ACE Insights

Website URL

https://mhc-datathon.github.io/DJI/

Intro Video

https://mhc-datathon.github.io/DJI/intro_video.mp4

Summary

• Interactive SvelteKit site that visualizes MTA Automated Camera Enforcement (ACE) impacts on bus speeds and violation patterns across NYC.
• Map-based storytelling using MapLibre + Deck.gl, with preprocessed datasets produced from main.ipynb.
• Focus: CUNY campus corridors, facility correlations (precincts, USPS, health), pre/post ACE speed comparisons, and violation-status spatial analysis.

Datasets Used

• MTA Bus Automated Camera Enforced Routes: Beginning October 2019
• MTA OBA API (via trainstat.us)
• MTA Bus Speeds: 2015-2019
• MTA Bus Speeds: 2020 - 2024
• MTA Bus Speeds: Beginning 2025
• MTA Central Business District Geofence: Beginning June 2024
• City University of New York (CUNY) University Campus Locations
• Health Facility Map
• Police Precincts
• USPS Facilities
• Borough Boundaries

Fetch USPS facilities:

curl -G \
  --data-urlencode "where=1=1" \
  --data-urlencode "geometry=-74.25909,40.477399,-73.700272,40.917577" \
  --data-urlencode "geometryType=esriGeometryEnvelope" \
  --data-urlencode "inSR=4326" \
  --data-urlencode "outSR=4326" \
  --data-urlencode "outFields=*" \
  --data-urlencode "f=geojson" \
  "https://services5.arcgis.com/TBEibzxOE0dzXUyc/arcgis/rest/services/USPS_Facilities_FC_20250221_1/FeatureServer/0/query" \
  -o usps_nyc.geojson

Data Setup

1. Run uv sync to install dependencies
2. Create a data/ directory and copy the required datasets to that folder.
3. Open notebook and run all cells.
4. Run ./generate_pmtiles