A network modelling approach to flight delay propagation: some empirical evidence from China

Weiwei Wu, Haoyu Zhang (Corresponding author), Tao Feng, Frank Witlox

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
68 Downloads (Pure)


This paper examines flight delay propagation in air transport networks. Delays add to additional costs, inefficiencies, and unsustainable development. An integrated flight-based susceptible-infected-susceptible (FSIS) model was developed to analyse the flight delay process from a network-based perspective. The probability of flight delay propagation was determined using a translog model. The model was applied to an airline network consisting of thirty-three routes involving three airlines. The results show that the propagation probability is network-related and varies across different routes. The variation is related to the flight frequencies at airports, route distances, scheduled buffer times, and the propagated delay time. Whereas buffer time has a greater impact on smaller airports, flight movement has a greater impact on larger airports. Having a better understanding of how delays happen can help the development of strategies to avoid them. This will lead to less costs, higher efficiencies, and more sustainable airport and airline development.

Original languageEnglish
Article number4408
Number of pages16
Issue number16
Publication statusPublished - 1 Aug 2019


  • Air transport network
  • China
  • Delay propagation probability
  • Flight delay propagation
  • Susceptible-infected-susceptible (SIS) model


Dive into the research topics of 'A network modelling approach to flight delay propagation: some empirical evidence from China'. Together they form a unique fingerprint.

Cite this