the present work objective is the analysis of the united states air cargo transport during a decade, from the year 2004 to 2014. the network theory is used and indicators such as closeness and betweenness are calculated. the present work compares the networks and the respective metrics of the two main airlines of the industry and the other 18 biggest companies what enables the evaluation of the impact of economic recessions, such as the one from 2008, on these networks and the detection of assymetries between companies of different sizes. it is possible to note that, among other aspects, the air cargo transport graph is heavily influenced by the two main private companies of the sector, fedex and ups, what can be pointed out by, e.g., the number of nodes of 178 and 106 in 2014 respectively for these networks compared to 81 from the other 18 biggest companies.
Clicks: 276
ID: 237299
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
276 views
46 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #2 of 33 articles by views in nature machine intelligence
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The present work objective is the analysis of the United States air cargo transport during a decade, from the year 2004 to 2014. The network theory is used and indicators such as closeness and betweenness are calculated. The present work compares the networks and the respective metrics of the two main airlines of the industry and the other 18 biggest companies what enables the evaluation of the impact of economic recessions, such as the one from 2008, on these networks and the detection of assymetries between companies of different sizes. It is possible to note that, among other aspects, the air cargo transport graph is heavily influenced by the two main private companies of the sector, FedEx and UPS, what can be pointed out by, e.g., the number of nodes of 178 and 106 in 2014 respectively for these networks compared to 81 from the other 18 biggest companies.
| Reference Key |
malere2016transportesthe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Joao Pedro Pinheiro Malere;Vladimir Minas;Giovanna Miceli Ronzani Borille |
| Journal | nature machine intelligence |
| Year | 2016 |
| DOI |
10.14295/transportes.v24i4.1096
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.