The O&D Summary report, depicted in Figure 1, details passenger and revenue fluctuations by airline within each designated Origin-Destination (O&D) market. It only displays the top 5000 O&D markets with the most significant revenue change. In each market, only airlines in an alliance and top 10 independent airlines (‘~ ~’ in the Alliance field) with the most significant systemwide revenue change will be specified. Remaining records will be collectively aggregated and represented as ‘~ ~’ in the AL_Group and AL fields.

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Table 1 below outlines the data structure, with the data metrics aggregated by the combination of fields with a key icon (key).

FieldDescription
Org keyOrigin airport of the true O&D trip
Dst keyDestination airport of the true O&D trip
Alliance keyAlliance name. “~ ~” for the aggregation of all independent airlines.
AL_Group keyAirline group defined in the Group_Airline table
AL keyIATA code of the dominant marketing airline
Pax_OldNumber of passengers traveling on the specific O&D trip, with the specified airline as dominant marketing airline, in the ‘before’ case during the target month
Pax_NewNumber of passengers by O&D and airline in the ‘after’ case
Pax_ChangeChange of passenger count by O&D and airline from the ‘before’ case to the ‘after’ case
Rev_OldRevenue in USD from the specific O&D trip and airline in the ‘before’ case during the target month
Rev_NewRevenue in USD from the specific O&D trip and airline in the ‘after’ case
Rev_ChangeChange in revenue from the specific O&D trip and airline from the ‘before’ case to the ‘after’ case
Rev_Share_OldShare of revenue by the specific airline relative to revenue by all airlines on the specific O&D trip in the ‘before’ case
Rev_Share_NewShare of revenue by the specific airline relative to revenue by all airlines on the specific O&D trip in the ‘after’ case
Annual_Pax_OldAnnualized passenger count in the ‘before’ case (equals to Pax_Old * 12)
Annual_Pax_NewAnnualized passenger count in the ‘after’ case (equals to Pax_New * 12)
Annual_Pax_ChangeAnnualized passenger change from the ‘before’ case to the ‘after’ case (equals to Pax_Change * 12)
Annual_Rev_OldAnnualized revenue in the ‘before’ case (equals to Rev_Old * 12)
Annual_Rev_NewAnnualized revenue in the ‘after’ case (equals to Rev_New * 12)
Annual_Rev_ChangeAnnualized revenue change from the ‘before’ case to the ‘after’ case (equals to Rev_Change * 12)
Table 1: Data Structure