Dynamics of disruption and recovery in air transportation networks
Name
13272_2021_521_ReferencePDF.pdf
Size
2.89 MB
Format
Adobe PDF
Checksum (MD5)
44150fa82b8e404a26928555d509354c
Author(s)
Li, Max Z.
Gopalakrishnan, Karthik
Balakrishnan, Hamsa
Shin, Sang H.
Jalan, Darsh
Nandi, Aritro
Marla, Lavanya
Date Issued
July 5, 2021
Publisher
Springer Vienna
Citation
Li, Max Z., Gopalakrishnan, Karthik, Balakrishnan, Hamsa, Shin, Sang H., Jalan, Darsh et al. 2021. "Dynamics of disruption and recovery in air transportation networks."
Version
Author's final manuscript
Abstract
Abstract
Flight delays occur in the air transportation system when disruptive events such as weather, equipment outage, or congestion create an imbalance between system capacity and demand. These cycles of disruptions and subsequent recoveries can be viewed from a dynamical systems perspective: exogenous inputs (convective weather, airspace restrictions, etc.) disrupt the system, inducing delays and inefficiencies from which the system eventually recovers. We study these disruption and recovery cycles through a state-space representation that captures the severity and spatial impact of airport delays. In particular, using US airport delay data from 2008 to 2017, we first identify representative disruption and recovery cycles. These representative cycles provide insights into the common operational patterns of disruptions and recoveries in the system. We also relate these representative cycles to specific off-nominal events such as airport outages, and elucidate the differing disruption–recovery pathways for various off-nominal events. Finally, we explore temporal trends in terms of when and how the system tends to be disrupted, and the subsequent recovery.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Attribution-NonCommercial-ShareAlike 4.0 International
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s13272-021-00521-x
