Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System

Dothang Truong; Mark A. Friend; Hongyun Chen

Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System

Dothang Truong, Mark A. Friend, Hongyun Chen

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Transportation Journal
Volume	57
State	Published - Jan 1 2018
Externally published	Yes

Disciplines

Economics
Operations and Supply Chain Management
Computer Sciences
Aviation

Cite this

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title = "Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System",

author = "Dothang Truong and Friend, {Mark A.} and Hongyun Chen",

note = "Flight on-time performance is one of the most important issues in the National Airspace System, a very complex and dynamic system. To avoid negative impacts to the aviation industry, the Federal Aviation Administration has set a long-term objective of understanding and mitigating flight delays.",

year = "2018",

month = jan,

day = "1",

language = "American English",

volume = "57",

journal = "Transportation Journal",

}

TY - JOUR

T1 - Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System

AU - Truong, Dothang

AU - Friend, Mark A.

AU - Chen, Hongyun

N1 - Flight on-time performance is one of the most important issues in the National Airspace System, a very complex and dynamic system. To avoid negative impacts to the aviation industry, the Federal Aviation Administration has set a long-term objective of understanding and mitigating flight delays.

PY - 2018/1/1

Y1 - 2018/1/1

UR - https://muse.jhu.edu/article/683793/pdf

M3 - Article

VL - 57

JO - Transportation Journal

JF - Transportation Journal

ER -

Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System

Disciplines

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Cite this