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Multiscale multifractal analysis on air traffic flow time series: A single airport departure flight case

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  • Liu, Hongzhi
  • Zhang, Xingchen
  • Zhang, Xie

Abstract

Multiscale multifractality of air traffic flow volume time series characterizes the operation and the evolution characteristics of the air traffic system in the temporal dimension, which are helpful in gaining a better understanding of the dynamical evolution mechanism of this system. We identify the airport departure air traffic flow volume time series is of multiscale multifractality via the investigation on the Hurst surface obtained by the multiscale multifractal analysis. The resulting Hurst surface is of distinct local fluctuation characteristics and shows distinct fractal characteristics on different scales. We confirm that the two types of multifractality both present in the time series, with the long-range correlation being the main cause of the multifractality. We extend multifractal spectra to multifractal spectrum surfaces to provide a common multiscale framework for exploring the multifractal strength, the dominant fluctuation type and the insensitivity of the multifractality. Furthermore, we find that we can use the time series of only 101 days, saving us 116 days, to obtain a quite similar Hurst surface whose difference to the original one is only 2.11662−7.

Suggested Citation

  • Liu, Hongzhi & Zhang, Xingchen & Zhang, Xie, 2020. "Multiscale multifractal analysis on air traffic flow time series: A single airport departure flight case," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119319958
    DOI: 10.1016/j.physa.2019.123585
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    Cited by:

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    2. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
    3. Chandra, Aitichya & Verma, Ashish & Sooraj, K.P. & Padhi, Radhakant, 2023. "Modelling and assessment of the arrival and departure process at the terminal area: A case study of Chennai international airport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    4. Memon, Bilal Ahmed & Yao, Hongxing & Naveed, Hafiz Muhammad, 2022. "Examining the efficiency and herding behavior of commodity markets using multifractal detrended fluctuation analysis. Empirical evidence from energy, agriculture, and metal markets," Resources Policy, Elsevier, vol. 77(C).
    5. Liu, Hongzhi & Zhang, Xie & Hu, Huaqing & Zhang, Xingchen, 2022. "Exploring the impact of flow values on multiscale complexity quantification of airport flight flow fluctuations," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    6. Adekoya, Oluwasegun B. & Asl, Mahdi Ghaemi & Oliyide, Johnson A. & Izadi, Parviz, 2023. "Multifractality and cross-correlation between the crude oil and the European and non-European stock markets during the Russia-Ukraine war," Resources Policy, Elsevier, vol. 80(C).
    7. Chen, Yunxiang & Zhao, Yifei & Wu, Yexin, 2024. "Recent progress in air traffic flow management: A review," Journal of Air Transport Management, Elsevier, vol. 116(C).

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