About This Project
GEOG458 — Group 14 | University of Washington
Project Overview
This GeoNarrative was developed to visualize the intersection of urban mobility and environmental health in the Seattle Metropolitan area. Washington is renowned for its lush, green landscapes - but how does Seattle's bustling urban transportation network affect the environmental conditions of surrounding neighborhoods?
Using 2022 traffic flow counts and air quality monitoring data, we explore the spatial relationship between road movement intensity and pollution exposure across Seattle neighborhoods.
Meet the Team
Tinna Mokaramanee
- HTML layout+ geonarrative page layout
- JavaScript for the geonarrative scenes and its transitions
- AQI database calculations
Nicolas Covarrubias-Flores
- Obtained traffic flow dataset
- Filtered pollution datasets to only include Seattle-area stations
- Converted both pollution datasets (.csv) to a readable format (.GeoJSON)
Anthony Tran
- Analysis/Text for each Data Source
- Led prototyping and styled Footer and Titlecard
- Helped coordinate team workflow, communication, and task distribution
Ken Thuleeratanarom
- CSS layout and styling
- User interface and navigation bar
- Java script layout for map and storyboard
Data Sources
-
Seattle Traffic Flow Counts
Historical Study Data | 2022 Annual Report -
Washington Air Quality Advisory
WA Department of Ecology Monitoring Network
Tools & Methods
- Mapbox GL JS for interactive web mapping
- Scrollama for scroll-driven narrative
- Python for data processing and GeoJSON conversion
- Washington Ecology air monitoring network data (2022)
- Seattle Open Data Portal traffic counts (2022)
Limitations
This analysis is limited by the availability of air quality monitoring stations, which are not evenly distributed across Seattle. Traffic data is limited to Seattle city limits and does not capture regional commuter patterns from surrounding counties. Wind patterns and emission source types were not factored into this analysis.