Delay analytics
Delay analytics · ' . esc_html($d['country']) . '
How the delays moved.
The day-by-day record this board has published, read against the live window — one metric, stated plainly, with its coverage window attached.
Stale window
Updated 17:19
Snapshot age 16 minutes
58.9%
7-day mean on time
vs 60s rule
69.4%
30-day mean on time
Recorded days
-10.5pp
7-day vs 30-day
Slipping
0.0s
Mean delay, live window
Rolling
Day by day
On time % · last 15 recorded days2026-09-2667.9%
2026-09-2797.8%
2026-09-2890.5%
2026-09-2989.8%
2026-09-3082.8%
2026-10-0164.0%
2026-10-0254.5%
2026-10-0381.2%
2026-10-0450.0%
2026-10-0571.8%
2026-10-0652.8%
2026-10-0774.7%
2026-10-0838.2%
2026-10-0946.5%
2026-10-1078.2%
Day-by-day record · not an official statistic.
Live window
Where the delays are right now
On Time (≤60s)1
Minor (1–5m)0
Moderate (5–10m)0
Major (>10m)0
Worst routes in the window
Express1 stop sampled
100.0%
avg 0s · max 0s
Worst stations in the window
Hualien1 stop sampled
100.0%
avg 0s · max 0s
History source
This hub's own daily per-board record (one sample per UTC day, 400-day cap) built from the board's endpoint.
Live source
Data: Taiwan TRA LiveBoard via the MOTC Public Transport Data eXchange (PTX)
Averages
7-day and 30-day means appear once two or more days are on record; a single day is never shown as a trend.
Not an official operator statistic. Read alongside the board at ' . esc_html(Hub_Board::board_url($d['card'])) . '