scholarly journals On the multi-dimensionality and sampling of air transport networks

2016 ◽  
Vol 94 ◽  
pp. 95-109 ◽  
Author(s):  
Seddik Belkoura ◽  
Andrew Cook ◽  
José Maria Peña ◽  
Massimiliano Zanin
Keyword(s):  
Air Transport ◽  
Transport Networks ◽  
Air Transport Networks

scholarly journals Robustness and Edge Addition Strategy of Air Transport Networks: A Case Study of “the Belt and Road”

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 96470-96477
Author(s):  
Lu Zhang ◽  
Hongru Du ◽  
Xiaolei Zhang ◽  
Philippe De Maeyer ◽  
Bart Dessein ◽  
...  
Keyword(s):  
Air Transport ◽  
Transport Networks ◽  
Air Transport Networks ◽  
Belt And Road ◽  
The Belt And Road ◽  
Edge Addition

Integrators’ Air Transport Networks in Europe

2018 ◽  
Vol 19 (2) ◽  
pp. 557-581 ◽  
Author(s):  
Paolo Malighetti ◽  
Gianmaria Martini ◽  
Renato Redondi ◽  
Davide Scotti
Keyword(s):  
Air Transport ◽  
Transport Networks ◽  
Air Transport Networks

scholarly journals Recurrence in the evolution of air transport networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kashin Sugishita ◽  
Naoki Masuda
Keyword(s):  
Network Structure ◽  
Airline Industry ◽  
Air Transport ◽  
Transport Networks ◽  
Corporate Strategies ◽  
Airline Alliances ◽  
Network Change ◽  
Air Transport Networks ◽  
The Individual ◽  
Over Time

AbstractChanges in air transport networks over time may be induced by competition among carriers, changes in regulations on airline industry, and socioeconomic events such as terrorist attacks and epidemic outbreaks. Such network changes may reflect corporate strategies of each carrier. In the present study, we propose a framework for analyzing evolution patterns in temporal networks in discrete time from the viewpoint of recurrence. Recurrence implies that the network structure returns to one relatively close to that in the past. We applied the proposed methods to four major carriers in the US from 1987 to 2019. We found that the carriers were different in terms of the autocorrelation, strength of periodicity, and changes in these quantities across decades. We also found that the network structure of the individual carriers abruptly changes from time to time. Such a network change reflects changes in their operation at their hub airports rather than famous socioeconomic events that look closely related to airline industry. The proposed methods are expected to be useful for revealing, for example, evolution of airline alliances and responses to natural disasters or infectious diseases, as well as characterizing evolution of social, biological, and other networks over time.

CONNECTIVITY IN AIR TRANSPORT NETWORKS: AN ASSESSMENT OF THE POLISH AVIATION MARKET

2017 ◽  
Vol 70 (0) ◽  
pp. 53-62 ◽  
Author(s):  
Dariusz Tłoczyński
Keyword(s):  
Traffic Simulation ◽  
Air Traffic ◽  
Air Transport ◽  
Competitive Environment ◽  
Transport Networks ◽  
Complex Study ◽  
Econometric Methods ◽  
Air Transport Networks

Companies connected with air transport operate within a competitive environment and are, therefore, compelled to adjust their strategy in order to increase their competitiveness. One of the elements which has an effect on the level of competitiveness is accessibility, which is itself studied on different planes. Various approaches to the issue of accessibility may be found in aviation literature. Accessibility of region, accessibility of air transport, and temporal accessibility are amongst those distinguished. Analysis of the above mentioned factors is of particular importance with regards to launching new air links. The aim of this article is to discuss the issue of connectivity with regards to chosen Polish airports, taking into account the available network of connections with transit airports. Research discussed in this article may serve as grounds for a further complex study based on the use of advanced econometric methods for air traffic simulation.

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