United States Department of Transportation
i
Examining Minimum Information Requirements for Electronic Aeronautical Charts
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2021-04-01
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[PDF-3.02 MB]
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Edition:Final
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Abstract:The purpose of this research was to identify a set of minimum information elements for user- configurable electronic aeronautical charts. The concept examined in this study is that pilots brief with a fixed chart but then fly with a user-configurable aeronautical chart, which may not include all the information elements that were briefed. The authors conducted a survey to identify a set of minimum information element requirements for this operational concept. They invited 1,351 transport, commuter, military, and general aviation pilots to participate; 326 responded (a 24% response rate), but only 267 pilots met the inclusion criteria. Of these, 229 pilots completed the survey (60 air transport pilots, 60 commuter pilots, 60 general aviation pilots and 49 military pilots). The survey was comprised of lists of information elements shown on four types of aeronautical charts: 1) Instrument Approach Procedure (IAP), 2) Enroute Instrument Flight Rules (IFR), 3) Standard Terminal Arrival Route (STAR), and 4) Standard Instrument Departure (SID). There were a total of 427 information elements across charts, so to prevent survey fatigue, the authors divided the information elements into two surveys. The first survey included information elements on IAP/Enroute IFR charts (221 information elements), and the second survey included information elements from SID/STAR charts (206 information elements). For each survey, participants were instructed to rate the importance of information elements for a new charting concept, which uses customizable electronic charts that are interactive and customized to display only information elements needed to execute the procedure. The authors analyzed the data using one-way chi-square tests and consulted with subject matter experts to identify a criticality level for each information element. Based on this analysis, the authors were able to categorize 85% of the information elements across all four chart types. The authors then developed prototype charts to visualize what the concept might look like.
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