Uber's Wheelchair Accessibility

This repository contains the code used to scraping the Uber API for a two-week period and the subsequent data analysis exploring the wheelchair accessibility of Uber rides in NYC.

Files Contained

1. getUberData.py

This script was used to collect data from the Uber API.

Dependencies:

• https://apscheduler.readthedocs.org/en/latest/
• https://github.com/kennethreitz/grequests

2. config.conf

This file is used in conjuction with getUberData.py.

Setup:

• Add comma-separated Uber API keys in config.conf
• The list of locations to collect data is inputted as json objects of the form {"location_id": <int>, "latitude": <float>, "longitude": <float>}
• The output data file is called results.csv
• The time is currently set to 3600 seconds, or a request to the API every hour
• Important note for rate limiting: the requests for time and price count as two separate API calls

This script runs indefinitely by using a command like: nohup python -u getUberData.py > nohup.txt &

3. parseLocations.py

This script takes the geojson output of a QGIS file and automatically updates the config.conf file used to scrape the Uber API.

Setup:

• Change the input and output files to desired locations

4. pointpoly.geojson

This is used for the QGIS project.

5. centroidsNYC.qgs

This is a QGIS project containing the shapefiles for the 195 NTA neighborhoods in NYC.

Setup:

• Run realcentroid plugin to find centers of each neighborhood with valid results for concave polygons
• Use Processing Toolbox to run algorithm to generate fixed random points inside polygons (if sampling each neighborhood in multiple different locations)

6. nycnta.json

This contains the shapefiles for the 195 NTA neighborhoods in NYC, downloaded from https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-nynta.page

7. ntas.pdf

This contains the descriptions for the 195 NTA neighborhoods in NYC, downloaded from https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-nynta.

8. index.html

This contains the code (html, css, js) to create the d3 map visualizations of price and time across NYC

Setup:

• Change variable names and domain to either Percent_Dollar_Diff or Percent_Time_Diff based on desired map (column headers from nyc.csv)
• Uncomment mouseover code for hoverable tooltips over each neighborhood

9. nyc.csv

This contains the mapping of NTA and Borough Names, as well as the price and time data used by d3 to color the NYC maps

10. nycnta.json

This contains the shapefiles for the 195 NTA neighborhoods in NYC, downloaded from https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-nynta.page and it is used by d3 to generate the NYC maps