When school's out, families travel. Our model applies a 1.5x multiplier to travel demand during school holidays, capturing the predictable surge that transforms quiet destinations into packed hotspots.
For each of the 127 source regions, we track school holiday schedules week by week. When a region is on school break, all travel patterns originating from that region receive a 1.5x multiplier. This means a destination popular with German families will see its score spike during Bavaria's summer holidays, while a destination popular with Australian families spikes during their December–January break.
1.0x
Normal week
1.5x
School holiday week
Key insight
The 1.5x multiplier is applied per-region, not globally. So when German schools are on break but French schools aren't, only the German travel contribution gets boosted. This creates realistic, staggered demand waves across Europe rather than a single monolithic spike.
School holidays don't happen everywhere at once. Even within a single country, regions stagger their breaks. For example, German states have different summer holiday dates spread across 6 weeks. This means the holiday boost effect creates a rolling wave of demand rather than a sudden spike — just like in reality.
Congestion relative to capacity
Month-by-month peak season data
Each with tuned capacity
52 weeks of crowdedness data
Global school holiday coverage
Sports, festivals, and more
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