Explore how people move through cities.
Interactive Kepler.gl maps built from open commuting datasets such as LODES, OD surveys, and GTFS feeds.
🔗 Live site: https://sungyol2.github.io/Commuting_Patterns/
| City | Data Source | Description | Live Link |
|---|---|---|---|
| Seattle | U.S. Census LODES8 2022 | Home → Work flow visualization (block → tract aggregation) | Open map → |
| São Paulo | OD Survey | Metropolitan commuting network visualization | (coming soon) |
| Portland | TriMet GTFS | Transit service animation | (coming soon) |
- Python: GeoPandas, Pandas, Matplotlib — data wrangling & aggregation
- Kepler.gl: Interactive 3D visualization
- QGIS: Geoprocessing and spatial analysis
- GitHub Pages: Web hosting and version control
Commuting_Patterns/
├─ index.html # Landing page for all maps
├─ Seattle/ # Kepler export + code + data
├─ Sao_Paulo/ # (planned)
├─ Portland/ # (planned)
├─ assets/ # Preview images for social cards
└─ README.md
Sun-Gyo Lee
Urban Planner · Data Analyst · Geospatial Storyteller
📍 Seattle, WA | 🌐 LinkedIn
This project is open-source under the MIT License.