Long-term evolution of airport networks: Optimization model and its application to the United States

Santos, Miguel G.; Antunes, António Pais

doi:10.1016/j.tre.2014.10.016

Cited by 14 publications

(6 citation statements)

References 39 publications

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“…Another line of research has focused on the evolution of air transport networks [26][27][28][29]. Using worldwide flight schedules data between 1979 and 2007, Azzam et al analyzed the evolution of the worldwide air transportation network and found that the degree distribution is nonstationary, growing at an accelerated rate [30].…”

Section: Literature Reviewmentioning

confidence: 99%

A Comparative Study on Flight Delay Networks of the USA and China

Wang

Hong-feng

et al. 2020

Journal of Advanced Transportation

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Recent studies have characterized the structures of air transport network in different countries and regions using complex network metrics. These studies coincided with the trend of increasingly available large empirical flight datasets that enable researchers to investigate the dynamics of the system, such as the propagation of flight delay. However, linking network structure with network dynamics remains a challenging task. In this paper, we proposed a method to construct flight delay networks from operational data. We provided a detailed comparison of the key structural properties of the flight delay networks in the United States and China. The comparisons of betweenness centrality of delay networks and flight networks show the advantage of the proposed method. We further found that airports in similar geographical locations do exhibit similar delay patterns in both countries. To explore the underlying mechanisms, the Multifractal Detrended Fluctuation Analysis (MF-DFA) is applied to the flights’ delay time series at both the airport level and network level. Singularity spectra analyses reveal the fundamental characteristics of the airport systems and air transportation system. Our findings contribute to the understanding of structure and dynamics of air transportation systems.

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Section: Literature Reviewmentioning

confidence: 99%

A Comparative Study on Flight Delay Networks of the USA and China

Wang

Hong-feng

et al. 2020

Journal of Advanced Transportation

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“…Lordan et al (2014aLordan et al ( , 2014bLordan et al ( , 2015 concentrated on the robustness of ATN. Xu et al (2014) and Santos and Antunes (2015) employed planning models to optimize the structures of ATNs.…”

Section: Socio-economic Properties Of Atnsmentioning

confidence: 99%

Evolution trends of the network structure of Spring Airlines in China: A temporal and spatial analysis

Jiang

Yao

Wang

et al. 2017

Journal of Air Transport Management

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…Consequently, how to optimize terminal maneuver area operation has became a meaningful problem [2,3] . In addition, many other measures can also be adopted to deal with this problem which motivates the terminal maneuver area optimization techniques in order to better utilize system resources [4] . In practice, airspace, aircraft, and air traffic controller are limited system resources, the usage of them must be optimized through the application of an effective planning process.…”

Section: Introductionmentioning

confidence: 99%

Anti-interference planning of flight path in terminal maneuvering area

Yun-xiang

Jun

2024

IEEE Access

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Determining conflict-free aircraft path that include uncertainty while efficiently using the available resource is critical for air transportation. However, many of these approaches assume perfect knowledge therefore the interference immunity of these methods is questionable. In this paper, we propose a anti-interference technique depend on the dynamic property of the path planning. Firstly, we propose a modeling approach to the problem of complete time for scheduled flights. Then, we discuss some cost criterions and demonstrate how they can be used to obtain optimal scheduling in a dynamic environment. Simulations results are shown to illustrate the model performance.

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Long-term evolution of airport networks: Optimization model and its application to the United States

Cited by 14 publications

References 39 publications

A Comparative Study on Flight Delay Networks of the USA and China

A Comparative Study on Flight Delay Networks of the USA and China

Evolution trends of the network structure of Spring Airlines in China: A temporal and spatial analysis

Anti-interference planning of flight path in terminal maneuvering area

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