Temperature Impact
Mild temperatures (65–75°F) show highest demand. Below 45°F or above 90°F demand drops significantly.
Precipitation Effect
Clear skies correlate with peak demand. Rain and snow significantly reduce trip initiation.
Wind Speed Correlation
High winds reduce comfort and ride stability, causing modest demand reduction.
Seasonal Patterns
Summer months (Jun–Aug) show consistent peak demand. Winter (Dec–Feb) shows 40% lower baseline.
Weather-Demand Correlation Matrix
| Weather Signal | Demand Impact | Correlation Strength | Effect Direction |
|---|---|---|---|
| Temperature (65–75°F) | +18% peak demand | Strong | Positive |
| Clear skies (dry) | +25% baseline | Strong | Positive |
| Rain (any amount) | -35% peak reduction | Strong | Negative |
| Snow/ice | -50% peak reduction | Strong | Negative |
| Wind speed (>15 mph) | -12% peak reduction | Moderate | Negative |
| Humidity (>80%) | -8% baseline | Weak | Negative |
Peak Forecast Conditions
Weekday morning (7–9 AM) with clear skies, 70°F, light winds. These conditions reliably produce peak demand in all zones. Plan fleet positioning for +25% surge capacity.
Weather-Event Interaction
Major events (sports, festivals) can overcome negative weather effects. Event demand +60% overrides -35% rain penalty, net +25% observed lift. Monitor event calendar alongside weather forecasts.
Rebalancing Timing
Post-rain demand surge (2–3 hours after precipitation ends) creates a "revenge trip" effect as riders resume activity. Anticipate +22% demand spike immediately following rain clearance.
Seasonal Staffing
Summer demand 2.1x winter baseline. Allocate maintenance and repair cycles to off-season (Nov–Feb). Peak season (Jun–Aug) requires full operational capacity and enhanced rebalancing.