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Ward 16 · Ottawa · Councillor: Riley Brockington

River

River: 78.2% of predictions within five minutes.

Partial data · 2 days partly captured
Within five minutes
78.2%
Stops in the ward
328
Routes serving it
31
Cancelled trips
Not available yet
Not counted per ward yet

Where it is slowest

  • 80% and up 10
  • 60 to 80% 10
  • Under 60% 0
  • Too little data 9

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
19865.0%Iah tekahiá:tonteIah tekahiá:tonte
5365.8%Iah tekahiá:tonteIah tekahiá:tonte
5667.8%Iah tekahiá:tonteIah tekahiá:tonte
669.4%Iah tekahiá:tonteIah tekahiá:tonte
8170.6%Iah tekahiá:tonteIah tekahiá:tonte
11071.6%Iah tekahiá:tonteIah tekahiá:tonte
8074.2%Iah tekahiá:tonteIah tekahiá:tonte
11175.5%Iah tekahiá:tonteIah tekahiá:tonte

Cancellations and crowding are not published per route yet. 9 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 River?

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

Provider prediction agreement

78.2%

of eligible predictions within five minutes of schedule

How this compares
Rank 12 of 22 · median 78.4%

Service, per the imported timetable

Scheduled trips at ward stops
Not available yet
Ohahà:
29
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

78.2% within five minutes of the timetable across 463,127 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

31 routes · 328 stops. Timetable inventory, not trips delivered.

Cancellations at stops in this ward

Local count unavailable

The exact stop-call lookup did not finish within this page’s time budget. No zero, cancellation, or missed call is inferred.

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.

12 of 20 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 53, predictions later than timetable 14:00 to 19:00, 4.9 min late.

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

20 of 20 routes here had something measurable to report.

Arrivals within five minutes, by hour of day, across the 20 routes graded here, last 14 days
  1. 00:00: 90.9% of final predictions within five minutes of the timetable, 18,184 predictions, typically 0.7 min late
  2. 01:00: 85% of final predictions within five minutes of the timetable, 5,802 predictions, typically 0.8 min late
  3. 02:00: 92.3% of final predictions within five minutes of the timetable, 1,652 predictions, typically 0.9 min late
  4. 03:00: 89.1% of final predictions within five minutes of the timetable, 1,418 predictions, typically 0.3 min late
  5. 04:00: 90.9% of final predictions within five minutes of the timetable, 5,926 predictions, typically 1 min late
  6. 05:00: 88.9% of final predictions within five minutes of the timetable, 23,003 predictions, typically 1.2 min late
  7. 06:00: 88.2% of final predictions within five minutes of the timetable, 50,525 predictions, typically 1.2 min late
  8. 07:00: 82.1% of final predictions within five minutes of the timetable, 67,304 predictions, typically 1.6 min late
  9. 08:00: 74.9% of final predictions within five minutes of the timetable, 67,793 predictions, typically 2.1 min late
  10. 09:00: 81.3% of final predictions within five minutes of the timetable, 66,221 predictions, typically 1.5 min late
  11. 10:00: 82.7% of final predictions within five minutes of the timetable, 63,013 predictions, typically 1.3 min late
  12. 11:00: 79% of final predictions within five minutes of the timetable, 61,372 predictions, typically 1.6 min late
  13. 12:00: 77.5% of final predictions within five minutes of the timetable, 61,919 predictions, typically 1.9 min late
  14. 13:00: 78.3% of final predictions within five minutes of the timetable, 62,774 predictions, typically 1.6 min late
  15. 14:00: 77% of final predictions within five minutes of the timetable, 64,292 predictions, typically 1.7 min late
  16. 15:00: 68.7% of final predictions within five minutes of the timetable, 67,909 predictions, typically 2.7 min late
  17. 16:00: 65.1% of final predictions within five minutes of the timetable, 70,357 predictions, typically 3 min late
  18. 17:00: 65.1% of final predictions within five minutes of the timetable, 72,743 predictions, typically 2.9 min late
  19. 18:00: 70.3% of final predictions within five minutes of the timetable, 65,816 predictions, typically 2.4 min late
  20. 19:00: 77.7% of final predictions within five minutes of the timetable, 51,731 predictions, typically 1.8 min late
  21. 20:00: 81.3% of final predictions within five minutes of the timetable, 47,132 predictions, typically 1.5 min late
  22. 21:00: 82.2% of final predictions within five minutes of the timetable, 42,054 predictions, typically 1.6 min late
  23. 22:00: 84.5% of final predictions within five minutes of the timetable, 37,352 predictions, typically 1.6 min late
  24. 23:00: 87.9% of final predictions within five minutes of the timetable, 29,990 predictions, typically 1.1 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 timetable53681110809256441111988611712 routes14:00 to 19:00 … 01:004.9 min late … 7.2 min lateMore running time
ProblemOne hour has a lower prediction match6539244861111121051981175611 routes17:00 … 01:0046% … 33%Operations, not the timetable
ProblemWide prediction spread1056198801175 routes17:00 … 02:0025.1 min swing … 37.9 min swingOperations, 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 bound98116921984 routesAll measured hours100%Keep what works
CaveatCoverage gap10553566108644881118511090808111211716 routesAll measured hours97% … 96%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 RIVER 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 388 route-hours. 4 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

86.9%

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

Route-hours with repeated late predictions

49of 388

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 388

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

3.7min

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

98.5%

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

6of 388

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

Typical prediction gap

29min

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

78.2% of eligible provider predictions were within five minutes of the timetable. 361,965 of 463,127 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
361,965
Eligible trip-stop predictions
463,127
Observed days
20 weekdays

How this compares

Ranked 12 of 22 measured wards. 0.2 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

20 of the 29 routes serving this ward have enough provider-prediction evidence to compare. Lowest timetable agreement first.

  1. 198Open route
    65.0%Predictions within five minutes

    6,081 eligible predictions across the whole route

  2. 53Open route
    65.8%Predictions within five minutes

    132,043 eligible predictions across the whole route

  3. 56Open route
    67.8%Predictions within five minutes

    59,469 eligible predictions across the whole route

  4. 6Open route
    69.4%Predictions within five minutes

    191,599 eligible predictions across the whole route

  5. 81Open route
    70.6%Predictions within five minutes

    146,779 eligible predictions across the whole route

  6. 110Open route
    71.6%Predictions within five minutes

    113,377 eligible predictions across the whole route

  7. 80Open route
    74.2%Predictions within five minutes

    181,776 eligible predictions across the whole route

  8. 111Open route
    75.5%Predictions within five minutes

    114,122 eligible predictions across the whole route

  9. 92Open route
    76.6%Predictions within five minutes

    28,608 eligible predictions across the whole route

  10. 10Open route
    77.5%Predictions within five minutes

    110,602 eligible predictions across the whole route

9 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

31 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

━ 29 bus routes═ 2 train lines● 328 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) 8

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 16: RIVER
Boundary and vintage
City ward layer · effective not published · imported August 4, 2026
Official civic contacts
  • Riley Brockington · 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
31 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
463,127 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:6fd57abd138503d0bbc9995608f77fbcdb2b1a54a27312c7717c2c283ca175b3

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.