This repo contains the data and code for our ASSETS'22 ‘The Future Of Urban Accessibility’ workshop submission entitled "A Pilot Study of Sidewalk Equity in Seattle Using Crowdsourced Sidewalk Assessment Data" by Chu Li, Lisa Orii, Michael Saugstad, Stephen J. Mooney, Yochai Eisenberg, Delphine Labbé, Joy Hammel, and Jon E. Froehlich .
Please cite this dataset as:
Li, C., Orii, L., Saugstad, M., Mooney, S. J., Eisenberg, Y., Labbé, D., Hammel, J., Froehlich, J. E. (2022). A Pilot Study of Sidewalk Equity in Seattle Using Crowdsourced Sidewalk Assessment Data. UrbanAccess 2022. 14 pages.
You can run the analysis notebooks locally using Jupyter Notebook and the Anaconda environment.
- 01-project-sidewalk-labels: contains sidewalk labels retrieved from Project Sidewalk on 2022/08/17. API request: https://sidewalk-sea.cs.washington.edu/v2/access/attributes?lat1=48.1&lng1=-122.6&lat2=47.512&lng2=-122.226&filetype=geojson
- 02-seattle-sidewalk: contains Seattle’s sidewalk geometry data. Retrieved from Seattle’s Open Data Portal on 2022/06/28.
- 03-block-group-geometry: contains census block group geometry data. Retrieved from Seattle’s Open Data Portal on 2022/06/28.
- 04-socio-economic-data: contains data from 2019 American Community Survey (ACS) 5-year Estimates. Retrieved from Census Bureau Data on 2022/09/07.
- Socio-economic-data-processing.ipynb: contains analysis script for processing socio-economic dataset.
- Access-score-calculation.ipynb: contains script for calculating access score per sidewalk and per neighborhood.
- Correlation-analysis.ipynb: contains script for correlation analysis between sidewalk quality and socioeconomic factors.