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Revenue & compliance

See parking performance in context.

Revenue, payments and enforcement mean more next to occupancy. Citylytics reads your payment and enforcement data against parking demand, zone by zone and hour by hour.

Revenue and compliance analysis uses payment, enforcement or operational data that you provide. Citylytics does not have automatic access to your payment or enforcement systems.

Centre zone

Demand and occupancy

Occupancy
96 %

Revenue and payments

Paid share
38 %

Compliance and enforcement

Violations
High

Market Square: full, under-paid and heavily ticketed at the same hour. One street, three layers.

Three layers

Demand, revenue and compliance on the same streets.

Each dataset is placed on the same street segments and the same hours. That is what makes them comparable.

  • Demand and occupancy

    How full the streets and zones are. From Citylytics.

  • Revenue and payments

    Paid sessions, permits and revenue. From your payment data.

  • Compliance and enforcement

    Violations, tickets and controls. From your enforcement data.

Revenue

Where revenue comes from.

  • Revenue by zone

    Compare zones and see where performance is strongest and where it lags.

  • Revenue against demand

    Put revenue next to occupancy to find full streets with a low paid share.

  • Tariff and category

    How revenue splits between short-term parking, permits and parking types.

  • Underperforming zones

    Zones where revenue does not match the demand around them.

Compliance

Where and when violations happen.

  • Violations by type

    Which rule breaches are most common and where they repeat.

  • Hotspots

    Streets and zones where violations concentrate, on the map.

  • Compliance patterns

    How compliance varies by hour and weekday, and where controls have an effect.

  • Time and place comparison

    Compare zones and periods to decide where enforcement is needed most.

Questions

Questions Citylytics answers.

  1. 01

    Where does revenue not follow parking demand?

    Full streets with a low paid share point to pricing, signage or compliance issues. Find them zone by zone.

  2. 02

    Which zones perform differently from similar areas?

    Compare zones with similar demand and see which ones fall behind on revenue or compliance.

  3. 03

    Where and when are violations concentrated?

    See hotspots by hour and weekday, and whether they move after enforcement.

  4. 04

    How does occupancy compare with payment activity?

    Read the two curves for the same zone and hour and see where they separate.

Answers about revenue and compliance depend on the payment and enforcement data you make available. Occupancy and demand come from Citylytics.

See your parking performance in context.

Bring a zone where the numbers do not add up. We show what the three layers say about it.

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