{
 "schemaVersion": "1.0.0",
 "constitutionVersion": "1.0.0",
 "createdAt": "2026-08-12T00:00:00Z",
 "description": "Append-only Evidence Passport records. Old revisions are immutable; corrections create a new revision and preserve the previous permalink.",
 "entity": {
  "type": "project",
  "id": "melbourne-parking-sensors",
  "title": "In-Ground On-Street Parking Sensor Network",
  "canonicalUrl": "https://1001smartcities.org/projects/melbourne-parking-sensors/"
 },
 "currentRevisionId": "2026-11-04-evidence-baseline",
 "revisions": [
  {
   "id": "2026-11-04-evidence-baseline",
   "createdAt": "2026-11-04T05:56:35Z",
   "effectiveAt": "2026-11-03",
   "changeType": "baseline",
   "summary": "Created the first structured Evidence Passport with 10 claims and 6 source dossiers.",
   "preparedBy": {
    "type": "automation",
    "label": "AI-assisted evidence preparation",
    "humanApproved": false
   },
   "review": {
    "status": "unreviewed",
    "by": null,
    "date": null,
    "note": "Awaiting operator and domain-expert review; publication of this revision implies neither."
   },
   "changes": [
    {
     "operation": "add",
     "path": "/evidencePassport",
     "summary": "Added claim-level evidence mapping and source dossiers."
    },
    {
     "operation": "add",
     "path": "/revisionHistory",
     "summary": "Established a permanent, hash-addressed baseline revision."
    }
   ],
   "snapshotHash": "sha256:d6a603b764375c41d8f0817c49cb393271bbee03f0e5fc854967bb1080176b27",
   "snapshot": {
    "asOf": "2026-11-03",
    "projectFingerprint": "sha256:cdd8af0c498793f9234226c506a07e34be42f636f3bdf2e59d4dd48260e5880c",
    "assurance": {
     "status": "unreviewed",
     "scope": "evidence-passport-revision",
     "statement": "AI-assisted structural preparation. This revision has not been reviewed by a human or subject-matter expert.",
     "machineChecks": [
      "schema",
      "publication-diff-contract",
      "material-project-fingerprint",
      "claim-text-drift",
      "source-reference-resolution",
      "complete-source-dossier",
      "snapshot-hash"
     ]
    },
    "projectState": {
     "status": "live",
     "outcome": "ongoing",
     "evidenceGrade": "official",
     "timeline": {
      "started": 2011,
      "ended": null
     }
    },
    "governance": {
     "operator": "City of Melbourne",
     "actorTypes": [
      "city-government"
     ],
     "fundingModel": "public",
     "fundingDescription": null,
     "cost": null,
     "ownership": null,
     "decisionRights": null,
     "exitConditions": null
    },
    "claims": [
     {
      "id": "clm-89b054dcfa1d539f",
      "field": "snippet",
      "text": "The City of Melbourne began burying in-ground sensors under CBD, Southbank and inner-city parking bays in 2011",
      "statementKind": "quantitative",
      "textMode": "verbatim-from-project-record",
      "mappingStatus": "mapped",
      "sourceRefs": [
       "src-b97e8dfa67f19ad1",
       "src-b24470e225b17c4f"
      ],
      "supportNote": "The April 2011 report says councillors approved in-ground sensors from 1 July across the CBD, Southbank and West Melbourne; the 2015 article confirms the council has used the sensors since 2011.",
      "caveat": null,
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
     },
     {
      "id": "clm-fca159d9f7369a9c",
      "field": "snippet",
      "text": "had about 5,300 in place by 2015",
      "statementKind": "quantitative",
      "textMode": "verbatim-from-project-record",
      "mappingStatus": "mapped",
      "sourceRefs": [
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      ],
      "supportNote": "In October 2015 a council account put the deployment at 5,300 sensors across the central CBD, Southbank and parts of East and West Melbourne.",
      "caveat": null,
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
     },
     {
      "id": "clm-a8e24cc7567701fa",
      "field": "snippet",
      "text": "publishing real-time bay occupancy as open data",
      "statementKind": "descriptive",
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      "mappingStatus": "mapped",
      "sourceRefs": [
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      ],
      "supportNote": "The city's open data portal publishes a live dataset from its in-ground bay sensors; the state data directory also holds the archived sensor records for 2011, the year the network started.",
      "caveat": null,
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
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     {
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      "field": "snippet",
      "text": "in November 2026 the feed was still live on the city's open data portal",
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      "textMode": "verbatim-from-project-record",
      "mappingStatus": "mapped",
      "sourceRefs": [
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      "supportNote": "The portal's in-ground bay-sensor dataset was still being refreshed in November 2026; the dataset page states no date of its own, so the currency comes from the live records rather than from a quotable sentence.",
      "caveat": null,
      "interpretation": {
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       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
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     {
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      "field": "snippet",
      "text": "third-party apps such as ParkThere build on it",
      "statementKind": "descriptive",
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      "mappingStatus": "mapped",
      "sourceRefs": [
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      ],
      "supportNote": "The ParkThere listing names the City of Melbourne's on-street parking bay sensor dataset as one of its data sources and describes itself as an independent third-party app.",
      "caveat": null,
      "interpretation": {
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       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
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     {
      "id": "clm-972d7c43bcc0115b",
      "field": "impact",
      "text": "the technology was expected to catch an extra 150 cars a day",
      "statementKind": "quantitative",
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      "mappingStatus": "mapped",
      "sourceRefs": [
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      ],
      "supportNote": "The April 2011 report on the council vote states the expectation of 150 additional cars caught per day.",
      "caveat": "The report, which relays a Herald Sun article, does not say who made the forecast.",
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
     },
     {
      "id": "clm-d7ae5b62e52df1a7",
      "field": "impact",
      "text": "a council spokesperson reported better compliance with signed time limits, fewer fines issued and a more regular turnover of central-city bays",
      "statementKind": "descriptive",
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      "mappingStatus": "mapped",
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      "supportNote": "The 2015 article quotes a council spokesperson describing these three effects since the sensors were introduced.",
      "caveat": "These are the council's own statements; no figures or method were given.",
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
     },
     {
      "id": "clm-910ed6a9178311f3",
      "field": "impact",
      "text": "the council's own account, not an independently audited evaluation",
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      "mappingStatus": "mapped",
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      "supportNote": "The only source for the outcome is a quote from a council spokesperson in a trade-press feature.",
      "caveat": null,
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
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     },
     {
      "id": "clm-feb48dd16cd05bfa",
      "field": "lesson",
      "text": "A sensor network approved to catch more overstaying cars",
      "statementKind": "descriptive",
      "textMode": "verbatim-from-project-record",
      "mappingStatus": "mapped",
      "sourceRefs": [
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      "supportNote": "The approval report describes the sensors as designed to alert parking officers when a vehicle overstays.",
      "caveat": null,
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
     },
     {
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      "field": "lesson",
      "text": "more than a decade after the 2011 rollout, the bay data still runs on the city's open data portal and in third-party apps",
      "statementKind": "quantitative",
      "textMode": "verbatim-from-project-record",
      "mappingStatus": "mapped",
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      "supportNote": "The portal still publishes the in-ground sensor feed, and a third-party app lists that dataset as its data source.",
      "caveat": null,
      "interpretation": {
       "added": false,
       "interpolation": false,
       "note": "The passport copies the published claim and its recorded source mapping without adding a conclusion."
      }
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    ],
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     {
      "id": "src-b761e8ab92aad21c",
      "title": "City of Melbourne Open Data Portal — On-street Parking Bay Sensors",
      "url": "https://data.melbourne.vic.gov.au/explore/dataset/on-street-parking-bay-sensors/",
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       "type": "descriptive-source-note",
       "value": "operator dataset, confirms current sensor count and real-time updates",
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     },
     {
      "id": "src-b24470e225b17c4f",
      "title": "IoT Hub — Smart councils sense parking spaces (14 Oct 2015)",
      "url": "https://www.iothub.com.au/news/smart-councils-sense-parking-spaces-410478",
      "publisher": {
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       "retrievedAt": null,
       "status": "publication-and-record-dates-recorded"
      },
      "locator": {
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       "value": "2011-era trade press, sensor count and council self-reported outcomes",
       "exact": false
      },
      "preservation": {
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       "status": "not-captured"
      }
     },
     {
      "id": "src-c7ce5a17201946f7",
      "title": "Victorian Government Data Directory — On-street Car Parking Sensor Data 2011",
      "url": "https://discover.data.vic.gov.au/dataset/on-street-car-parking-sensor-data-2011",
      "publisher": {
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      "temporal": {
       "publishedAt": "2023-03-07",
       "updatedAt": "2024-06-13",
       "sourceCheckedAt": null,
       "recordLastVerifiedAt": "2026-11-03",
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       "retrievedAt": null,
       "status": "publication-and-record-dates-recorded"
      },
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       "type": "descriptive-source-note",
       "value": "confirms 2011 launch year via earliest published dataset",
       "exact": false
      },
      "preservation": {
       "archiveUrl": null,
       "archivedAt": null,
       "contentHash": null,
       "status": "not-captured"
      }
     },
     {
      "id": "src-f81e3fbb9adad428",
      "title": "Springer/Transportation — Melbourne's parking dynamics and traffic flow dataset paper",
      "url": "https://link.springer.com/article/10.1007/s11116-025-10702-w",
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       "classification": "not-classified"
      },
      "sourceType": "web-page",
      "language": "und",
      "role": "background",
      "claimRefs": [],
      "temporal": {
       "publishedAt": "2025-11-28",
       "updatedAt": null,
       "sourceCheckedAt": null,
       "recordLastVerifiedAt": "2026-11-03",
       "dossierCreatedAt": "2026-11-04",
       "retrievedAt": null,
       "status": "publication-and-record-dates-recorded"
      },
      "locator": {
       "type": "descriptive-source-note",
       "value": "independent peer-reviewed use of the sensor dataset, confirms scale",
       "exact": false
      },
      "preservation": {
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       "contentHash": null,
       "status": "not-captured"
      }
     },
     {
      "id": "src-fc23a60dcce97ec4",
      "title": "ParkThere app listing (Google Play)",
      "url": "https://play.google.com/store/apps/details?id=com.dalessidigital.parkthere",
      "publisher": {
       "name": null,
       "domain": "play.google.com",
       "classification": "not-classified"
      },
      "sourceType": "web-page",
      "language": "und",
      "role": "claim-evidence",
      "claimRefs": [
       "clm-cd2b769d4f618d3c",
       "clm-0b31100801368fe5"
      ],
      "temporal": {
       "publishedAt": null,
       "updatedAt": null,
       "sourceCheckedAt": null,
       "recordLastVerifiedAt": "2026-11-03",
       "dossierCreatedAt": "2026-11-04",
       "retrievedAt": null,
       "status": "record-date-only"
      },
      "locator": {
       "type": "descriptive-source-note",
       "value": "current third-party app consuming live sensor feed, evidence network is still active",
       "exact": false
      },
      "preservation": {
       "archiveUrl": null,
       "archivedAt": null,
       "contentHash": null,
       "status": "not-captured"
      }
     },
     {
      "id": "src-b97e8dfa67f19ad1",
      "title": "Parking.net — City of Melbourne to install new parking technology to catch drivers (20 April 2011)",
      "url": "https://www.parking.net/parking-news/city-of-melbourne-to-install-new-parking-technology-to-catch-drivers",
      "publisher": {
       "name": null,
       "domain": "parking.net",
       "classification": "not-classified"
      },
      "sourceType": "web-page",
      "language": "und",
      "role": "claim-evidence",
      "claimRefs": [
       "clm-89b054dcfa1d539f",
       "clm-972d7c43bcc0115b",
       "clm-feb48dd16cd05bfa"
      ],
      "temporal": {
       "publishedAt": "2011-04-20",
       "updatedAt": null,
       "sourceCheckedAt": null,
       "recordLastVerifiedAt": "2026-11-03",
       "dossierCreatedAt": "2026-11-04",
       "retrievedAt": null,
       "status": "publication-and-record-dates-recorded"
      },
      "locator": {
       "type": "descriptive-source-note",
       "value": "Report (relaying the Herald Sun) on the council vote approving in-ground sensors and number-plate recognition from 1 July 2011, at a cost of $5.48 million; the technology was expected to catch an extra 150 cars a day.",
       "exact": false
      },
      "preservation": {
       "archiveUrl": null,
       "archivedAt": null,
       "contentHash": null,
       "status": "not-captured"
      }
     }
    ],
    "coverage": {
     "claimsTotal": 10,
     "claimsMapped": 10,
     "sourcesTotal": 6,
     "sourcesUsedByClaims": 5,
     "sourcesWithPublicationDate": 4,
     "sourcesWithArchive": 0,
     "sourcesWithExactLocator": 0,
     "sourcesWithContentHash": 0
    },
    "limits": [
     "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."
    ]
   }
  }
 ]
}