Systemic delay propagation in the US airport network

被引:143
|
作者
Fleurquin, Pablo [1 ,2 ]
Ramasco, Jose J. [1 ]
Eguiluz, Victor M. [1 ]
机构
[1] CSIC UIB, IFISC, Palma De Mallorca 07122, Spain
[2] Innaxis Fdn & Res Inst, Madrid 28006, Spain
来源
SCIENTIFIC REPORTS | 2013年 / 3卷
关键词
TRANSPORTATION NETWORK; AIRLINE;
D O I
10.1038/srep01159
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Technologically driven transport systems are characterized by a networked structure connecting operation centers and by a dynamics ruled by pre-established schedules. Schedules impose serious constraints on the timing of the operations, condition the allocation of resources and define a baseline to assess system performance. Here we study the performance of an air transportation system in terms of delays. Technical, operational or meteorological issues affecting some flights give rise to primary delays. When operations continue, such delays can propagate, magnify and eventually involve a significant part of the network. We define metrics able to quantify the level of network congestion and introduce a model that reproduces the delay propagation patterns observed in the U.S. performance data. Our results indicate that there is a non-negligible risk of systemic instability even under normal operating conditions. We also identify passenger and crew connectivity as the most relevant internal factor contributing to delay spreading.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Reducing the propagation delay of compact block in Bitcoin network
    Kim, Aeri
    Essaid, Meryam
    Park, Sejin
    Ju, Hongtaek
    INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, 2024, 34 (03)
  • [42] Network analysis of Chinese air transport delay propagation
    Massimiliano Zanin
    Seddik Belkoura
    Zhu Yanbo
    Chinese Journal of Aeronautics, 2017, 30 (02) : 491 - 499
  • [43] Network analysis of Chinese air transport delay propagation
    Zanin, Massimiliano
    Belkoura, Seddik
    Zhu Yanbo
    CHINESE JOURNAL OF AERONAUTICS, 2017, 30 (02) : 491 - 499
  • [44] Multi-Step Regression Network With Attention Fusion for Airport Delay Prediction
    Wei, Zhenchun
    Zhu, Siwei
    Lyu, Zengwei
    Qiao, Yan
    Yuan, Xiaohui
    Zhao, Yang
    Zhang, Hao
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (07) : 7093 - 7105
  • [45] Systemic risk propagation in the Eurozone: A multilayer network approach
    Foglia, Matteo
    Pacelli, Vincenzo
    Wang, Gang-Jin
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2023, 88 : 332 - 346
  • [46] Propagation Index on Airport Delays
    Zhang, Mingyuan
    Zhou, Xuting
    Zhang, Yu
    Sun, Lijun
    Dun, Ming
    Du, Wenbo
    Cao, Xianbin
    TRANSPORTATION RESEARCH RECORD, 2019, 2673 (08) : 536 - 543
  • [47] Tracing delay network in air transportation combining causal propagation and complex network
    Feng D.
    Hao B.
    Lai J.
    International Journal of Intelligent Networks, 2024, 5 : 63 - 76
  • [48] Comparing the modeling of delay propagation in the US and European air traffic networks
    Campanelli, Bruno
    Fleurquin, Pablo
    Arranz, Andres
    Etxebarria, Izaro
    Ciruelos, Carla
    Eguiluz, Victor M.
    Ramasco, Jose J.
    JOURNAL OF AIR TRANSPORT MANAGEMENT, 2016, 56 : 12 - 18
  • [49] Delay propagation for a High-speed Railway Network with the Consideration of Primary Delay Derivation
    Lian, Wenbo
    Wu, Xingtang
    Zhou, Min
    Duan, Qinpei
    Dong, Hairong
    2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 2373 - 2377
  • [50] Cruciality: Role of Network Topology in Schedule Resilience to Delay Propagation
    Su, Y.
    Lucko, G.
    Isaac, S.
    CONSTRUCTION RESEARCH CONGRESS 2024: CONTRACTING, DELIVERY, SCHEDULING, ESTIMATING, ECONOMICS, AND ORGANIZATIONAL MANAGEMENT AND PLANNING IN CONSTRUCTION, 2024, : 228 - 237