Reconstructing functional networks of air transport delay propagations with minimal information

Massimiliano Zanin

Physica A: Statistical Mechanics and its Applications, 2025, vol. 659, issue C

Abstract: In the last decade, statistical physics has joined the effort of the scientific community in the endeavour of understanding the structure and dynamics of air transport delay propagation, especially through the reconstruction and analysis of functional networks. While being a powerful instrument, such networks rely on the availability of large quantities of real data, and can only be used to describe historical dynamics. This contribution presents an alternative way of analysing public delay data, based on minimal information and a set of hypotheses about why and where observed delays had to be generated. We show how this analysis allows recovering known behaviours of the system, as the dependence of delays on the saturation of the arrival airport; but also how local and network propagation patterns can be detected ahead of time.

Keywords: Air transport; Delays; Complex networks; Functional networks (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:659:y:2025:i:c:s0378437124008288

DOI: 10.1016/j.physa.2024.130318

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