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Inherent delays and operational reliability of airline schedules

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  • Wu, Cheng-Lung

Abstract

This paper explores the inherent delays of airline schedules resulting from limited buffer times and stochastic disruptions in airline operations. The reliability of airline schedules is discussed and a set of measuring indices is developed to evaluate schedule reliability. It is found that significant gaps exist between the real operating delays, the inherent delays (from simulation) and the zero-delay scenario. Delay propagation and its impact on schedule reliability are also discussed. Results show that airline schedules must consider the stochasticity in daily operations. Schedules may become robust and reliable, only if buffer times are embedded and designed properly in airline schedules.

Suggested Citation

  • Wu, Cheng-Lung, 2005. "Inherent delays and operational reliability of airline schedules," Journal of Air Transport Management, Elsevier, vol. 11(4), pages 273-282.
    • Handle: RePEc:eee:jaitra:v:11:y:2005:i:4:p:273-282
    DOI: 10.1016/j.jairtraman.2005.01.005
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    References listed on IDEAS

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    1. Cynthia Barnhart & Natashia L. Boland & Lloyd W. Clarke & Ellis L. Johnson & George L. Nemhauser & Rajesh G. Shenoi, 1998. "Flight String Models for Aircraft Fleeting and Routing," Transportation Science, INFORMS, vol. 32(3), pages 208-220, August.
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    5. Wu, Cheng-Lung & Caves, Robert E., 2002. "Towards the optimisation of the schedule reliability of aircraft rotations," Journal of Air Transport Management, Elsevier, vol. 8(6), pages 419-426.
    6. Cheng-Lung Wu & Robert E. Caves, 2003. "Flight schedule punctuality control and management: a stochastic approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(4), pages 313-330, August.
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    Cited by:

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    4. Cheng-Lung Wu, 2006. "Improving Airline Network Robustness and Operational Reliability by Sequential Optimisation Algorithms," Networks and Spatial Economics, Springer, vol. 6(3), pages 235-251, September.
    5. Ivanov, Nikola & Netjasov, Fedja & Jovanović, Radosav & Starita, Stefano & Strauss, Arne, 2017. "Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 183-197.
    6. Scotti, Davide & Dresner, Martin & Martini, Gianmaria, 2016. "Baggage fees, operational performance and customer satisfaction in the US air transport industry," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 139-146.
    7. Wu, Cheng-Lung & Law, Kristie, 2019. "Modelling the delay propagation effects of multiple resource connections in an airline network using a Bayesian network model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 62-77.
    8. Li, Chi & Mao, Jianfeng & Li, Lingyi & Wu, Jingxuan & Zhang, Lianmin & Zhu, Jianyu & Pan, Zibin, 2024. "Flight delay propagation modeling: Data, Methods, and Future opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    9. Michelle Dunbar & Gary Froyland & Cheng-Lung Wu, 2012. "Robust Airline Schedule Planning: Minimizing Propagated Delay in an Integrated Routing and Crewing Framework," Transportation Science, INFORMS, vol. 46(2), pages 204-216, May.
    10. Diana, Tony, 2009. "Do market-concentrated airports propagate more delays than less concentrated ones? A case study of selected U.S. airports," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 280-286.
    11. Rodríguez-Sanz, à lvaro & Comendador, Fernando Gómez & Valdés, Rosa Arnaldo & Pérez-Castán, Javier A., 2018. "Characterization and prediction of the airport operational saturation," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 147-172.
    12. Mulder, J. & van Jaarsveld, W.L. & Dekker, R., 2016. "Simultaneous optimization of speed and buffer times for robust transportation systems," Econometric Institute Research Papers EI2016-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. PeCoy, Michael D. & Redmond, Michael A., 2023. "Flight reliability during periods of high uncertainty," Journal of Air Transport Management, Elsevier, vol. 106(C).
    14. Chen, Lu & Li, Yong-Quan & Liu, Chih-Hsing, 2019. "How airline service quality determines the quantity of repurchase intention - Mediate and moderate effects of brand quality and perceived value," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 185-197.
    15. van Schilt, Isabelle M. & van Kalker, Jonna & Lefter, Iulia & Kwakkel, Jan H. & Verbraeck, Alexander, 2024. "Buffer scheduling for improving on-time performance and connectivity with a multi-objective simulation–optimization model: A proof of concept for the airline industry," Journal of Air Transport Management, Elsevier, vol. 115(C).
    16. Diana, Tony, 2018. "An evaluation of the impact of wake vortex re-categorization: The case of Charlotte Douglas International airport (CLT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 41-49.
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