Smart Parking Zone Utilization Log

This dataset provides granular, real-time logs of parking bay occupancy and turnover across city-managed zones, including sensor-driven status, location details, and dynamic pricing information. Designed for urban planners and municipal IT teams, it enables optimization of parking allocation, congestion reduction, and data-driven pricing strategies using IoT sensor data.

  • last updated 1 Jan 2026
  • by GoMask
The brief that made it

Optimizing parking allocation and zone management

Sample rows

preview · 8 of 80 rows · all 20 columns
log_idstringzone_typestringzone_capacityintegeroccupancy_statusbooleanlocation_postal_codestringzone_idstringzone_namestringbay_idstringsensor_idstringoccupancy_start_timedatetimeoccupancy_end_timedatetimeoccupancy_duration_minutesfloatturnover_countintegertimestampdatetimelocation_street_addressstringlocation_citystringlocation_statestringlocation_countrystringdynamic_pricing_appliedbooleancurrent_parking_feefloat
LOG0010001garage120true62701ZONE101Downtown PlazaBAY101ASENSOR101A2024-06-09T08:23:142024-06-09T10:47:18144.122024-06-09T10:47:18234 Market StSpringfieldILUSAtrue8.25
LOG0010002surface-lot45false45402ZONE201Riverfront LotBAY201DSENSOR201Dblankblankblank02024-06-09T11:15:03890 Riverside DrDaytonOHUSAfalse2.5
LOG0010003on-street30true43215ZONE301West End StreetBAY301BSENSOR301B2024-06-09T09:02:512024-06-09T11:45:22162.532024-06-09T11:45:22501 Elm StColumbusOHUSAfalse1.75
LOG0010004garage80false53703ZONE401Tech Park DeckBAY401CSENSOR401C2024-06-09T07:55:302024-06-09T09:40:10104.712024-06-09T09:40:10100 Innovation DrMadisonWIUSAtrue6
LOG0010005off-street60true53202ZONE501Harbor PointBAY501ESENSOR501E2024-06-09T12:05:20blankblank02024-06-09T12:05:20350 Harbor AveMilwaukeeWIUSAfalse3
LOG0010006on-street28false44115ZONE601Central SquareBAY601FSENSOR601F2024-06-09T10:22:442024-06-09T11:08:0545.422024-06-09T11:08:05123 Main StClevelandOHUSAtrue5.25
LOG0010007garage200true60640ZONE701Uptown GarageBAY701GSENSOR701G2024-06-09T13:15:33blankblank12024-06-09T13:15:33410 Uptown BlvdChicagoILUSAtrue9.5
LOG0010008surface-lot50false50309ZONE801Civic Center LotBAY801HSENSOR801Hblankblankblank02024-06-09T14:03:14800 Civic Center DrDes MoinesIAUSAfalse2.75

What the 80 rows show

from the 80-row sample

Garage (zone type) stands out: mean zone_capacity is 123.0, against 41.0 for the rest.

  • 48%occupancy_status = true
  • 53.5median zone_capacity
  • 19location states
  • 78.9median occupancy_duration_minutes
  • 1median turnover_count
  • 2.7median current_parking_fee
Mean zone_capacity by zone_type80 rows
010020026.4on-str…17 rows58.6off-st…16 rows123.0garage26 rows43.9surfac…17 rows21.0other4 rows
zone_capacity80 rows, in bands of 25
015301028168923130125225zone_capacity →

Median 53.5, from 15 to 210.

location_postal_code80 rows · top 10 of 27 values
  1. 432157
  2. 537037
  3. 627015
  4. 454025
  5. 532024
  6. 441154
  7. 606404
  8. 503094
  9. 462254
  10. 068302
20 columns by typefrom the column list below
  • string 11
  • integer 2
  • float 2
  • datetime 3
  • boolean 2

Columns

20 columns in four groups
blueprint · 20 columns
columntypedescriptionexample
Text 11 columns
log_idstringUnique identifier for each parking utilization log entryuniqueLOG0010001
zone_idstringUnique identifier for the parking zoneZONE101
zone_namestringHuman-readable name of the parking zoneDowntown Plaza
zone_typestringType of parking zone (e.g., on-street, off-street, garage)on-street · off-street · garage · surface-lot · othergarage
bay_idstringUnique identifier for the individual parking bayBAY101A
sensor_idstringUnique identifier for the IoT sensor monitoring the baySENSOR101A
location_street_addressstringStreet address of the parking zoneoptional234 Market St
location_citystringCity where the parking zone is locatedSpringfield
location_statestringState or region of the parking zoneIL
location_postal_codestringPostal code of the parking zoneoptional62701
location_countrystringCountry of the parking zoneUSA
Numbers 4 columns
zone_capacityintegerTotal number of parking bays in the zone1 or more120
occupancy_duration_minutesfloatDuration (in minutes) the bay was occupied during this event0 or more · optional144.1
turnover_countintegerNumber of times the bay changed occupancy status within the reporting period0 or more · optional2
current_parking_feefloatCurrent parking fee (in local currency) applied to this bay at the time of occupancy0 or more · optional8.25
Dates and times 3 columns
occupancy_start_timedatetimeTimestamp when the bay became occupiedoptional2024-06-09T08:23:14
occupancy_end_timedatetimeTimestamp when the bay became vacantoptional2024-06-09T10:47:18
timestampdatetimeTimestamp of when the log entry was recorded2024-06-09T10:47:18
True or false 2 columns
occupancy_statusbooleanCurrent occupancy status of the bay (true = occupied, false = vacant)true
dynamic_pricing_appliedbooleanIndicates if dynamic pricing was active during this occupancy eventoptionaltrue

Use it for

  • occupancy stat…48%38 of 80 rowsmean zone capacity by…26.4on-s…58.6off-…123.0gara…43.9surf…

    A transportation dashboard

    The occupancy_status rate, zone_capacity by zone_type and a breakdown of location_postal_code. Excel, Power BI or Tableau.

  • Why do the 26 garage rows have a mean zone_capacity of 123.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable logs with zone_id, zone_name and zone_type to fill a screen in front of a buyer.

Not quite right?

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This dataset80 rows20 columns
Yours1,000 rows20 columnslocation_street_address: UK only

blueprint · smart-parking-zone-utilization-log

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each record logs a unique parking event with timestamp, zone, and duration.
  • Occupancy status is updated in real-time by IoT sensors.
  • Zone IDs and sensor IDs are validated against municipal asset database.
  • Records include inferred turnover rates per zone.
  • Only zones within active smart parking implementation are included.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
smart-parking-zone-utilization-log

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