Kerbside parking through a day: how full the City of Melbourne's kerb was, hour by hour, and how long cars stayed, 2019.
Copyright 2026 Craig Muldoon. Made with Plotlay (https://www.getplotlay.com).

CODE
  The notebook and the Power BI project are licensed under the MIT licence (LICENSE).

DATA WE MADE
  The kerb corridor shapes in data/geometry/ (with their formula columns) and the summaries in data/kerb/ are licensed
  under Creative Commons Attribution 4.0 International (LICENSE-DATA). Please credit: "Kerb summaries: Plotlay
  (getplotlay.com), from City of Melbourne open data". The credits of the sources below also apply.

UPSTREAM SOURCES

  City of Melbourne Open Data, data.melbourne.vic.gov.au. Licensed under Creative Commons Attribution 4.0
  International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/
    - On-street Car Parking Sensor Data - 2019 (42.7 million arrival and departure events)
      https://data.melbourne.vic.gov.au/explore/dataset/on-street-car-parking-sensor-data-2019/
    - Road corridors
      https://data.melbourne.vic.gov.au/explore/dataset/road-corridors/
    Changes: each sensor's state read at half past every hour of 2019 and summarised by kerb segment (a street
    between two cross streets) and hour of the day, weekdays and weekends apart; car-present events of 2 minutes or
    more counted as stays, under 24 hours; kerb segments matched by name to the council's road corridor outlines.

  Base map in the Plotlay project and the app screenshots
    © Commonwealth of Australia (Geoscience Australia), licensed under CC BY 4.0.

NOT INCLUDED
  No event-level records are republished, only summaries per corridor. Nothing is derived from OpenStreetMap, and no
  imagery was traced. Nothing here implies endorsement by the City of Melbourne.

THIRD-PARTY SOFTWARE
  The notebook uses pandas, GeoPandas and Matplotlib (installed from requirements.txt, each under its own licence).
