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Time series and forecasting · insight-0248

Model spill and unconstrained demand before estimating gains from added capacity

Evidence type
practitioner heuristic
Difficulty
hard
Roles
Data scientist, Data analyst
Industries
aviation

Summary: situation, action, reason, boundary

  1. Situation

    A planner asks for passenger gains if the aircraft on a route changes from 160 to 180 seats.

  2. Action

    Forecast unconstrained demand per departure, compute expected extra passengers as the expected demand above 160 capped at 180, and account for how fare controls would change with more seats.

  3. Reason

    Extra seats help only on departures where demand exceeds the old capacity, so the gain depends on the upper tail of the demand distribution, not its mean.

  4. Boundary

    Capacity planning in airlines, hotels, events, staffing and cloud provisioning.

Symptom or risk

Using a forecast of passengers flown, which was capped at 160, implies no gain or a naive gain of 20 on every flight.

Exceptions

If spill is small on almost all departures, a quick tail estimate from historical load factors may suffice.

Trade-offs

Unconstraining assumptions drive the answer; show results under several of them.

Pitfalls

Ignoring that more capacity can change pricing and competitor responses, which turns the question causal.

Example

Hypothetical: if 15% of departures would have demand above 160, gains come only from those departures.

Lessons and concepts