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Ward 21 · Ottawa · Councillor: David Brown

Rideau-Jock

Rideau-Jock: 60.3% of predictions within five minutes.

Partial data · 3 days partly captured
Within five minutes
60.3%
Stops in the ward
160
Routes serving it
8
Cancelled trips
Not available yet
Not counted per ward yet

Where it is slowest

  • 80% and up 1
  • 60 to 80% 1
  • Under 60% 0
  • Too little data 6

Routes serving the ward, by their share of predictions within five minutes. Each route result covers the whole route.

Routes in this ward

Routes in this ward, least reliable first
RouteWithin 5 minCancelledCrowding
11072.1%Not publishedNot published
16883.1%Not publishedNot published

Cancellations and crowding are not published per route yet. 6 routes with too little data or a different service purpose are left out.

All routes and their sources

One-page brief

A printable summary of this ward for council and community meetings, with the same numbers, the method in plain words and dated sources.

What can be verified in Rideau-Jock?

Arrival predictions, the imported timetable and train notices. Each is shown with its own source.

Provider prediction agreement

60.3%

of eligible predictions within five minutes of schedule

How this compares
Rank 22 of 22 · median 78.4%

Service, per the imported timetable

Scheduled trips at ward stops
Not available yet
Routes
8
Train lines
0

Current service inside this boundary

The live buses inside this boundary are on the Map tab.

Prediction measure, timetable inventory and methods

Service delivery · evidence state

Oct 27, 2026 – Nov 2, 2026

Cancellations at stops in this ward

Not publishable

No zero or missed trip is inferred when exact stop calls cannot be published.

Predictions at stops inside the ward

60.3% within five minutes of the timetable across 4,768 eligible final provider predictions and 20 weekdays. These are not verified physical arrivals.

Predictions do not prove physical arrival.

Routes to inspect

Oct 27, 2026 – Nov 2, 2026

If available, these are route-wide vehicle-position matches for routes serving the ward. They do not locate a missed trip inside this ward or prove a cancellation. Each comparison uses scheduled trips for that same route and window.

Scheduled calls, sources and limits

8 routes · 160 stops. Timetable inventory, not trips delivered.

Cancellations at stops in this ward

Local count cannot be published

Exact stop-call evidence could not be read for Oct 27, 2026 – Nov 2, 2026. No zero is assumed.

Dates, source versions and limits

Method: retained-pre-service-exact-trip-stop-call-v1. Cancellation-feed completeness and position coverage are unverified.

The retained timetables were fetched, imported and first activated before the service day. The archive does not prove they remained the active timetables throughout that period. Comparisons between places remain unavailable.

    Verdict

    What would fix transit here

    Worked out from the routes that serve this ward. Each item names the route, when it happens, and what would change it.

    2 of 2 show repeated provider predictions later than the timetable, consistent with a possible scheduled running-time shortfall. A scheduler should test that scenario against operations; labour, fleet, recovery and transfer impacts are not established here.

    Worst here: route 110, predictions later than timetable 15:00 to 18:00, 3.7 min late.

    2 of 2 routes here had something measurable to report.

    Arrivals within five minutes, by hour of day, across the 2 routes graded here, last 14 days
    1. 00:00: 88.5% of final predictions within five minutes of the timetable, 871 predictions, typically 0.8 min late
    2. 01:00: not enough data
    3. 02:00: not enough data
    4. 03:00: not enough data
    5. 04:00: 79.5% of final predictions within five minutes of the timetable, 493 predictions, typically 2.7 min late
    6. 05:00: 76.6% of final predictions within five minutes of the timetable, 5,086 predictions, typically 1.2 min late
    7. 06:00: 89.6% of final predictions within five minutes of the timetable, 6,721 predictions, typically 0.3 min late
    8. 07:00: 84.6% of final predictions within five minutes of the timetable, 7,380 predictions, typically 1.3 min late
    9. 08:00: 76.3% of final predictions within five minutes of the timetable, 6,759 predictions, typically 2 min late
    10. 09:00: 80.9% of final predictions within five minutes of the timetable, 7,376 predictions, typically 1.5 min late
    11. 10:00: 82.5% of final predictions within five minutes of the timetable, 7,263 predictions, typically 1 min late
    12. 11:00: 78.7% of final predictions within five minutes of the timetable, 7,032 predictions, typically 1.6 min late
    13. 12:00: 79.4% of final predictions within five minutes of the timetable, 7,117 predictions, typically 1.5 min late
    14. 13:00: 79% of final predictions within five minutes of the timetable, 7,093 predictions, typically 2 min late
    15. 14:00: 82.4% of final predictions within five minutes of the timetable, 6,799 predictions, typically 1 min late
    16. 15:00: 70.6% of final predictions within five minutes of the timetable, 6,151 predictions, typically 2.7 min late
    17. 16:00: 62.3% of final predictions within five minutes of the timetable, 6,883 predictions, typically 3.3 min late
    18. 17:00: 56.5% of final predictions within five minutes of the timetable, 7,858 predictions, typically 3.7 min late
    19. 18:00: 62.7% of final predictions within five minutes of the timetable, 8,280 predictions, typically 2.8 min late
    20. 19:00: 80.5% of final predictions within five minutes of the timetable, 7,626 predictions, typically 1.5 min late
    21. 20:00: 80.3% of final predictions within five minutes of the timetable, 6,715 predictions, typically 1.4 min late
    22. 21:00: 82.4% of final predictions within five minutes of the timetable, 3,745 predictions, typically 0.9 min late
    23. 22:00: 87.9% of final predictions within five minutes of the timetable, 1,928 predictions, typically 0.5 min late
    24. 23:00: 94.1% of final predictions within five minutes of the timetable, 1,461 predictions, typically 0.7 min late
    • 90% or more of predictions within five minutes
    • 80 to 90% of predictions within five minutes
    • under 80% of predictions within five minutes
    • not enough data
    Findings
    WhatWhenMeasuredScenario or next investigation
    ProblemPredictions later than timetable1101682 routes15:00 to 18:00 · 17:003.7 min late · 4.3 min lateMore running time
    ProblemWide prediction spread1101 routes17:0020.1 min swingOperations, not the timetable
    ProblemOne hour has a lower prediction match1681 routes17:0056%Operations, not the timetable
    ProblemPredictions earlier than timetable1101 routes21:001.6 min earlyLess running time, or holding points
    CaveatCoverage gap1101682 routesAll measured hours98% · 99%More observation, not a service change

    How RIDEAU-JOCK is doing

    These indicators separate repeated delay from variation in the operator’s arrival predictions. They suggest questions for planners and operations staff; they do not establish the cause or prove when buses arrived. Each figure shows its route-hour sample.

    Measured over 38 route-hours. 0 more were observed too thinly to count, and are excluded rather than assumed good.

    Scheduling

    Repeated late predictions can point to a timetable worth reviewing. Check actual arrival and dispatch records before deciding whether running time needs to change.

    Who can fix it
    A service planner
    What it costs
    Cost unavailable until fleet, labour, recovery and transfer effects are tested.

    Predictions close to the timetable

    86.8%

    Route-hours where the median eligible arrival prediction is less than one minute early and less than three minutes late.

    Route-hours with repeated late predictions

    4of 38

    Route-hours where the median eligible arrival prediction is at least three minutes late. Review running time against actual operating records.

    Route-hours with early predictions

    1of 38

    Route-hours where the median eligible arrival prediction is at least one minute early. This does not establish that buses departed early.

    Typical predicted delay

    3.8min

    The typical median predicted delay in flagged route-hours; not a validated amount to add to the timetable.

    Operations

    Wide variation in arrival predictions calls for an operational review. Traffic, dispatch, boarding and timetable design may contribute; these predictions alone cannot identify the cause or the remedy.

    Who can fix it
    Operations, and often the road itself
    What it costs
    Cost unavailable until the operational cause and remedy are established.

    Prediction gap below twenty minutes

    97.4%

    Route-hours where the 95th-percentile eligible prediction is less than twenty minutes later than the median.

    Route-hours with wide prediction gaps

    1of 38

    Route-hours where the 95th-percentile eligible prediction is at least twenty minutes later than the median. The cause needs investigation.

    Typical prediction gap

    20.1min

    The typical gap between the 95th-percentile eligible prediction and the median in flagged route-hours.

    Service, per the imported timetable

    Scheduled transit, provider prediction agreement with the timetable, and public services in this ward.

    Provider prediction agreement

    60.3% of eligible provider predictions were within five minutes of the timetable. 2,876 of 4,768 settled trip-stop predictions at stops inside this ward matched that range across 20 weekdays with feed evidence, from Oct 1, 2026 to Nov 2, 2026. These are provider predictions, not independently observed arrivals.

    3 partial-capture days not counted.

    Predictions within five minutes
    2,876
    Eligible trip-stop predictions
    4,768
    Observed days
    20 weekdays

    How this compares

    Ranked 22 of 22 measured wards. 18.1 points below the city median of 78.4%.

    Highest: ward 22 at 84.9%. Lowest: ward 21 at 60.3%.

    Only wards whose evidence meets the publication threshold are ranked. Same window and same method for each.

    Which routes need closer review

    2 of the 8 routes serving this ward have enough provider-prediction evidence to compare. Lowest timetable agreement first.

    1. 110Open route
      72.1%Predictions within five minutes

      113,317 eligible predictions across the whole route

    2. 168Open route
      83.1%Predictions within five minutes

      110,462 eligible predictions across the whole route

    6 more routes here are not ranked: school, express, shopper or event service, whose schedule result does not compare the same way.

    Vehicle visibility to investigate

    Vehicle visibility to investigate

    The current summary uses seven days. For every route, you can also open yesterday, the last 7 days, or the last 30 days and inspect the day, scheduled trip, excluded feed gaps, and every observed public vehicle ID. An absence does not prove a vehicle fault or operator decision.

    Vehicle visibility to investigate
    RouteScheduled tripsWith a positionWithout a matched positionCoverageHistory
    30121150.0%
    2995049198.0%
    110346340698.3%
    168476473399.4%
    27935350100.0%
    26335350100.0%
    28335350100.0%
    305220100.0%

    Routes serving the ward

    8 scheduled routes

    Bus routes · 8

    Train lines · 0

    No train line has a stop in this ward in the imported schedule.

    Map & current service

    Current service inside this boundary

    Scheduled lines, stops, and observed buses share one map. Select a route or vehicle for details.

    Evidence & sources

    Imported municipal polygon · 153 boundary vertices · City of Ottawa ward boundaries · imported Aug 4, 2026

    ━ 8 bus routes● 160 stops
    Loading live feed

    Public amenity record for this ward

    Public washrooms and drinking water

    Choose a category to check which location details are available.
    Public washrooms (City data) 12

    The public ward snapshot publishes the count but not the individual locations for this ward. No locations are being invented.

    Drinking water (City data) 3

    The public ward snapshot publishes the count but not the individual locations for this ward. No locations are being invented.

    Rate or report an issue

    Rider evidence

    Community reports

    Signals below are moderated community aggregates, not official operator notices or reliability scores.

    You can report without signing in. Anonymous reports count a little less when we calculate public patterns. You can add an account after submitting.

    Report a specific problem

    Emergency: call 9-1-1. Check official OC Transpo or STO notices before travelling.

    Civic evidence brief

    The identity, boundary, contacts, service scope and evidence dates behind this ward report, kept together so the page can be cited without losing its qualifications.

    Municipality
    City of Ottawa, Ontario
    Geographic unit
    Official City of Ottawa municipal ward 21: RIDEAU-JOCK
    Boundary and vintage
    City ward layer · effective not published · imported August 4, 2026
    Official civic contacts
    • David Brown · Councillor · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    • Mark Sutcliffe · Mayor · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    Relevant scheduled service
    8 public route records with a stop inside this boundary · operators: OC Transpo
    Transit evidence vintage
    Timetable import: not published · reliability window: Oct 1, 2026 – Nov 2, 2026

    A ward boundary, route inventory, destination list, population count or employment count supplies civic context. None of those values alone measures passenger demand, household trip effects, transfers or daily attendance.

    Ottawa wards are municipal wards. They are not Gatineau electoral districts, and results from the two boundary systems are not interchangeable.

    Evidence behind this pageOpen the definition, method, sources, dates, coverage, and known limits.

    What is being shown

    A ward-level inventory of scheduled transit, public washrooms, drinking-water locations, and eligible final OC Transpo provider predictions at stops inside the ward.

    How it was produced

    Current imported records are assigned by point-in-polygon to the sourced ward boundary. Reliability uses one eligible final provider prediction per trip, stop, and service date in the latest 28 completed service days. Within five minutes is measured against the timetable, not a physical arrival. Publication requires 20 weekdays with prediction evidence and 500 eligible predictions.

    Evidence dates

    Imported
    Computed or assembled
    Sample
    4,768 eligible settled provider predictions across 20 weekdays with prediction evidence support the reliability result.
    Method or data version
    ward-counts-v1 + ward-stop-settled-arrivals-purpose-aware-v3
    Source checksum
    ward-reliability:36a36f055d00e8fcc700cd44ac3dcd7c712e50e04e043d73a3aac2e62975e9a9

    Sources

    Limits to keep in mind

    • Counts describe the published inventory inside the boundary, not service quality or access from every address.
    • Reliability covers final OC Transpo provider predictions at geographically assigned stops; physical arrivals are not independently measured. Rail and trips without eligible prediction evidence are not represented.
    • An unavailable count remains unavailable. It is not changed to zero.
    Suggest a factual correction
    How we measure this

    For each trip, stop and service date at stops inside the ward, we keep the last eligible OC Transpo prediction and compare it with the timetable. It counts as within five minutes when the two are no more than five minutes apart. This is not a physical arrival.

    The window is the latest 28 completed service days. A result is published only with 20 weekdays of prediction evidence and 500 eligible predictions. Route results cover each whole route, not only the part inside the ward.

    Read the full method

    Contains information licensed under the Open Government Licence – City of Ottawa.