Wà:s ne kahiatónhsera

Aioio'ténhsera

Sahró:ri tsi nahò:ten iah tekaié:ri

This page is not about one stop, route, station or vehicle. Open one to have the report name it, or use the full report.

Oh nahò:ten iahà:wen
Full report No account needed

Ward 17 · Ottawa · Councillor: Shawn Menard

Capital

Capital: 74.5% of predictions within five minutes.

Partial data · 2 days partly captured
Within five minutes
74.5%
Stops in the ward
191
Routes serving it
38
Cancelled trips
Not available yet
Not counted per ward yet

Where it is slowest

  • 80% and up 9
  • 60 to 80% 15
  • Under 60% 0
  • Too little data 12

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
OháhaWithin 5 minCancelledAkwé:kon ronnónhstats
763.2%Iah tekahiá:tonteIah tekahiá:tonte
1964.2%Iah tekahiá:tonteIah tekahiá:tonte
1865.8%Iah tekahiá:tonteIah tekahiá:tonte
5667.8%Iah tekahiá:tonteIah tekahiá:tonte
669.4%Iah tekahiá:tonteIah tekahiá:tonte
11071.6%Iah tekahiá:tonteIah tekahiá:tonte
11175.5%Iah tekahiá:tonteIah tekahiá:tonte
975.8%Iah tekahiá:tonteIah tekahiá:tonte

Cancellations and crowding are not published per route yet. 12 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 Capital?

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

Provider prediction agreement

74.5%

of eligible predictions within five minutes of schedule

How this compares
Rank 16 of 22 · median 78.4%

Service, per the imported timetable

Scheduled trips at ward stops
Not available yet
Ohahà:
36
Ne train lines
2

Kà:sere ó:nen kèn:'en

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

Prediction measure, timetable inventory and methods

Service delivery · evidence state

Oct 28, 2026 – Nov 3, 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

74.5% within five minutes of the timetable across 459,292 eligible final provider predictions and 20 weekdays. These are not verified physical arrivals.

Predictions do not prove physical arrival.

Routes to inspect

Oct 28, 2026 – Nov 3, 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

38 routes · 191 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 28, 2026 – Nov 3, 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.

    Ka' nikarihò:ten

    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.

    16 of 24 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 7, predictions later than timetable 12:00 to 21:00, 4 min late.

    Best here: route 98, observed-position lower bound, 100%.

    24 of 24 routes here had something measurable to report.

    Arrivals within five minutes, by hour of day, across the 24 routes graded here, last 14 days
    1. 00:00: 88.7% of final predictions within five minutes of the timetable, 21,052 predictions, typically 0.9 min late
    2. 01:00: 86.6% of final predictions within five minutes of the timetable, 8,654 predictions, typically 1 min late
    3. 02:00: 84.8% of final predictions within five minutes of the timetable, 3,740 predictions, typically 1.1 min late
    4. 03:00: 82.5% of final predictions within five minutes of the timetable, 3,416 predictions, typically 1.1 min late
    5. 04:00: 87.3% of final predictions within five minutes of the timetable, 9,702 predictions, typically 1 min late
    6. 05:00: 89.8% of final predictions within five minutes of the timetable, 27,706 predictions, typically 0.9 min late
    7. 06:00: 86.8% of final predictions within five minutes of the timetable, 58,560 predictions, typically 1.3 min late
    8. 07:00: 82.5% of final predictions within five minutes of the timetable, 75,254 predictions, typically 1.7 min late
    9. 08:00: 75% of final predictions within five minutes of the timetable, 78,102 predictions, typically 2.2 min late
    10. 09:00: 78.9% of final predictions within five minutes of the timetable, 76,927 predictions, typically 1.7 min late
    11. 10:00: 83.3% of final predictions within five minutes of the timetable, 75,083 predictions, typically 1.4 min late
    12. 11:00: 80.3% of final predictions within five minutes of the timetable, 72,987 predictions, typically 1.6 min late
    13. 12:00: 76.3% of final predictions within five minutes of the timetable, 73,417 predictions, typically 2.1 min late
    14. 13:00: 76.3% of final predictions within five minutes of the timetable, 73,417 predictions, typically 2 min late
    15. 14:00: 77.1% of final predictions within five minutes of the timetable, 75,574 predictions, typically 1.8 min late
    16. 15:00: 69.5% of final predictions within five minutes of the timetable, 78,306 predictions, typically 2.7 min late
    17. 16:00: 63.8% of final predictions within five minutes of the timetable, 79,606 predictions, typically 3.2 min late
    18. 17:00: 64.2% of final predictions within five minutes of the timetable, 81,772 predictions, typically 3.1 min late
    19. 18:00: 70.4% of final predictions within five minutes of the timetable, 76,836 predictions, typically 2.5 min late
    20. 19:00: 77.1% of final predictions within five minutes of the timetable, 63,067 predictions, typically 1.9 min late
    21. 20:00: 81% of final predictions within five minutes of the timetable, 56,051 predictions, typically 1.7 min late
    22. 21:00: 81.8% of final predictions within five minutes of the timetable, 49,297 predictions, typically 1.6 min late
    23. 22:00: 84.9% of final predictions within five minutes of the timetable, 42,485 predictions, typically 1.6 min late
    24. 23:00: 86.7% of final predictions within five minutes of the timetable, 33,683 predictions, typically 1.3 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
    WhatÓ:nenTewaterièn:tareScenario or next investigation
    ProblemPredictions later than timetable76181911092564495414239111494516 routes12:00 to 21:00 … 01:004 min late … 7.2 min lateMore running time
    ProblemWide prediction spread1910563 routes17:00 … 02:0021.7 min swing … 37.9 min swingOperations, not the timetable
    ProblemOne hour has a lower prediction match692184411141519112910549455614 routes17:00 … 01:0046% … 33%Operations, not the timetable
    ProblemPredictions earlier than timetable110442 routes21:00 · 01:001.6 min early · 2.7 min earlyLess running time, or holding points
    StrengthObserved-position lower bound98181942925 routesAll measured hours100%Keep what works
    CaveatCoverage gap4539105756561044418811185110489091124919 routesAll measured hours96% … 99%More observation, not a service change

    O-Train evidence

    What we know about train service here

    Open the train observation report

    Trains are not in the public data feed

    The bus punctuality reports compare archived arrival predictions with published schedules. They do not count independently measured physical arrivals. Otranspo has no comparable public train-position dataset for these reports, so those bus figures cannot show where a train is or whether Lines 1, 2 and 4 run on time.

    Publishing train positions, their timestamps, and the measurement method would help build a separate, verifiable record of rail service. The missing dataset does not establish how the trains performed.

    Recent shared train observations

    These are rider sightings approved by a moderator. They show a reported time and place. They are not official train positions, a complete train count, or proof of a cause.

    No approved rider observation matches this place or line in the last 31 days. That does not mean no train ran or no problem occurred.

    How CAPITAL is doing

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

    Measured over 495 route-hours. 7 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
    Iah tewaterièn:tare tó: nikaná:ien tsi niió:re ahontkáhtho ne ká'sere, ne raotiio'te tánon ne ò:ia.

    Tsi ní:ioht kahiatónhsera tánon tsi nihawen:'en iah teiotsén:ion

    83.8%

    Route-hours: median arrival prediction iáh énska minute early, iáh áhsen minutes late.

    Route-hours with repeated late predictions

    78of 495

    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

    2of 495

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

    Typical predicted delay

    3.6min

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

    Operations

    Iah skátne tewaterièn:tare tsi nahò:ten tó: nikahá:wi ne ká'sere ienkahá:wi. Ensewatkáhtho tsi niiorihò:ten. Ne ká'sere tsi niiohà:te, ne ronterihwakhéhtha, ne ahontá:wen tánon ne tsi kahiatónhsera tsi nikahá:wi iaonteweien'tà:'on. Iah ne ne'ne tsi ienkahá:wi ne tsi ahontaterièn:tara'ne tsi nahò:ten ne rorihwatsíhston.

    Who can fix it
    Ne ronterihwaién:tas, ó:ni oháha
    What it costs
    Cost unavailable until the operational cause and remedy are established.

    Prediction gap below twenty minutes

    99.2%

    Ne tsi niiohà:te tánon ne ora'shòn:'a tsi nahò:ten ne 95-percentile ne tsi ienkahá:wi ne ká'sere iah tewáhsen minits tsi nikaié:rite tsi nà:'a ne median.

    Route-hours with wide prediction gaps

    4of 495

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

    Typical prediction gap

    23.4min

    The usual gap between the 95th-percentile 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

    74.5% of eligible provider predictions were within five minutes of the timetable. 342,336 of 459,292 settled trip-stop predictions at stops inside this ward matched that range across 20 weekdays with feed evidence, from Oct 3, 2026 to Nov 3, 2026. These are provider predictions, not independently observed arrivals.

    2 partial-capture days not counted.

    Predictions within five minutes
    342,336
    Eligible trip-stop predictions
    459,292
    Observed days
    20 weekdays

    How this compares

    Ranked 16 of 22 measured wards. 3.9 points below the city median of 78.4%.

    Highest: ward 22 at 85.1%. 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

    24 of the 36 routes serving this ward have enough provider-prediction evidence to compare. Lowest timetable agreement first.

    1. 7Open route
      63.2%Predictions within five minutes

      211,314 eligible predictions across the whole route

    2. 19Open route
      64.2%Predictions within five minutes

      78,053 eligible predictions across the whole route

    3. 18Open route
      65.8%Predictions within five minutes

      96,916 eligible predictions across the whole route

    4. 56Open route
      67.8%Predictions within five minutes

      59,469 eligible predictions across the whole route

    5. 6Open route
      69.4%Predictions within five minutes

      191,599 eligible predictions across the whole route

    6. 110Open route
      71.6%Predictions within five minutes

      113,377 eligible predictions across the whole route

    7. 111Open route
      75.5%Predictions within five minutes

      114,122 eligible predictions across the whole route

    8. 9Open route
      75.8%Predictions within five minutes

      47,737 eligible predictions across the whole route

    9. 42Open route
      76.6%Predictions within five minutes

      54,954 eligible predictions across the whole route

    10. 92Open route
      76.6%Predictions within five minutes

      28,608 eligible predictions across the whole route

    12 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.

    Routes serving the ward

    38 scheduled routes

    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 · 40 boundary vertices · City of Ottawa ward boundaries · imported Aug 4, 2026

    ━ 36 bus routes═ 2 train lines● 191 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) 10

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

    Drinking water (City data) 9

    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 17: CAPITAL
    Boundary and vintage
    City ward layer · effective not published · imported August 4, 2026
    Official civic contacts
    • Shawn Menard · Councillor · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    • Mark Sutcliffe · Rakowá:nen · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    Relevant scheduled service
    38 public route records with a stop inside this boundary · operators: OC Transpo
    Transit evidence vintage
    Timetable import: not published · reliability window: Oct 3, 2026 – Nov 3, 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
    Kén:k nikón
    459,292 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:eaff436177693c4c95f13493c07f6448356f0150dca519baf0d387d0b8393ad5

    Tsi nón: ionkwaién:ta'

    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
    Tsi ní:ioht tsi iakwaié:ren

    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.