Data Dictionary

ID
Car Park Number
Type
text
Description

Unique identifier for each parking facility.

ID
Car Park Location
Type
text
Description

Address of the car park.

ID
Total Available Spaces
Type
text
Description

Count of spaces available for parking.

ID
Average Daily Peak Occupancy %
Type
text
Description

Average daily peak occupancy is the primary utilization metric employed by TPA. It is derived from paid parking transactions and calculated by taking the highest number of transactions recorded each day, dividing by location capacity to get a daily peak percentage, then averaging these percentages over the total number of days in the reported period (e.g., 90 days for a quarterly report).

ID
Year
Type
text
Description

Year of this record

ID
Quarter
Type
text
Description

Quarter of this record

Additional Information

Field Value
Data last updated 2025 अक्टोबर 9
Metadata last updated 2026 अप्रिल 23
Created 2025 अक्टोबर 9
Format CSV
License License not specified
Datastore activeTrue
Datastore cache{'CSV': '23a0c882-26b0-428e-a6b7-3a3a259c796b', 'XML': '9851d179-73ee-4130-a4f9-c2e20d9d43ef', 'JSON': 'a15e7121-974b-4104-aba8-35f96cbd3a49'}
Datastore cache last update1 हप्ता पहिले
Extract jobAirflow: Integration Pipeline parking-occupancy
Has viewsTrue
Id2d1bf001-eebf-4f02-a7d3-a51f8acd884e
Is previewTrue
Mimetypetext/csv
Package id6126cc9a-3c15-4cf8-baa5-c8a17d3ecae2
Position0
Record count779
Stateactive
Url typedatastore
Extract Job Airflow: Integration Pipeline parking-occupancy
Is Datastore Cache File?
Datastore Cache
  1. CSV
  2. XML
  3. JSON
Datastore Cache Last Updated
Datastore resource's ID