Permanent project revision

City of Melbourne Pedestrian Counting System

Revision 2026-08-20-source-dates · effective 2026-08-01

Current revision. This is the snapshot used by the live entity page.

unreviewed

Created the first structured Evidence Passport with 1 claim and 6 source dossiers.

sha256:747177d858c7287d1d70db1cc00cee73157e67202d6ba37539a4b44670d84245

All revisions → Current entity page →

Change set

add /evidencePassport — Added claim-level evidence mapping and source dossiers.
add /revisionHistory — Established a permanent, hash-addressed baseline revision.

1: of 1 claims mapped
6: source dossiers
4: publication dates recorded
0: archives linked
0: exact locators
0: content captures hashed

Claims, one by one

The text below is copied verbatim from the published record. Each claim names the source dossiers that carry it; caveats stay attached to the claim they qualify.

Claim 1 clm-24e325d5c6ca3e96 quantitative

99 sensor locations recorded 312.9 million pedestrian movements across Melbourne in 2025; comparing only sensors present in both years, growth was +1.2% versus 2024

Published field: impact · verbatim
Mapping: mapped · no interpretation or interpolation added by this passport
What the mapping says: The June 2026 analysis works from City of Melbourne open data and compares only sensors present in both years.
Caveat: The raw year-over-year increase was 7.7%; the +1.2% like-for-like figure corrects for the expanding sensor network.

Sources carrying this claim

Rock Posters analysis of City of Melbourne pedestrian data (June 2026)

Source dossiers and revision state

This layer records what is known about each source, what is still missing, and the exact snapshot this page is rendering. A missing date, archive or hash stays visible as missing.

unreviewed Revision 2026-08-20-source-dates effective 2026-08-01 · created 2026-08-20

Awaiting operator and domain-expert review; publication of this revision implies neither.

sha256:747177d858c7287d1d70db1cc00cee73157e67202d6ba37539a4b44670d84245

Revision history → Permanent version link → Machine-readable record → Evidence Constitution →

1: of 1 claims mapped
6: source dossiers
4: publication dates recorded
0: archives linked
0: exact locators
0: content captures hashed

Governance facts carried by the record

Operator: City of Melbourne
Actor types: city-government
Funding model: public
Funding description: Not recorded
Cost: Not recorded
Ownership: Not recorded
Decision rights: Not recorded
Exit conditions: Not recorded

6 source dossiers

City of Melbourne — Pedestrian Counting System melbourne.vic.gov.au · background

Open original source ↗

Stable source ID: src-b9334e750d65528e
Publisher: Name not classified · melbourne.vic.gov.au
Type / language: web-page · language not classified
Published: Not recorded
Updated: Not recorded
Source last checked: No source-level check date
Record last verified: 2026-08-01
Dossier created: 2026-08-20
Retrieved copy: No local capture recorded
Archive: No archived copy linked
Content hash: No captured content hash
Locator: Open the recorded source note
Operator programme page: history, sensor technology, data uses
Descriptive only — not page/paragraph exact
Claims linked: Background source; no baseline claim points here

City of Melbourne Open Data Portal — Sensor Locations dataset data.melbourne.vic.gov.au · background

Open original source ↗

Stable source ID: src-9ae2627db1235d94
Publisher: Name not classified · data.melbourne.vic.gov.au
Type / language: web-page · language not classified
Published: Not recorded
Updated: 2022-11-13
Source last checked: No source-level check date
Record last verified: 2026-08-01
Dossier created: 2026-08-20
Retrieved copy: No local capture recorded
Archive: No archived copy linked
Content hash: No captured content hash
Locator: Open the recorded source note
Since-2009 hourly counts, sensor status/location metadata
Descriptive only — not page/paragraph exact
Claims linked: Background source; no baseline claim points here

RMIT University — "Has CBD pedestrian activity in Melbourne recovered since Covid-19?" rmit.edu.au · background

Open original source ↗

Stable source ID: src-3e431508e79ad903
Publisher: Name not classified · rmit.edu.au
Type / language: web-page · language not classified
Published: 2023-06-21
Updated: Not recorded
Source last checked: No source-level check date
Record last verified: 2026-08-01
Dossier created: 2026-08-20
Retrieved copy: No local capture recorded
Archive: No archived copy linked
Content hash: No captured content hash
Locator: Open the recorded source note
Academic use: 2019 vs 2022 weekday/weekend recovery analysis
Descriptive only — not page/paragraph exact
Claims linked: Background source; no baseline claim points here

Pamuditha & Levinson (2025), 'Numbers in Safety' for Pedestrians in Melbourne, Findings doi.org · background

Open original source ↗

Stable source ID: src-643a87308d173515
Publisher: Name not classified · doi.org
Type / language: web-page · language not classified
Published: 2025-07-03
Updated: Not recorded
Source last checked: No source-level check date
Record last verified: 2026-08-01
Dossier created: 2026-08-20
Retrieved copy: No local capture recorded
Archive: No archived copy linked
Content hash: No captured content hash
Locator: Open the recorded source note
Peer-reviewed use: pedestrian-safety correlation, 21 CBD intersections 2014-2019
Descriptive only — not page/paragraph exact
Claims linked: Background source; no baseline claim points here

Navon (2023), Measuring Local Economic Activity Using Pedestrian Count Data, Economic Record onlinelibrary.wiley.com · background

Open original source ↗

Stable source ID: src-6ad740e1b3965a60
Publisher: Name not classified · onlinelibrary.wiley.com
Type / language: web-page · language not classified
Published: 2023-07-27
Updated: Not recorded
Source last checked: No source-level check date
Record last verified: 2026-08-01
Dossier created: 2026-08-20
Retrieved copy: No local capture recorded
Archive: No archived copy linked
Content hash: No captured content hash
Locator: Open the recorded source note
Peer-reviewed economics use of the dataset
Descriptive only — not page/paragraph exact
Claims linked: Background source; no baseline claim points here

Rock Posters analysis of City of Melbourne pedestrian data (June 2026) newshub.medianet.com.au · 1 linked claim

Open original source ↗

Stable source ID: src-ab81311ec9fa6273
Publisher: Name not classified · newshub.medianet.com.au
Type / language: web-page · language not classified
Published: 2026-06-24
Updated: Not recorded
Source last checked: No source-level check date
Record last verified: 2026-08-01
Dossier created: 2026-08-20
Retrieved copy: No local capture recorded
Archive: No archived copy linked
Content hash: No captured content hash
Locator: Open the recorded source note
2025 figures: 99 sensor locations, 312.9m movements, currency check
Descriptive only — not page/paragraph exact
Claims linked: clm-24e325d5c6ca3e96

Known limits of this passport

Publisher names and source languages have not yet been classified; domains are recorded without guessing.
Existing source notes are descriptive locators, not page- or paragraph-exact citations.
A missing archive, publication date or content hash is shown as null rather than inferred.
The project-level evidence grade ranks the strongest source in the entry; it is not a truth score for every claim.