Private sector
Parking
Occupancy tells you whether the facility is full. Plate data tells you who is there, how long, and whether the pricing is doing what it was designed to do.
Ticketless accessThe plate is the credential, with the exceptions handled by policy.
Occupancy in timeNot a snapshot: the full curve across the day and the week.
OverstayTime limits enforced with the record that supports the notice.
The context
Most parking decisions are made on data nobody actually measured
Rates, time limits and permit allocations are usually set from a manual count taken once. Continuous plate-based measurement replaces that with the real curve, which is often nothing like the assumption.
- Dwell time distribution, not an average.
- Repeat versus one-time users.
- Turnover by zone and by hour.
Facilities
Entry, exit and internal circulation.
On-street
Time limit and permit zone programs.
Permits
Allocation checked against actual use.
Revenue
Leakage identified with the record to prove it.
What changes
From assumption to measurement
Pricing
Set against the demand curve you actually have.
Enforcement
Notices backed by a continuous record.
Planning
Expansion decisions with evidence behind them.
Measure a facility for a month
The curve usually settles the argument on its own.