This repository consists of several visualizations used to analyze and evaluate Pittsburgh's HealthyRide Bike Sharing Program. The datasets used can be found in the data folder. Code for the visualizations created can be found in the Notebooks folder. Images of all visualizations I created can be found in the Results folder.
The visualization on the left maps the relationship between the location of bike stations and the 2015 median household income by Census Tract. The visualization on the right maps the relationship between the location of the bike stations and the poor housing condition metric by Census Tract. The poor housing condition metric was used to infer the socioeconomic status of a neighborhood.
2021
- Spatially Sensitive Learning Algorithm to Mitigate Discrimination in Resource Allocation
- Presenation on April 9th, 2021 at the 15th Annual ACC Meeting of the Minds
- Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems
- Presenation on January 8th, 2021 at the AI for Social Good Workshop at the International Joint Conference on Artificial Intelligence
2020
- Evaluating the Fairness of Bike Sharing Programs using Geospatial Analysis
- Computational Sustainability Doctoral Consortium October 2020
- Civic Hacking & Urban Informatics: Mapping Data with GeoPandas
- PyOhio July 2020
This repository is consistently under construction and new visualizations are being added when I find time. If you have any comments, suggestions, or feedback please reach out to me!
Upcoming
- A config.yml file