Dataset for Airline Departure Delay Prediction

Published: 24 September 2024| Version 1 | DOI: 10.17632/j3zfnxk56h.1
Contributors:
Yajun Lu,
,

Description

This dataset was utilized in the research paper titled "Flight Delay Dynamics: Unraveling the Impact of Airport-Network-Spilled Propagation on Airline On-Time Performance." The associated code for this study is available on GitHub at https://github.com/yajun668/AirlineDelayPrediction

Files

Steps to reproduce

This dataset draws upon three primary sources of data for the empirical experiments. Airport classification data is obtained from the Federal Aviation Administration (FAA). The airline on-time performance data, encompassing all domestic flights within the U.S., is collected from the Bureau of Transportation Statistics (BTS) of the U.S. Department of Transportation. This research also incorporates detailed airport-specific weather data, which we sourced from the Iowa Environmental Mesonet (IEM), administered by Iowa State University.

Categories

Network Analysis, Airline, Flight, Flight Dynamics, Explainable Artificial Intelligence

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