ᐱᓗᐊᖅᑐᒧᑦ ᑎᑎᕋᖅᓯᒪᔪᒧᑦ ᐊᐅᓪᓚᕐᓗᑎᑦ

ᐱᔨᑦᑎᕐᓂᖅ

ᐊᔪᕐᓇᖅᑐᖅ ᐅᖃᐅᑎᒋᓗᒍ

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

ᖃᓄᐃᓕᖓᓯᒪᕙ?
Full report No account needed

Ward 11 · Ottawa · Councillor: Tim Tierney

Beacon Hill-Cyrville

Beacon Hill-Cyrville: 71.4% of predictions within five minutes.

Partial data · 2 days partly captured
ᑕᓪᓕᒪ ᒥᓂᑦ ᐃᓗᐊᓂ
71.4%
ᓂᕈᐊᕐᕕᖕᒥ ᓄᖅᑲᖅᑕᕐᕖᑦ
262
ᐊᖅᑯᑏᑦ ᐅᕗᖓ ᑎᑭᑦᑐᑦ
45
Cancelled trips
ᓱᓕ ᐱᔭᐅᔪᓐᓇᙱᑦᑐᖅ
ᓱᓕ ᓈᓴᐅᑎᓕᐅᕐᓯᒪᖏᑦᑐᖅ ᓂᕈᐊᕐᓂᕐᒧᑦ ᐊᕕᒃᓯᒪᓂᖏᓐᓂ.

ᓇᐅᓂ ᓱᑲᐃᓂᖅᐹᖑᔪᖅ

  • 80% ᐅᖓᑖᓄᓪᓗ 9
  • 60 ᐊᒻᒪ 80% ᐊᑯᓐᖓᓂ 12
  • 60%-ᒥᑦ ᒥᑭᓐᓂᖅᓴᖅ 3
  • ᑐᓴᒐᒃᓴᑦ ᐊᒥᓲᙱᑦᑐᑦ 20

ᐊᖁᑏᑦ ᓄᓇᓕᐅᑉ ᐃᓚᖓᓂ ᐃᖏᕐᕋᔪᑦ, ᑕᓪᓕᒪᓂ ᒥᓂᑦᓯᓂ ᐃᓗᐊᓂ ᐱᕕᒃᓴᖓᓂ ᑎᑭᑦᑐᑦ ᖃᔅᓰᓐᓂᖏᑦ ᒪᓕᒡᓗᒋᑦ. ᐊᖁᑦ ᐊᑐᓂ ᐊᖁᑎᒥ ᑕᒪᐃᓐᓂ ᓈᓴᐅᑎᖃᖅᐳᖅ.

Routes in this ward

ᐃᖏᕐᕋᕝᕕᐅᔪᑦ ᐅᕙᓂ ᓂᕈᐊᕐᕕᒃᑯᑦ ᐃᓚᖓᓂ. ᑭᖑᕙᖅᐸᓪᓕᐊᓂᐹᑦ ᓯᕗᓪᓕᐅᓪᓗᑎᒃ.
ᐊᖁᑎ5 ᒥᓂᑦ ᐃᓗᐊᓂCancelledᐃᓄᒋᓐᓂᖓ
2131.3%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
2342.8%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
3257.8%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
763.2%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
1263.9%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
1964.2%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
2065.1%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ
1865.8%ᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅᓴᖅᑭᑕᐅᓯᒪᙱᑦᑐᖅ

Cancellations and crowding are not published per route yet. 20 routes with too little data or a different service purpose are left out.

ᐊᖅᑯᑏᑦ ᑕᒪᐃᓐᓂ ᐊᒻᒪ ᓇᑭᙶᕐᓂᖏᑦ

One-page brief

ᓇᐃᑦᑐᒥᒃ ᑎᑎᕋᖅᓯᒪᔪᖅ ᓇᖏᖅᑎᑕᐅᔪᓐᓇᖅᑐᖅ ᐅᓇ ᓂᕈᐊᕐᓂᕐᒧᑦ ᐊᕕᒃᑐᖅᓯᒪᔪᒧᑦ, ᑲᑎᒪᔨᑦ ᓄᓇᓕᓪᓗ ᑲᑎᒪᓂᖏᓐᓄᑦ. ᐊᔾᔨᒋᔭᐅᔪᑦ ᓈᓴᐅᑏᑦ, ᖃᓄᖅ ᐱᓕᕆᓯᒪᓂᖅ ᐅᖃᐅᓯᕐᓂ ᐱᑐᙱᑦᑐᓂ, ᓇᑭᙶᕐᓂᖏᓪᓗ ᐅᓪᓗᖃᖅᑐᑦ.

What can be verified in Beacon Hill-Cyrville?

ᑎᑭᕐᕕᒃᓴᖏᑦ ᐃᓱᒪᒋᔭᐅᔪᑦ, ᐊᐅᓪᓚᕐᕕᒃᓴᐃᑦ ᐊᑐᐊᒐᖏᑦ, ᐊᒻᒪ ᑐᕇᓐ ᐱᓗᒍ ᑐᓴᖅᑎᑦᑎᔾᔪᑎᑦ. ᐊᑐᓂ ᓴᖅᑭᑕᐅᔪᑦ ᓇᑭᓐᖓᐅᓂᖏᓐᓂᒃ.

ᐱᔨᑦᑎᔨᐅᑉ ᓇᓚᐅᑦᑖᖅᑕᖏᑦ ᐊᖏᖃᑎᒌᖕᓂᖏᑦ

71.4%

of eligible predictions within five minutes of schedule

ᐊᓯᖏᓐᓄᑦ ᓇᓚᐅᑦᑖᖅᑕᐅᓂᖓ
Rank 18 of 22 · median 78.4%

ᐱᔨᑦᑎᕋᐅᑎ, ᐱᕕᒃᓴᐃᑦ ᑎᑎᕋᖅᓯᒪᔪᑦ ᐃᓕᔭᐅᓯᒪᔪᑦ ᒪᓕᒡᓗᒋᑦ

Scheduled trips at ward stops
ᓱᓕ ᐱᔭᐅᔪᓐᓇᙱᑦᑐᖅ
ᐊᖁᑏᑦ
44
ᑐᕇᓐ ᐊᖅᑯᑎᖏᑦ
1

ᒫᓐᓇ ᐱᔨᑦᑎᕋᐅᑦ ᑭᒡᓕᐅᑉ ᐃᓗᐊᓂ

ᒫᓐᓇ ᐃᖏᕐᕋᔪᑦ ᐳᓯᑦ ᑖᔅᓱᒪ ᑭᒡᓕᐅᑉ ᐃᓗᐊᓂ ᑕᑯᔭᐅᔪᓐᓇᖅᑐᑦ ᓄᓇᙳᐊᖅ ᒪᒃᐱᒐᖓᓂ.

ᓂᕆᐅᒋᔭᐅᔪᑦ ᓇᓗᓇᐃᖅᓯᒋᐊᕐᓂᖏᑦ, ᐃᓕᓯᒪᔪᑦ ᐱᕕᒃᓴᐃᑦ, ᐊᒻᒪ ᐱᓕᕆᔾᔪᑏᑦ

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

71.4% within five minutes of the timetable across 320,163 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

45 routes · 262 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.

    ᐃᓱᓕᑦᑎᓂᖅ

    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.

    20 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 12, predictions later than timetable 09:00 to 21:00, 4 min late.

    Best here: route 38, predictions consistently close to timetable, 92%.

    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: 84.2% of final predictions within five minutes of the timetable, 17,256 predictions, typically 1.5 min late
    2. 01:00: 88.2% of final predictions within five minutes of the timetable, 8,001 predictions, typically 1 min late
    3. 02:00: 86.8% of final predictions within five minutes of the timetable, 3,654 predictions, typically 0.7 min late
    4. 03:00: 84.3% of final predictions within five minutes of the timetable, 3,166 predictions, typically 0.9 min late
    5. 04:00: 87.1% of final predictions within five minutes of the timetable, 7,754 predictions, typically 1.2 min late
    6. 05:00: 92.1% of final predictions within five minutes of the timetable, 19,071 predictions, typically 1 min late
    7. 06:00: 85.2% of final predictions within five minutes of the timetable, 42,709 predictions, typically 1.5 min late
    8. 07:00: 77.7% of final predictions within five minutes of the timetable, 56,818 predictions, typically 2 min late
    9. 08:00: 68.3% of final predictions within five minutes of the timetable, 61,464 predictions, typically 2.8 min late
    10. 09:00: 74.5% of final predictions within five minutes of the timetable, 59,780 predictions, typically 2.3 min late
    11. 10:00: 79.3% of final predictions within five minutes of the timetable, 58,272 predictions, typically 2 min late
    12. 11:00: 79% of final predictions within five minutes of the timetable, 58,158 predictions, typically 2.1 min late
    13. 12:00: 73% of final predictions within five minutes of the timetable, 58,392 predictions, typically 2.7 min late
    14. 13:00: 73.4% of final predictions within five minutes of the timetable, 58,149 predictions, typically 2.5 min late
    15. 14:00: 71.5% of final predictions within five minutes of the timetable, 58,112 predictions, typically 2.5 min late
    16. 15:00: 66.3% of final predictions within five minutes of the timetable, 60,381 predictions, typically 3.1 min late
    17. 16:00: 58.5% of final predictions within five minutes of the timetable, 62,337 predictions, typically 4 min late
    18. 17:00: 60.2% of final predictions within five minutes of the timetable, 64,851 predictions, typically 3.6 min late
    19. 18:00: 66.1% of final predictions within five minutes of the timetable, 60,601 predictions, typically 3.1 min late
    20. 19:00: 74.2% of final predictions within five minutes of the timetable, 50,152 predictions, typically 2.5 min late
    21. 20:00: 79.9% of final predictions within five minutes of the timetable, 46,392 predictions, typically 2 min late
    22. 21:00: 78.1% of final predictions within five minutes of the timetable, 42,844 predictions, typically 2.2 min late
    23. 22:00: 79.4% of final predictions within five minutes of the timetable, 34,234 predictions, typically 2.1 min late
    24. 23:00: 81.6% of final predictions within five minutes of the timetable, 26,942 predictions, typically 1.7 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
    WhatᖃᖓᐅᑦᑐᕋᖅᑕᐅᓯᒪᔪᖅScenario or next investigation
    ProblemPredictions later than timetable12724182014192515334142323930404723213420 routes09:00 to 21:00 … 05:004 min late … 6.8 min lateMore running time
    ProblemWide prediction spread20241915231056 routes16:00 to 18:00 … 17:0028.2 min swing … 25.1 min swingOperations, not the timetable
    StrengthPredictions consistently close to timetable381 routes04:00 to 00:0092%Keep what works
    ProblemOne hour has a lower prediction match241225141820413340193034151054726353218 routes16:00 … 19:0042% … 25%Operations, not the timetable
    ProblemPredictions earlier than timetable2347263 routes17:00 … 10:005.9 min early · 1.1 min earlyLess running time, or holding points
    StrengthObserved-position lower bound403018193538344247232111 routesAll measured hours100%Keep what works
    CaveatCoverage gap3910571412411525332420263213 routesAll measured hours98% … 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 BEACON HILL-CYRVILLE is doing

    ᑖᒃᑯᐊ ᓇᓗᓇᐃᒃᑯᑕᐃᑦ ᐊᕕᒃᑐᐃᔪᑦ ᐅᑎᖅᑕᖅᐸᒃᑐᒥᒃ ᑭᖑᕙᕐᓂᕐᒥᒃ ᐊᒻᒪ ᐱᓕᕆᕝᕕᐅᑉ ᑎᑭᓐᓂᐊᕐᓂᖏᑦ ᐃᓱᒪᒋᔭᖏᑦ ᐊᓯᔾᔨᖅᐸᓐᓂᖏᓐᓂᒃ. ᐊᐱᖁᑎᓂᒃ ᐃᓱᒪᒋᐊᖅᑎᑦᑎᔪᑦ ᐸᕐᓇᐃᔨᓄᑦ ᐊᒻᒪ ᐱᓕᕆᔨᓄᑦ. ᐱᔾᔪᑎᖓ ᓇᓗᓇᐃᖅᓯᖏᑦᑐᑦ. ᐱᐊᓯᑦ ᖃᖓ ᑎᑭᒻᒪᖔᑕ ᓇᓗᓇᐃᖅᓯᖏᑦᑐᑦ. ᓈᓴᐅᑎ ᑕᒪᐃᓐᓂ ᑕᑯᒃᓴᐅᑎᑦᑎᔪᖅ ᖃᑦᓯᓂᒃ ᐃᖏᕐᕋᕝᕕᒃ-ᐃᑲᕐᕋᓂᒃ ᐊᑐᖅᓯᒪᒻᒪᖔᑦ.

    Measured over 427 route-hours. 5 more were observed too thinly to count, and are excluded rather than assumed good.

    ᐃᑲᕐᕋᓄᑦ ᐋᖅᑭᒃᓯᓂᖅ

    ᐊᑯᓂ ᑭᖑᕙᕐᓂᖏᑦ ᓂᕆᐅᒋᔭᐅᔪᑦ ᑕᑯᑎᑦᑎᔪᓐᓇᖅᑐᑦ ᐃᑲᕐᕋᓕᐊᖑᔪᖅ ᕿᒥᕐᕈᔭᐅᒃᓴᐅᓂᖓᓂᒃ. ᕿᒥᕐᕈᓗᒋᑦ ᑎᑭᑦᑐᑦ ᐃᑲᕐᕋᖏᑦ ᐊᒻᒪ ᐊᐅᓪᓚᑎᑦᑎᓂᕐᒧᑦ ᑎᑎᕋᖅᓯᒪᔪᑦ. ᑕᐃᒪ ᐃᓱᒪᓕᐅᕐᓗᑎᑦ ᐃᖏᕐᕋᓂᕐᒧᑦ ᐱᕕᒃ ᐊᓯᔾᔨᕆᐊᖃᕐᒪᖔᑦ.

    ᑭᓇ ᐋᖅᑭᒃᓯᔪᓐᓇᖅᐸ
    ᐃᖏᕐᕋᓂᕐᒧᑦ ᐸᕐᓇᐃᔨ
    ᖃᓄᖅ ᐊᑭᖃᖅᐸ
    ᐊᑭᖏᑦ ᓇᓗᓇᖅᐳᑦ ᓱᓕ. ᖃᐅᔨᓴᖅᑕᐅᔭᕆᐊᖃᖅᐳᑦ ᐊᖅᑲᐅᑏᑦ, ᐃᖅᑲᓇᐃᔭᖅᑏᑦ, ᐊᑭᓕᖅᑕᐅᓂᖏᑦ ᐊᒻᒪ ᐊᓯᔾᔨᖅᓯᓂᖏᑦ.

    ᓇᓚᐅᑦᑖᖅᑕᐅᓯᒪᔪᑦ ᐃᑲᕐᕋᐃᑦ ᐊᓪᓚᓯᒪᔪᓂᒃ ᖃᓂᒋᔭᖃᖅᑐᑦ

    72.6%

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

    ᐊᖅᑯᑎᐅᑉ ᐃᑲᕐᕋᖏᑦ ᑭᖑᕙᕆᐊᖃᑦᑕᕐᓂᐊᖅᑐᖅ ᐅᖃᐅᓯᐅᖃᑦᑕᖅᑐᑦ

    114of 427

    ᐃᖏᕐᕋᕝᕕᐅᑉ ᐃᑲᕐᕋᖏᑦ, ᑎᑭᓂᐊᕐᓂᖏᑦ ᓂᕆᐅᒋᔭᐅᔪᑦ ᐊᑯᓐᓂᐊᓂ ᐱᖓᓱᓂᒃ ᒥᓂᑦᓂᒃ ᐅᖓᑖᓄᓪᓘᓐᓃᑦ ᑭᖑᕙᖅᑐᑦ. ᐃᖏᕐᕋᓂᖓᑕ ᐊᑯᓐᓂᖓ ᖃᐅᔨᓴᕐᓗᒍ ᐃᖏᕐᕋᓂᕐᒧᑦ ᑎᑎᕋᖅᓯᒪᔪᓂᒃ ᓴᓂᐊᓂᒃ.

    ᐃᖏᕐᕋᕝᕕᐃᑦ ᐃᑲᕐᕋᖏᑦ, ᐸᔅ ᓯᕗᓪᓕᐅᕐᓂᐊᕐᓂᖓᓂᒃ ᓇᓚᐅᑦᑖᖅᑕᐅᑎᓪᓗᒍ

    3of 427

    ᐊᖁᑎ ᐃᑲᕐᕋᖏᑦ, ᑕᐃᑦᓱᒪᓂ ᑎᑭᓐᓂᐊᕐᓂᖓᓄᑦ ᓇᓚᐅᑦᑖᕐᓂᖅ ᐊᑯᓐᓂᐊᓂ ᓯᕗᓪᓕᐅᕐᓂᐊᖅᑐᖅ ᐊᑕᐅᓯᕐᒥᒃ ᒥᓂᑦᒥᒃ ᐅᖓᑖᓄᓪᓘᓃᑦ. ᐅᓇ ᓇᓗᓇᐃᖅᓯᙱᑦᑐᖅ ᐸᓯᑦ ᓯᕗᓪᓕᐅᖅᖢᑎᒃ ᐊᐅᓪᓚᓚᐅᖅᓯᒪᓂᖏᓐᓂᒃ.

    ᑭᖑᕙᕆᐊᕐᓂᖅ ᓂᕆᐅᒋᔭᐅᑦᑕᐃᓐᓇᖅᑐᖅ

    3.7min

    ᑭᖑᕙᕆᐊᖃᕐᓂᖅ ᐊᑐᐃᓐᓇᐅᓂᖅᐹᖅ ᓂᕆᐅᒋᔭᐅᔪᖅ ᐃᖏᕐᕋᕝᕕᓐᓂ ᓇᓗᓇᐃᖅᑕᐅᓯᒪᔪᓂ. ᐅᓇ ᓇᓗᓇᐃᖅᑕᐅᑦᑎᐊᖏᑦᑐᖅ ᐃᓚᓗᒍ ᐃᖏᕐᕋᓂᕐᒧᑦ ᐱᕕᒃᓴᓄᑦ.

    ᐊᐅᓚᑦᑎᓂᖅ

    ᑎᑭᑉᐸᓐᓂᖏᑦ ᓇᓚᐅᑦᑖᖅᑕᐅᔪᑦ ᐊᔾᔨᒌᙱᑦᑐᐊᓘᒐᐃ, ᐱᓕᕆᓂᖅ ᕿᒥᕐᕈᐊᖅᑕᐅᑦᑎᐊᕆᐊᖃᖅᐳᖅ. ᐊᖅᑯᑎᒥ ᐅᓄᖅᑐᑦ ᐃᖏᕐᕋᔪᑦ, ᐊᐅᓪᓚᑦᑎᓂᖅ, ᐃᑭᓂᖅ ᐊᒻᒪ ᐱᓇᓱᐊᕈᓯᐅᑉ ᐋᖅᑭᒃᓯᒪᓂᖓ ᐱᔾᔪᑎᐅᒍᓐᓇᖅᑐᑦ. ᑖᒃᑯᐊ ᓇᓚᐅᑦᑖᖅᑕᐅᔪᑦ ᑭᓯᐊᓂ ᓇᓗᓇᐃᖅᓯᒍᓐᓇᙱᑦᑐᑦ ᐱᔾᔪᑎᒥᒃ ᐋᖅᑭᒋᐊᕈᑎᒥᒡᓘᓐᓃᑦ.

    ᑭᓇ ᐋᖅᑭᒃᓯᔪᓐᓇᖅᐸ
    ᐊᐅᓚᑦᑎᔨᑦ. ᐊᒥᓲᓂᖏᓐᓂ ᐊᖅᑯᓯᓂᖅ ᓇᒻᒥᓂᖅ.
    ᖃᓄᖅ ᐊᑭᖃᖅᐸ
    ᐊᑭᖓ ᒫᓐᓇ ᓇᓗᓇᖅᑐᖅ. ᐱᔾᔪᑎᖓ ᐋᖅᑭᒋᐊᕈᑎᖓᓗ ᓇᓗᓇᐃᖅᑕᐅᓚᐅᖅᐸᑦ, ᐊᑭᖓ ᓇᓗᓇᐃᖅᑕᐅᓂᐊᖅᑐᖅ.

    ᓂᕆᐅᒋᔭᐅᔪᖅ ᐊᑯᓐᓂᖓ ᑐᐌᓐᑎ-ᒥᓂᑦ ᐊᑖᓂ

    98.4%

    ᐊᖁᑎ-ᐃᑲᕐᕋᐃᑦ ᐅᑯᐊ: 95-ᐳᓴᓐᑎ ᓇᓚᐅᑦᑖᖅᑕᐅᔪᑦ ᐊᑐᕐᑕᐅᔪᓐᓇᖅᑐᑦ ᑐᐃᓐᑎ ᒥᓂᑦ ᐅᖓᑖᓄᑦ ᑭᖑᕙᖏᑦᑐᑦ ᕿᑎᐊᓃᑦᑐᒥᑦ.

    ᐃᖏᕐᕋᕝᕕᐅᑉ ᐃᑲᕐᕋᖏᑦ ᓇᓚᐅᑦᓯᓂᖅ ᐊᔾᔨᒌᙱᑦᑑᓗᐊᖅᑎᓪᓗᒍ

    7of 427

    ᐊᖁᑦ-ᐃᑲᕐᕋᐃᑦ, 95-ᐳᓴᓐᑎᐊᓪ ᓂᕆᐅᒋᔭᐅᔪᖅ ᑭᖑᕙᖅᑐᖅ ᐊᑯᓐᓂᖓᓂᑦ ᑐᐃᓐᑎ ᒥᓂᑦ ᐅᖓᑖᓄᓪᓗ. ᐱᔾᔪᑎᖓ ᖃᐅᔨᓴᕐᑕᐅᔭᕆᐊᖃᖅᑐᖅ.

    ᓂᕆᐅᒋᔭᐅᔪᒥᑦ ᐊᔾᔨᒌᙱᓐᓂᖓ ᑕᐃᒪᐃᖃᑦᑕᖅᑐᖅ

    25.1min

    ᐊᑯᓐᓂᖓ 95-ᒥ ᐳᓴᓐᑎᒥ ᑕᑯᓐᓇᐅᑎᐅᑉ ᖃᑎᒻᒥᓗ, ᓇᓗᓇᐃᖅᑕᐅᓯᒪᔪᓂ ᐃᖏᕐᕋᕝᕕᓂ ᐃᑲᕐᕋᓂ.

    ᐱᔨᑦᑎᕋᐅᑎ, ᐱᕕᒃᓴᐃᑦ ᑎᑎᕋᖅᓯᒪᔪᑦ ᐃᓕᔭᐅᓯᒪᔪᑦ ᒪᓕᒡᓗᒋᑦ

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

    ᐱᔨᑦᑎᔨᐅᑉ ᓇᓚᐅᑦᑖᖅᑕᖏᑦ ᐊᖏᖃᑎᒌᖕᓂᖏᑦ

    71.4% of eligible provider predictions were within five minutes of the timetable. 228,483 of 320,163 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
    228,483
    Eligible trip-stop predictions
    320,163
    Observed days
    20 weekdays

    ᐊᓯᖏᓐᓄᑦ ᓇᓚᐅᑦᑖᖅᑕᐅᓂᖓ

    Ranked 18 of 22 measured wards. 7 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 44 routes serving this ward have enough provider-prediction evidence to compare. Lowest timetable agreement first.

    1. 21Open route
      31.3%Predictions within five minutes

      979 eligible predictions across the whole route

    2. 23Open route
      42.8%Predictions within five minutes

      5,797 eligible predictions across the whole route

    3. 32Open route
      57.8%Predictions within five minutes

      10,325 eligible predictions across the whole route

    4. 7Open route
      63.2%Predictions within five minutes

      211,314 eligible predictions across the whole route

    5. 12Open route
      63.9%Predictions within five minutes

      205,036 eligible predictions across the whole route

    6. 19Open route
      64.2%Predictions within five minutes

      78,053 eligible predictions across the whole route

    7. 20Open route
      65.1%Predictions within five minutes

      89,859 eligible predictions across the whole route

    8. 18Open route
      65.8%Predictions within five minutes

      96,916 eligible predictions across the whole route

    9. 15Open route
      67.1%Predictions within five minutes

      29,259 eligible predictions across the whole route

    10. 14Open route
      69.2%Predictions within five minutes

      147,871 eligible predictions across the whole route

    20 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

    45 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 · 49 boundary vertices · City of Ottawa ward boundaries · imported Aug 4, 2026

    ━ 44 bus routes═ 1 train lines● 262 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) 4

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

    Drinking water (City data) 10

    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 11: BEACON HILL-CYRVILLE
    Boundary and vintage
    City ward layer · effective ᑐᓴᖅᑎᑕᐅᓚᐅᖏᑦᑐᖅ · imported August 4, 2026
    Official civic contacts
    • Tim Tierney · Councillor · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    • Mark Sutcliffe · ᒪᐃᔭ · source check is older than the publication threshold · source checked August 4, 2026 · official City contact source
    Relevant scheduled service
    45 public route records with a stop inside this boundary · operators: OC Transpo
    Transit evidence vintage
    Timetable import: ᑐᓴᖅᑎᑕᐅᓚᐅᖏᑦᑐᖅ · 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.

    ᑖᑦᓱᒪ ᒪᑉᐱᒐᐅᑉ ᓇᓗᓇᐃᖅᓯᒍᑎᖏᑦᐅᒃᑯᐃᓗᒍ ᑐᑭᖓ, ᖃᓄᖅ ᐱᓕᕆᓯᒪᓂᖅ, ᓇᑭᙶᕐᓂᖏᑦ, ᐅᓪᓗᖏᑦ, ᓇᒧᑦ ᐊᐅᓚᓂᖏᑦ, ᐊᒻᒪ ᑭᒡᓕᖏᑦ ᖃᐅᔨᒪᔭᐅᔪᑦ.

    ᓴᖅᑭᑎᑕᐅᔪᑦ

    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.

    ᓇᓗᓇᐃᖅᓯᒍᑏᑦ ᐅᓪᓗᖏᑦ

    ᐃᓯᖅᑎᑕᐅᓯᒪᔪᖅ
    ᓈᓴᐅᑎᓕᐅᖅᑕᐅᔪᖅ ᐅᕝᕙᓘᓐᓃᑦ ᑲᑐᔾᔨᖅᑕᐅᔪᖅ
    ᐆᒃᑐᕋᐅᑎ
    320,163 eligible settled provider predictions across 20 weekdays with prediction evidence support the reliability result.
    ᐱᓕᕆᓯᐊ ᐅᕝᕙᓘᓐᓃᑦ ᑎᑎᖅᑲᑦ ᓄᑖᓕᐊᖏᑦ
    ward-counts-v1 + ward-stop-settled-arrivals-purpose-aware-v3
    ᓇᑭᙶᕐᓂᖓᑕ ᓇᓗᓇᐃᒃᑯᑕᖓ
    ward-reliability:0be5dd29837b738d0395f26bc570975989e95ff240f3b03efaef64323f34c9b9

    ᓇᑭᑦ ᑐᓴᒐᒃᓴᐃᑦ

    ᑭᒡᓕᖏᑦ ᐃᖅᑲᐅᒪᔭᐅᑎᐊᕆᐊᓖᑦ

    • ᓈᓴᐅᑏᑦ ᓇᓗᓇᐃᖅᓯᔪᑦ ᑎᑎᕋᖅᓯᒪᔪᓂᒃ ᑭᒡᓕᐅᑉ ᐃᓗᐊᓂ. ᓇᓗᓇᐃᖅᓯᙱᑦᑐᑦ ᐱᔨᑦᑎᕋᐅᑎᐅᑉ ᐱᐅᓂᖓᓂᒃ. ᐊᒻᒪ ᓇᓗᓇᐃᖅᓯᙱᑦᑐᑦ ᐃᓪᓗᓂ ᑕᒪᐃᓐᓂᑦ ᐊᑐᕈᓐᓇᕐᓂᖓᓂᒃ.
    • ᐱᕕᒃᓴᖓᓂ ᑎᑭᑦᑕᕐᓂᖓ ᐃᓗᓕᖃᖅᐳᖅ OC Transpo ᓂᕆᐅᒋᔭᖏᓐᓂᒃ ᑭᖑᓪᓕᖅᐹᖑᔪᓂᒃ. ᑖᒃᑯᐊ ᓄᖃᖅᑕᕐᕕᓐᓂ ᐱᖃᑕᐅᔪᑦ ᓄᓇᒥ ᐃᓂᖏᑦ ᒪᓕᑦᑐᒋᑦ. ᑎᑭᑦᑕᕐᓂᖏᑦ ᓱᓕᔪᑦ ᐊᓯᐊᒍᑦ ᓇᓗᓇᐃᖅᑕᐅᙱᑦᑐᑦ. O-Train ᐃᓗᓕᐅᙱᑦᑐᖅ. ᐃᖏᕐᕋᓂᐅᔪᑦ ᓂᕆᐅᒋᔭᐅᔪᓂᒃ ᐊᑐᐃᓐᓇᐅᔪᓂᒃ ᐱᑕᖃᙱᑦᑐᑦ ᐃᓗᓕᐅᙱᑦᑐᑦ ᐊᒻᒪ.
    • An unavailable count remains unavailable. It is not changed to zero.
    ᓱᓕᔪᒥᒃ ᐋᖅᑭᒋᐊᕐᓂᕐᒥᒃ ᐊᑐᓕᖁᔨᓗᑎᑦ
    ᖃᓄᖅ ᓈᓴᐃᕙᒻᒪᖔᑦᑕ

    ᐃᖏᕐᕋᓂᕐᒧᑦ ᐊᑐᓂ, ᓄᖅᑲᖓᕝᕕᒧᑦ ᐊᑐᓂ ᐊᒻᒪ ᐅᓪᓗᒧᑦ ᐊᑐᓂ, ᓄᖅᑲᖓᕝᕕᓂ ᓂᕈᐊᕐᓂᕐᒧᑦ ᐊᕕᒃᑐᖅᓯᒪᓂᐅᑉ ᐃᓗᐊᓂ, ᑐᖓᓕᖅᐹᖅ OC Transpo-ᑯᑦ ᓇᓚᐅᑦᑖᖅᑕᖏᑦ ᑎᑭᓂᐊᕐᓂᖓᓂᒃ ᐱᑦᑎᐊᖅᑕᕗᑦ. ᑕᑭᒋᐊᖅᑕᕗᑦ ᐊᐅᓚᓂᕐᒧᑦ ᐸᕐᓇᐅᑎᒥᒃ. ᑕᓪᓕᒪ ᒥᓂᑦ ᐃᓗᐊᓂ ᐱᔪᖅ ᐅᑯᐊ ᒪᕐᕉᒃ ᑕᓪᓕᒪ ᒥᓂᑦ ᐅᖓᑖᓂ ᐊᔾᔨᒌᙱᑦᑐᓐᓂᐅᙱᑉᐸᑕ. ᑕᒪᓐᓇ ᑎᑭᑦᑐᓐᓃᑦᑐᖅ ᑕᑯᔭᐅᓯᒪᔪᐃᑦ ᐅᙱᑦᑐᖅ.

    ᐱᕝᕕᒃ ᑭᖑᓪᓕᖅᐹᑦ 28 ᐅᓪᓗᐃᑦ ᐃᖏᕐᕋᓂᖅ ᐱᐊᓂᒃᑕᐅᓚᐅᖅᑐᑦ. ᐱᐊᓂᒃᓯᓂᖅ ᓴᖅᑭᑕᐅᖃᑦᑕᖅᑐᖅ 20 ᐱᓇᓱᐊᕐᕕᐅᔪᑦ ᐅᓪᓗᑦ ᑐᓴᒐᒃᓴᖃᕈᓂ, 500-ᓗ ᓯᕗᓂᒃᓴᒧᑦ ᓇᓚᐅᑦᑖᕆᓂᕐᓂᒃ ᐊᑐᕐᓂᖃᖅᑐᓂᒃ. ᐊᖅᑯᑎᓄᑦ ᐱᐊᓂᒃᓯᓂᐅᔪᑦ ᐊᖅᑯᑎ ᐃᓘᓐᓇᖓ ᐱᔭᐅᕗᖅ. ᓂᕈᐊᕐᓂᕐᒧᑦ ᐃᓂᐅᑉ ᐃᓗᐊᓂ ᐃᓚᖓ ᑭᓯᐊᓂ ᐱᔭᐅᓐᖏᑦᑐᖅ.

    Read the full method

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