptions of airline networks occur, they can cause significant deterioration of the planned schedule. Such deterioration shows up in the form of long delays, rerouting and/or cancellation of flights. This paper presents a model for assessment of the economic consequences of large-scale disruptions of an airline single hub-and-spoke network. These consequences are expressed by the cost of delayed and cancelled complexes of flights. The model is based on the theory of queuing systems with the airline hub airport as a server and the complexes of flights as customers. The difference between the service time of the affected and planned complexes determine their delays caused by a given disruptive event. The cost of delays and revenues of the affected flights, and global airline mitigating strategies are used to determine the total airline cost of delayed and cancelled complexes. The model is applied to the disrupted hub-and-spoke network of a large European airline. The purpose is to illustrate the model’s planning nature, complexity of the problem, influence of the relevant factors, and the magnitude of the economic consequences.
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References
Allan, S. S., Beesley, A. J., Evans, E. J., and Gaddy, G. S. (2001). “Analysis of delay causality at Newark International Airport.” Proc., 4th USA/Europe Air Traffic Management R&D Seminar, Santa Fe, N.M., 11–11.
Andreatta, G. (1987). “Aircraft flow management under congestion.” Transp. Sci., 21(4), 249–253.
Association of European Airlines (AEA. (2001). Yearbook 2000, Brussels, Belgium.
Beatty, R., Hsu, R., Berry, L., and Rome, J. (1998). “Preliminary evaluation of flight delay propagation through an airline schedule.” Proc., 2nd USA/Europe Air Traffic Management R&D Seminar, Orlando, Fla., 9–9.
Bianco, L., and Bielli, M. (1992). “Air traffic management: Optimization models and algorithms.” J. Adv. Transp., 26(2), 131–167.
Blumstein, A. (1960). “An analytical investigation of airport capacity.” Rep. No. TA-1356-8-1, Cornell Aeronautical Laboratory.
Bureau of Transportation Statistics (BTS). (2001). “Airline service quality performance data.” US Department of Transportation, Office of Airline Information, Washington, D.C.
Campbell, K. C., Cooper, W. W.,Jr., Greenbaum, D. P., and Wojcik, L. A. (2000). “Modeling distributed human decision making in traffic flow management operations.” Proc., 3rd USA/Europe Air Traffic Management R&D Seminar, Napoli, Italy, 9–9.
EUROCONTROL (2001). “Delays to air transport in Europe—Annual 2000.” CODA—Central Office for Delay Analysis, Brussels, Belgium.
Gilbo, E. P. (1993). “Airport capacity: Representation estimation, optimization.” IEEE Trans. Control Syst. Technol., 1(3), 144–153.
Hall, R. W. (2001). “Truck scheduling for ground to air connectivity.” J. Air Transp. Manag., 7(6), 331–338.
Hall, R. W., and Chong, C. (1993). “Scheduling timed transfers at hub terminals.” Transportation and Traffic Theory Proc., 12th Int. Conf. on Traffic Flow Theory, C. F. Daganzo, ed., Berkeley, Calif. 217–236.
Harris, R. M. (1972). “Models for runway capacity analysis.” Technical Rep. No. MTR-4102, Rev. 2, The MITRE Corporation.
Hockaday, S. L. M., and Kanafani, A. (1974). “Development in airport capacity analysis.” Transp. Res., Part B: Methodol., 8(3), 171–180.
Institut de Transport Aèrien (ITA. (2000). “Cost of air transport delay in Europe.” Final Rep., Paris, France.
Janic, M. (2003). “Modeling operational, economic and environmental performance of an air transport network.” Transp. Res. Record, Part D, 8(6), 415–423.
Janic, M., and Tosic, V. (1982). “Terminal airspace capacity model.” Transp. Res., Part A, 16A(4), 253–260.
Johnston, E. L. (2000). “Airline integrated recovery and SimAIR.” Proc., AGIFORS Conf., Budapest, Hungary, 28–28.
Kanafani, A., and Ghobrial, A. A. (1985). “Airline hubbing—Some implications for airport economics.” Transp. Res., Part A, 19A(1), 15–27.
Lettovsky, L., Clarke, M. D. D., Johnson, E. L., and Smith, B. C. (1999). “Real-time recovery: Aircraft, crew & passengers.” Proc., AGIFORS Conf., Istanbul, Turkey, 22–22.
Lufthansa. (2003). “Annual Report 2002.” Deutsche Lufthansa Rep. No. AG CGN IR, Cologne, Germany.
Mayer, E., Rice, C., Jaillet, P., and McNerney, M. (1999). “Evaluating the feasibility of reliever and floating hub concepts when a primary hub experiences excessive delays.” Rep. prepared for Univ. of Austin, Austin, Tex.
Newell, G. F. (1979). “Airport capacity and delays.” Transp. Sci., 13(3), 201–241.
OAG (2002). Executive flight guide—Europe, OAG Office, Frankfurt, Germany.
Odoni, A. R., and Bowman, J. (1997). “Existing and required modeling capabilities for evaluating ATM systems and concepts.” Final Rep. No. NAG2-997, International Center for Air Transportation, Massachusetts Institute of Technology, Boston.
O’Kelly, M. E. (1998). “A geographer’s analysis of hub-and-spoke networks.” J. Transp. Geogr., 6(3), 171–186.
O’Kelly, M. E., Bryan, D., Skorin-Kapov, D., and Skorin-Kapov, J. (1997). “Hub network design with single and multiple allocation: A comparative study.” Locat. Sci., 4(3), 125–138.
Richetta, O. (1995). “Optimal algorithms and a remarkable efficient heuristic for the ground holding problem in air traffic control.” Oper. Res. 43(5), 758–770.
Richetta, O., and Odoni, A. R. (1993). “Solving optimally the static ground holding policy problem in air traffic control.” Transp. Sci., 27(3), 228–238.
Richetta, O., and Odoni, A. R. (1994). “Dynamic solution to the ground-holding problem in air traffic control.” Transp. Res., Part A: Policy Pract., 28A(3), 167–185.
Rosenberger, J. M., Schaefer, A. J., Goldsman, D., Johnson, E. L., Kleyweght, A. J., and Nemhauser, L. G. (2000). “A stochastic model of airline operations.” Working Paper 37, Georgia Institute of Technology, Atlanta.
Schaefer, L., and Millner, D. (2001). “Flight delay propagation analysis with the detailed policy assessment tool.” Proc., 2001 IEEE Systems, Man and Cybernetics Conf., Tucson, Ariz., 5–5.
Schavell, A. Z. (2000). “The effects of schedule disruptions on the economics of airline operations.” Proc., 3rd USA/Europe Air Traffic Management R&D Seminar, Napoli, Italy, 11–11.
Swedish, W. J. (1981). “Upgraded airfield capacity model.” Technical Rep. No. MTR-81W16, Vols. 1 and 2, The MITRE Corporation.
Terrab, M., and Odoni, A. R. (1993). “Strategic flow management in air traffic control.” Oper. Res. 41(1), 138–152.
Tosic, V., and Horonjeff, R. (1976). “Effects of Multiple Path Approach Procedures on Runway Landing Capacity.” Transp. Res. 10(5), 319–329.
Vranas, P., Bertsimas, D. J., and Odoni, A. R. (1994). “Dynamic ground holding policies for a network of airports.” Transp. Sci. 28(3), 275–291.
Welch, D. J., and Lloyd, T. R. (2001). “Estimating airport system delay performance.” Proc., 4th USA/Europe Air Traffic Management R&D Seminar, Santa Fe, N.M., 11–11.
Yu, G. (1998). Operational research in the airline industry, Kluwer Academic, Amsterdam, The Netherlands.
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© 2005 ASCE.
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Received: Apr 10, 2003
Accepted: Jul 20, 2004
Published online: Apr 1, 2005
Published in print: Apr 2005
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