City of Melbourne Pedestrian Counting System
This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.
1 sourced claim on this page, none individually verified yet — turn on “Sources in the text” to see each one.
How this atlas is made · What “last verified” means · What “source-checked” means · The full record behind this page
Sensors at 99 locations counted 312.9 million pedestrian movements in 2025. That read as 7.7% growth, but the network had grown too: comparing only sensors present in both years leaves 1.2%.
what does this mean?
The strongest source is an independent non-academic evaluation: an audit office, a government or EU review, or an NGO. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 9 more in Melbourne · 📡 Sensors & IoT guide · 📡 Data & IoT projects
Infrared sensors mounted on poles and awnings have counted pedestrian movements across central Melbourne since 2009, growing to 99 locations by 2025. The city publishes hourly and near-real-time counts as open data; researchers have used it to track COVID-19 CBD recovery, test pedestrian-safety correlations, and nowcast state retail sales.
📊 Impact
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 (City of Melbourne open data, analysed by Rock Posters, June 2026).
🎓 Lesson
Headline year-over-year growth figures from an expanding sensor network can overstate real foot-traffic change — the 2026 analysis found a 7.7% raw increase but only 1.2% on a like-for-like sensor basis.
Sources
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📅 How old is the evidence?
Two clocks, kept apart: when this entry’s sources were published, and what has happened to its record in the atlas. Documented span: since 2009. 4 of 6 sources carry a publication date, from 21 June 2023 to 24 June 2026.
When the sources were published
- RMIT University · researchRMIT University — "Has CBD pedestrian activity in Melbourne recovered since Covid-19?"
- Wiley · researchNavon (2023), Measuring Local Economic Activity Using Pedestrian Count Data, Economic Record
- Findings Press · researchPamuditha & Levinson (2025), 'Numbers in Safety' for Pedestrians in Melbourne, Findings
- Medianet (AAP) · platformRock Posters analysis of City of Melbourne pedestrian data (June 2026)
Show your work What this page rests on and what it can’t tell you · all 1 claims with their sources · the forensic record
Evidence Passport · public beta 1 addressable claim, 6 source dossiers, one permanent baseline. The passport is unreviewed — an AI-assisted structural migration, not a human or expert endorsement. Every revision keeps a permanent copy under revision history.
Inspect the claims, one by one — verbatim text, sources and caveats for all 1
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.
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
Sources carrying this claim
Forensic record — source dossiers, gaps, hashes and the exact revision this page renders
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.
Awaiting operator and domain-expert review; publication of this revision implies neither.
sha256:747177d858c7287d1d70db1cc00cee73157e67202d6ba37539a4b44670d84245
- 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
- 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
- Descriptive only — not page/paragraph exact
Open the recorded source note
Operator programme page: history, sensor technology, data uses
- Claims linked
- Background source; no baseline claim points here
City of Melbourne Open Data Portal — Sensor Locations dataset
- 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
- Descriptive only — not page/paragraph exact
Open the recorded source note
Since-2009 hourly counts, sensor status/location metadata
- Claims linked
- Background source; no baseline claim points here
RMIT University — "Has CBD pedestrian activity in Melbourne recovered since Covid-19?"
- 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
- Descriptive only — not page/paragraph exact
Open the recorded source note
Academic use: 2019 vs 2022 weekday/weekend recovery analysis
- Claims linked
- Background source; no baseline claim points here
Pamuditha & Levinson (2025), 'Numbers in Safety' for Pedestrians in Melbourne, Findings
- 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
- Descriptive only — not page/paragraph exact
Open the recorded source note
Peer-reviewed use: pedestrian-safety correlation, 21 CBD intersections 2014-2019
- Claims linked
- Background source; no baseline claim points here
Navon (2023), Measuring Local Economic Activity Using Pedestrian Count Data, Economic Record
- 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
- Descriptive only — not page/paragraph exact
Open the recorded source note
Peer-reviewed economics use of the dataset
- Claims linked
- Background source; no baseline claim points here
Rock Posters analysis of City of Melbourne pedestrian data (June 2026)
- 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
- Descriptive only — not page/paragraph exact
Open the recorded source note
2025 figures: 99 sensor locations, 312.9m movements, currency check
- Claims linked
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.
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📎 Cite this project
1001 Smart Cities (2026). “City of Melbourne Pedestrian Counting System” — Melbourne, Australia. The Smart City Atlas. https://1001smartcities.org/projects/melbourne-pedestrian-counting-system/ (last verified 2026-08-01). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.