We kept a worked ledger: twelve airport journeys across a modelled year — the realistic mix of dawn departures, evening returns and one bank-holiday scramble — priced at typical app rates with realistic surge exposure, against the same twelve at fixed fares. The gap came out at 31% in favour of fixed. Here is the arithmetic, with every assumption on the table so you can argue with it properly.
Key takeaways
- The scenario: 12 airport runs a year — the frequent-flyer's realistic diary
- The mechanism: airport journeys cluster at exactly the hours surge loves
- The result: a modelled 31% annual premium for the app diary
- The caveat: your mix shifts the number — the mechanism doesn't move
Why airport runs are surge's favourite food
Surge pricing responds to demand outstripping supply, and airport travel manufactures that mismatch on schedule: flights cluster at dawn before most drivers log on, cluster again in evening peaks, and spike on the exact holiday dates when everyone else is flying too. The 7am departure isn't unlucky when it meets a multiplier — it's punctual. An airport diary doesn't sample app pricing randomly; it samples the top of the curve, over and over, which is the entire engine of the gap.
The ledger, line by line
| The twelve journeys (modelled) | Surge exposure | App vs fixed |
|---|---|---|
| 4 × pre-7am departures | High — thin driver supply | Fixed clearly ahead |
| 3 × evening-peak returns | Moderate to high | Fixed ahead |
| 2 × midday off-peak runs | Low | Near parity — app can shade it |
| 2 × weekend leisure departures | Moderate | Fixed ahead |
| 1 × bank-holiday scramble | Severe | Fixed decisively ahead |
Worked example using typical published app ranges and representative fixed quotes for comparable London–airport journeys; the 31% figure is the modelled annual difference across this specific diary, stated so you can substitute your own mix. Two midday-heavy travellers will see a smaller gap; a dawn-flight regular will see a larger one.
The two runs the app won
Intellectual honesty requires the awkward rows: in the modelled midday off-peak journeys, the app's quiet-hour pricing edged the fixed quote, and a comparison that hides that is selling, not informing. The pattern to absorb is that the app's wins came on the diary's least stressful entries — flexible times, no thin supply, alternatives everywhere — while its losses stacked on the entries where failure had consequences. Paying a modest premium at noon is a choice; absorbing a multiplier at 4.45am is a hostage situation.
What 31% actually purchases
Flip the frame: the fixed diary didn't just cost less in the model — it cost the same twelve times, and that repetition is the deeper product. Budgeting became possible; the bank-holiday flight cost what the February one did; and nobody stood on a doorstep at dawn watching a multiplier decide their morning. The 31% is the headline, but the flat line underneath it is the story: an airport year with the pricing risk simply removed from every entry.
Questions readers ask
Where does the 31% figure come from?
Does the app ever beat fixed on airport runs?
Would my gap be bigger or smaller?
Prefer certainty over roulette?
Want your own version of the flat-line column? One airport quote, fixed in writing, and your next dawn departure exits the surge experiment entirely.