Improving the IATA delay data coding system for enhanced data analytics

Cheng-Lung Wu and Tiffany Truong

Journal of Air Transport Management, 2014, vol. 40, issue C, 78-85

Abstract: Aviation delays inconvenience travelers and result in financial losses for stakeholders. Without complex data pre-processing, delay data collected by the existing IATA delay coding system are inadequate to support advanced delay analytics, e.g. large-scale delay propagation tracing in an airline network. Consequently, we developed three new coding schemes aiming at improving the current IATA system. These schemes were tested with specific analysis tasks using simulated delay data and were benchmarked against the IATA system. It was found that a coding scheme with a well-designed reporting style can facilitate automated data analytics and data mining, and an improved grouping of delay codes can minimise potential confusion at the data entry and recording stages.

Keywords: Delay codes; IATA delay coding scheme; Delay propagation; Propagation tree; Data analytics; Airline delays (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:40:y:2014:i:c:p:78-85

DOI: 10.1016/j.jairtraman.2014.06.001

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