Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering

Research on Aircraft Delay Ranking

Authors
Xiao Wang
Corresponding Author
Xiao Wang
Available Online August 2016.
DOI
10.2991/essaeme-16.2016.87How to use a DOI?
Keywords
Cluster analysis, AHP
Abstract

In this paper, an improved AHP model based on clustering analysis is used to analyze the global main airports, and it gains the airport ranking which delay the most seriously. Compared with the project, results are not consistent with the results obtained from the project. Therefore it concludes that the outcome from project is not accurate. In the model, rating is based on the standard tier of different levels of delay, and according to the cluster analysis, it eliminates the airport agencies which deviated from the unified standard, and gets the weight of different levels of delay, and then calculates the total weighted delay rate to acquire the specific ranking.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2016
ISBN
978-94-6252-220-6
ISSN
2352-5398
DOI
10.2991/essaeme-16.2016.87How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiao Wang
PY  - 2016/08
DA  - 2016/08
TI  - Research on Aircraft Delay Ranking
BT  - Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering
PB  - Atlantis Press
SP  - 416
EP  - 419
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-16.2016.87
DO  - 10.2991/essaeme-16.2016.87
ID  - Wang2016/08
ER  -