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Flight-delay propagation, allowing for behavioural response

Author

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  • Chaug-Ing Hsu
  • Che-Chang Hsu
  • Hui-Chieh Li

Abstract

This study constructs models to analyse flight-delay propagation, allowing for behavioural response. It investigates three scenarios: the same aircraft operating consecutive flights, consecutive flights with different aircraft using the same gate, and different flights using different aircraft involving the transfers. The case study further uses data from China Airline to demonstrate the application of the models. The probability distributions of the total, arrival and ground operation delays are derived. In addition, the probability of flights departing on time, the average wait for departure and the average departure delay of flights are calculated. The results show that the parameter representing the behavioural response is close to or exceeds 1, meaning that most of the buffer time is for consolidating more passengers into each flight. Furthermore, the departure delay of flights is larger when considering the effects of the time slot, than without considering the time slot.

Suggested Citation

  • Chaug-Ing Hsu & Che-Chang Hsu & Hui-Chieh Li, 2007. "Flight-delay propagation, allowing for behavioural response," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 3(3/4), pages 301-326.
    • Handle: RePEc:ids:ijcist:v:3:y:2007:i:3/4:p:301-326
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    Cited by:

    1. Bình Nghiêm-Phú, 2019. "What Determines the Loyalty of Airline Passengers? Findings of a Quantitative Data-Mining Study," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 31(1), pages 23-37.
    2. Nijolė Batarlienė & Neringa Slavinskaitė, 2023. "Assessment of Factors Determining Airline Consumer Loyalty: Case Study in Lithuania," Sustainability, MDPI, vol. 15(2), pages 1-15, January.

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