Denied Boarding Impacts

1 . A method comprising:

remapping, by a processor and based on a network value of a flight leg booking, the flight leg booking from a fare class to a network value class corresponding to the network value to create a remapped flight leg booking;

iteratively updating, by the processor, the flight leg booking based on at least one of an authorization parameter, the network value, a closing a plurality of seats for the flight leg booking in the fare class, a number of seat protects or the remapped flight leg booking;

determining, by the processor, an impact of a denied boarding on an airline flight that is scheduled for departure during a time period; and

adjusting, by the processor and based on updating of the impact of the denied boarding, the authorization parameter to provide a different voucher amount for a passenger on the airline flight based on latest conditions during the time period.

2 . The method of claim 1 , further comprising generating, by the processor, an electronic ticket voucher having an authorization parameter and the flight leg booking based on the flight leg booking of a seat on a first flight leg of the airline flight.

3 . The method of claim 1 , further comprising closing, by the processor, a plurality of seats for the flight leg booking in the fare class for a first flight leg.

4 . The method of claim 1 , further comprising determining, by the processor and based on a set of class authorization level (AU) values and for the fare class, a number of seat protects to fit to a bid-price curve.

5 . The method of claim 1 , further comprising determining, by the processor and for the fare class, even-spaced quantiles based upon a number of seat protects to fit in the fare class.

6 . The method of claim 1 , further comprising generating, by the processor, a set of expected network revenue (ENR) values based on even-spaced quantiles associated with a seat.

7 . The method of claim 1 , wherein the number of seat protects exceeds a number of even-spaced quantiles, and wherein at least two seat protects are allocated to the even-spaced quantile corresponding to a 0th percentile.

8 . The method of claim 1 , wherein the number of seat protects exceeds a number of even-spaced quantiles, and wherein the number of seat protects exceeding the number of even-spaced quantiles are all allocated to the even-spaced quantile corresponding to a 0th percentile.

9 . The method of claim 1 , further comprising improving, by the processor, network performance by:

analyzing a value of at least a subset of the flight leg bookings in a passenger itinerary to obtain more accurate data by avoiding under-valuation and over-valuation of the flight leg bookings; and

separating enhanced demand forecasting from fare class to reduce errors and reduce inaccurate data that slows down the network performance.

10 . The method of claim 1 , wherein if the fare class is an active class, a number of even-spaced quantiles is an achievable demand for the active class.

11 . The method of claim 1 , wherein if the fare class is a non-active class, a number of even-spaced quantiles is a pickup, wherein the pickup is equal to unconstrained demand less unconstrained bookings.

12 . The method of claim 1 , further comprising updating, responsive to the flight leg booking occurring in the fare class, the number of seat protects to fit to a bid-price curve for the fare class.

13 . The method of claim 12 , further comprising allocating, if the fare class is an active class, the flight leg booking to a lowest priced seat protect in the fare class.

14 . The method of claim 1 , further comprising updating, responsive to the flight leg booking occurring in the fare class, the number of seat protects to fit to a bid-price curve for the fare class evenly distributed across the fare class by an even-spaced quantile.

15 . The method of claim 1 , further comprising determining, via a non-parametric empirical distribution estimation, a distribution of revenue for the fare class.

16 . The method of claim 1 , further comprising, responsive to one of a number of seat protects has been filled via the flight leg booking, determining, by the processor and for the fare class associated with the flight leg booking, an update of a number of even-spaced quantiles based upon a reduction of the number of seat protects to fit in the fare class.

17 . The method of claim 1 , further comprising:

identifying, by the processor, local bookings in the flight leg booking;

identifying, by the processor, flow bookings in the flight leg booking;

determining, by the processor and for a leg in a flow booking, a leg value;

inserting, by the processor, the leg value in the flow booking into a stratification table;

generating, by the processor and utilizing the stratification table, a remapped booking for the leg of the flow booking; and

writing, by the processor, the remapped booking into a forecast system history pool.

18 . The method of claim 1 , further comprising determining the network value of the flight leg booking by utilizing an equation of the form:

Leg n value=( NR 1/( NR 1+ NR 2))*HP+Pricing, wherein

NR1=a first displacement cost of the seat on the first flight leg;

NR2=a second displacement cost of the seat on a second flight leg subsequent to the first flight leg;

HP=a hurdle point that is a minimum acceptable amount needing to be paid for the flight leg booking on the first flight leg in order to cover the first displacement cost;

Pricing=ODF−HP; and

ODF=an amount paid by the passenger for the flight leg booking

19 . A non-transitory computer-readable storage medium having computer-executable instructions stored thereon that, in response to execution by a processor, causes the processor to perform operations comprising:

remapping, by the processor and based on a network value of a flight leg booking, the flight leg booking from a fare class to a network value class corresponding to the network value to create a remapped flight leg booking;

iteratively updating, by the processor, the flight leg booking based on at least one of an authorization parameter, the network value, a closing a plurality of seats for the flight leg booking in the fare class, a number of seat protects or the remapped flight leg booking;

determining, by the processor, an impact of a denied boarding on an airline flight that is scheduled for departure during a time period; and

adjusting, by the processor and based on updating of the impact of the denied boarding, the authorization parameter to provide a different voucher amount for a passenger on the airline flight based on latest conditions during the time period.

20 . A system comprising:

a processor; and

a tangible, non-transitory memory configured to communicate with the processor,

the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising:

remapping, by the processor and based on a network value of a flight leg booking, the flight leg booking from a fare class to a network value class corresponding to the network value to create a remapped flight leg booking;

iteratively updating, by the processor, the flight leg booking based on at least one of an authorization parameter, the network value, a closing a plurality of seats for the flight leg booking in the fare class, a number of seat protects or the remapped flight leg booking;

determining, by the processor, an impact of a denied boarding on an airline flight that is scheduled for departure during a time period; and

adjusting, by the processor and based on updating of the impact of the denied boarding, the authorization parameter to provide a different voucher amount for a passenger on the airline flight based on latest conditions during the time period.