King Khalid International AirportSimulation & Analytics
Simulation & Analytics / M4

Pricing Simulation

Simulate tariff scenarios on shared M1 demand, activated M2 allocations and current M3/M2 published rates, checked against M5 guardrails.

DEMO simulation · Illustrative elasticity, product-share and price-band assumptions (not RAC-confirmed). Simulation never publishes or activates tariffs; proposals follow the M5 approval workflow.
Current Forecasted Revenue
SAR 2,199,175
Baseline at SAR 25, 7 daysDEMO
Simulated Revenue
SAR 2,199,175
At SAR 25DEMO
Expected Revenue Change
0.0%
+SAR 0DEMO
Forecasted Parking Demand
21,340
Vehicles (baseline 21,340), served 21,161DEMO
Expected Occupancy
96%
Facility peak · avg 69%DEMO
Capacity Risk
Critical
194 vehicles over allocation at peakDEMO

Scenario ConfigurationDEMO

Baseline = current published tariff and activated allocation.

Activated allocation (M2): pre-book 308 · drive-up 1,036 · reserved 56 of 1,400 spaces (DEMO default). Demand: shared M1 hourly forecast with M1 length of stay.

Guardrails & CapacityDEMO

M5 pricing guardrails (DEMO thresholds) and allocation limits.

  • Change within ±15% cap0.0%
  • Within configured price floor/ceilingSAR 15–35
  • Increases only when peak occupancy ≥ 75%96% peak
  • Decreases only when peak occupancy < 95%96% peak
  • Decrease must not push demand beyond activated allocation194 vs 194 veh. over at peak

Simulated demand exceeds the activated allocation/physical capacity by 194 vehicles at peak (1,195 vehicle-hours unserved). Served volume is capped — capacity is never exceeded.

  • • Proposed tariff equals the current published tariff.
  • • Open proposal REC-0248 already exists for this facility and product.

Pending approvalOpen approval workflow

Converting creates a shared M5 recommendation (same register, statuses and audit as M2/M3). It never publishes or activates.

Simulation Results — Baseline vs ProposedDEMO

SAR 25 → SAR 25 (+SAR 0.00, 0.0%) · 7 days

MetricBaselineProposedChange
Forecast demand (vehicles)21,34021,340+0 (0.0%)
Expected served demand21,16121,161+0 (0.0%)
Expected revenueSAR 2,199,175SAR 2,199,175+SAR 0 (0.0%)
Forecast peak occupancy96.0%96.0%+0.0 pp
Capacity utilisation (avg)69.0%69.0%+0.0 pp
Price elasticity impact (DEMO)—-0.35+0.0% demand

Why results change

  • • 179 vehicles cannot be served within the activated M2 allocation, so revenue is capped.
  • • Revenue = served vehicles × per-vehicle charge (SAR 103.93 → 103.93).

Revenue ComparisonDEMO

Baseline, working scenario and compared scenarios.

Demand vs PriceDEMO

Elasticity -0.35 (DEMO) · ±30% around current tariff

Occupancy ForecastDEMO

Daily peak vehicles parked, baseline vs scenario (time-overlapping).

Revenue Impact by ScenarioDEMO

Change vs each scenario's own baseline.

Scenario ComparisonDEMO

Select up to three saved scenarios (A, B, C). Best = highest score among guardrail-compliant scenarios.

ScenarioPriceDemandRevenueΔ RevenuePeak occupancyUtilisationRiskGuardrails
Baseline
Drive-up hourly tariff · terminal-a
2521,340SAR 2,199,175—96%69%Critical—
No scenarios selected. Save a scenario or tick “Compare” below.

Saved scenarios (0)

No saved scenarios yet. Saved scenarios persist in this browser (DEMO).

Pricing InsightsDEMO

Transparent rule-based DEMO logic — not a live AI model.

Recommended scenario
Hold current tariff — no guardrail-compliant scenario improves revenue
Expected revenue opportunity
SAR 0
Demand sensitivity
A 1% price change moves segment demand by 0.35% (elasticity -0.35, inelastic — increases tend to raise revenue)
Capacity constraints
Peak 96% of 1,400 spaces; drive-up + unallocated pool 1,036 spaces; 194 vehicles unserved at peak
Potential risks
overflow beyond allocation, critical peak occupancy
Explanation
No eligible scenario: adjust the price within the ±15% cap and price band, or compare saved scenarios.