King Khalid International AirportDemand Intelligence
Demand Intelligence / M1

Demand Forecasting

Historical vs. predicted parking demand with uncertainty, by facility and product.

Demonstration forecast. All figures are synthetic DEMO data generated for presentation — not actual KKIA statistics or live AI model output.
Demo run · 13 Oct 2026, 23:00 AST
Forecasted Parking Demand
70,802vehicles
+7.4%vs. prior periodDEMO
Expected Arrivals
70,790entries
+6.9%vs. prior periodDEMO
Expected Departures
70,821exits
+6.1%vs. prior periodDEMO
Forecasted Revenue
SAR1,418,866
+9.2%vs. prior periodDEMO
Forecast Confidence
92.0%±8.0% interval width
−0.4 ppvs. prior periodDEMO

Demand ForecastDEMO

Daily · 14 days history + 7-day forecast

Historical (synthetic)Predicted90% confidence interval
Illustrative forecast · Interval widens with horizon · Not a validated model

Forecast Details by FacilityDEMO

Select a row to inspect

FacilityDemandArrivals / DeparturesBookingDrive-upRevenue (SAR)Uncertainty
Terminal Parking A
Short stay · Drive-up
29,73729,738 / 29,7566,54223,195535,266±7.8%
Terminal Parking B
Short stay · Mixed
26,90526,901 / 26,9078,07218,834430,480±7.8%
Long Stay Parking
Long stay · Pre-book
8,4968,487 / 8,4915,7772,719254,880±7.8%
Premium Parking
Premium · Mixed
5,6645,664 / 5,6672,5493,115198,240±10.8%

AI Forecast InsightsDEMO

Expected demand peak

Highest predicted demand at 19 Oct (≈11,680 vehicles). Evening arrival waves drive the peak.

Seasonal & weekly pattern

Thursday–Friday demand runs 12–18% above midweek in the synthetic profile; a school-break window (05–08 Nov) lifts long-stay demand.

Flight schedule impact

Illustrative schedule assumption: added evening international departures correlate with +9% drive-up arrivals 2–3 hours before departure.

Special events & holidays

A synthetic Riyadh event window (22–24 Oct) adds ~16% demand. Event dates are placeholders pending the RAC events calendar.

Capacity constraints

Terminal Parking A, Terminal Parking B, Long Stay Parking, Premium Parking projected ≥90% peak occupancy — consider overflow guidance and inventory allocation review.

Explanations are illustrative drivers, not outputs of a live model.