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Micro-level analysis of airport delay externalities using deterministic queuing models: a case study

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  • Hansen, Mark
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    Abstract

    We analyze runway delay externalities at Los Angeles International Airport (LAX) using a deterministic queuing model. The model allows us to estimate the delay impact of each specific arriving flight on each other specific arriving flight. We find that, despite being only moderately congested (average queuing delay only 4min per arriving flight), individual flights can generate as much as 3 aircraft-hours of external delay impact on other flights, with an average impact of 26 aircraft-minutes and 3400 seat-minutes. About 90 percent of this impact is external to the airline as well as the flight, a consequence of the lack of a dominant airline at LAX. We then compare the delay impact of each individual flight to its contribution to schedule convenience by determining the amount of “schedule delay†that would result if the flight were eliminated and its passengers forced to use the previous flight flown by the same airline from the same origin. We find that a number of commuter flights serving high density, short-haul segments generate much more queuing delay than they save in schedule delay, with the ratio exceeding 10 in several cases. We argue that social welfare would increase if such flights were eliminated, upsizing others as necessary to accommodate the displaced loads.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Air Transport Management.

    Volume (Year): 8 (2002)
    Issue (Month): 2 ()
    Pages: 73-87

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    Handle: RePEc:eee:jaitra:v:8:y:2002:i:2:p:73-87

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    Web page: http://www.journals.elsevier.com/journal-of-air-transport-management/

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    Cited by:
    1. Branko Bubalo & Joachim Daduna, 2011. "Airport capacity and demand calculations by simulation—the case of Berlin-Brandenburg International Airport," Netnomics, Springer, vol. 12(3), pages 161-181, October.
    2. Nombela, Gustavo & de Rus, Gines & Betancor, Ofelia, 2004. "Internalizing airport congestion," Utilities Policy, Elsevier, vol. 12(4), pages 323-331, December.
    3. Swaroop, Prem & Zou, Bo & Ball, Michael O. & Hansen, Mark, 2012. "Do more US airports need slot controls? A welfare based approach to determine slot levels," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1239-1259.
    4. Liu, Yi & Hansen, Mark & Zou, Bo, 2013. "Aircraft gauge differences between the US and Europe and their operational implications," Journal of Air Transport Management, Elsevier, vol. 29(C), pages 1-10.
    5. Zou, Bo & Hansen, Mark, 2012. "Flight delays, capacity investment and social welfare under air transport supply-demand equilibrium," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 965-980.
    6. Martin, Juan Carlos & Betancor, Ofelia, 2006. "Evaluating different pricing policies on social welfare: an application to Madrid Barajas," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 32, pages 114-135.
    7. Brey, Raúl & Walker, Joan L., 2011. "Latent temporal preferences: An application to airline travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(9), pages 880-895, November.

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