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Initial release: 12 months × 5-min × 12 Jerusalem stations (~7.1M readings)
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Jerusalem Air Quality — Weekday vs Friday vs Shabbat (preliminary)

12 months of 5-minute resolution data (2025-04-28 → 2026-04-28) for 12 active Israeli MoEP / Envista ARM stations in Jerusalem, pulled from https://air-papi.sviva.gov.il/v1/envista/... (see research/api-air-sviva-gov-il.md).

Daytime window = 07:00–22:00 local (Asia/Jerusalem). Friday evening through Saturday morning is collapsed into "Sat" since Shabbat-observant traffic is already off the road by then; this slightly understates the true Shabbat drop because it includes Friday morning rush in "Fri".

Each station has ~50 Fridays and ~50 Saturdays in the window (station 623 joined Aug 2025, station 635 joined Feb 2026 — small samples flagged).

Signal: traffic-derived gases drop sharply on Shabbat

Median Shabbat % drop vs Sun-Thu daytime mean, across the 12 stations:

Pollutant Friday % drop Shabbat % drop
NO ~40 % ~55 %
NOx ~34 % ~52 %
NO₂ ~30 % ~47 %
Toluene ~44 % ~38 %
Benzene ~25 % ~21 %
CO ~7 % ~8 %

The signal is consistent, monotonic (Sun-Thu > Fri > Sat for every gaseous traffic pollutant at every station except a couple of edge cases), and strongest in the most observant neighbourhoods.

Where the drop is biggest

Top stations by NOx Shabbat drop:

Station ID Location NOx weekday NOx Shabbat % drop
635 Bezalel St (city centre, near Geula) 34.0 9.0 73 %
310 Central Bus Station Platform 10 130.0 40.5 69 %
458 Devorah HaNevia St (residential) 39.6 15.5 61 %
328 Atarot industrial zone 38.8 15.8 59 %
547 Highway 16 / Beit interchange 18.1 7.8 57 %
5 Bar Ilan St (arterial) 26.4 11.9 55 %
193 Romema (ultra-Orthodox) 14.3 6.8 52 %
607 Beit Safafa 18.6 9.3 50 %
13 Baka (residential mixed) 13.9 8.5 39 %
36 Safra Square (city centre) 11.1 7.5 33 %
623 Atarot Eden (8 mo. only) 12.1 9.1 25 %
568 Rockefeller Museum 33.1 28.7 13 %

Rockefeller Museum (568) is the surprise outlier — much smaller drop than neighbours. Worth checking whether the inlet sits next to a road that remains busy on Shabbat (Sultan Suleiman / Salah a-Din area carries a lot of East-Jerusalem traffic, which doesn't observe Shabbat).

Conversely, the very tight grouping at 50–70 % drops in West-Jerusalem arterial / residential stations is a strong correlate of the population's observance of vehicular Shabbat.

Friday is genuinely intermediate

Friday daytime sits roughly half-way between weekday and Shabbat for NOx at most stations — consistent with reduced commercial activity but ongoing pre-Shabbat shopping/errands until early afternoon. scripts/shabbat_correlation.py also writes station-{id}-friday-split.csv breaking Friday into AM (07–13) and PM (14–22) — the AM block looks like a near-normal weekday; the drop concentrates in PM.

PM2.5 / PM10 do not drop on Shabbat — they often rise

Particulate matter increases on Saturdays at almost every station (-30 % to -65 % "drops", i.e. Sat is higher than weekday). Several plausible contributors, none ruled out yet:

  • April–May 2026 included multiple Saharan dust intrusions; 12 months is not enough to wash that out and Saturdays happened to coincide with some of them.
  • Charcoal grilling (mangal) is a well-documented Israeli Friday-afternoon / Saturday source of PM2.5 and PM10.
  • Reduced wind / different boundary-layer dynamics on weekends.

This is a real finding for the project but it cuts the other way from the gaseous traffic story and deserves its own analysis (probably needs to controlling for synoptic dust days).

Caveats

  • Daytime defined as 07–22 ignores the actual Shabbat onset/conclusion times, which vary 17:00–19:00 by season. A Hebcal-driven exact window would tighten the signal.
  • Calendar holidays (Pesach 2025-04, Shavuot, Rosh Hashana, Yom Kippur, Sukkot, Hanukkah) are not excluded — Yom Kippur in particular is the cleanest air day of the year nationwide and inflates "weekday" cleanness for any year that includes it (Wed 2025-10-01 was YK 2025).
  • 12 months × 5-min data is ~700k rows per station, ~2 GB total raw JSON; the raw is gitignored and regenerable via the API; only summary CSVs are committed.

How to reproduce

# 1. Pull raw data (mints Guest tokens, ~2 GB)
.venv/bin/python -m pip install pandas numpy   # one-off
bash scripts/fetch_historical.sh               # (TODO: lift the inline pull from session)

# 2. Run analysis
.venv/bin/python scripts/shabbat_correlation.py
# → writes analysis/headline-3way.csv + per-station CSVs