Length of Stay
Parking duration distribution, trends, facility comparison and overstay impact on capacity.
Length of Stay DistributionDEMO
Sessions by parking duration · 7-day forecast
Duration TrendsDEMO
Average stay · 28 days history + forecast
Facility ComparisonDEMO
Select a facility to drill down · occupancy impact = arrivals/hour × average stay ÷ capacity
| Facility | Avg stay | Median | Pre-book avg | Drive-up avg | Expected occupancy impact | Overstays |
|---|---|---|---|---|---|---|
Terminal Parking A Short stay · Drive-up | 5.5 h | 3.7 h | 6.1 h | 5.3 h | 69.5% 974 avg occupied (not current) | 327 (1.1%) |
Terminal Parking B Short stay · Mixed | 5.0 h | 3.4 h | 5.5 h | 4.8 h | 66.7% 801 avg occupied (not current) | 484 (1.8%) |
Long Stay Parking Long stay · Pre-book | 26.0 h | 19.6 h | 28.6 h | 20.5 h | 82.2% 1,315 avg occupied (not current) | 462 (5.4%) |
Premium Parking Premium · Mixed | 7.0 h | 5.0 h | 7.7 h | 6.4 h | 78.7% 236 avg occupied (not current) | 102 (1.8%) |
Overstay AnalysisDEMO
| Facility | Overstays | Avg deviation | Capacity impact |
|---|---|---|---|
| Terminal Parking A | 327 | +1.5 h | 2.9 spaces · 0.2% |
| Terminal Parking B | 484 | +1.4 h | 4.0 spaces · 0.3% |
| Long Stay Parking | 462 | +7.2 h | 19.7 spaces · 1.2% |
| Premium Parking | 102 | +1.9 h | 1.2 spaces · 0.4% |
Overstay = vehicle exiting later than its booked duration (pre-book only; synthetic rates). Drive-up sessions have no booked or configured permitted duration, so long stays are not counted as overstays. Capacity impact = overstays × avg deviation ÷ 24h per day. Assumptions, not RAC policy.
Forecast InsightsDEMO
Duration patterns
Distribution is right-skewed: mean 7.9 h vs median 4.3 h. Long Stay Parking has the longest average stay (26.0 h). Pre-booked sessions run longer than drive-up in every facility.
Seasonal influences
Synthetic event (22–24 Oct) and school-break (5–8 Nov) windows raise session volumes; the DEMO model holds mean duration constant, so the forecast interval widens rather than shifting the average.
Demand & occupancy relationship
Average occupied spaces ≈ arrivals/hour × average stay = 3,325 of 4,500 (73.9%). Long stays tie up capacity: 6.2% of sessions drive most occupied space-hours.
Overstay capacity impact
Overstays add ~4,662 vehicle-hours over the period ≈ 27.7 spaces occupied on average.