This summer research evaluated Uber’s coupon program for low-income populations living near Pittsburgh using spatial analysis tools such as Folium, Google Maps Geocoding API, and Google Maps Directions API to analyze participants’ geospatial trajectories.
This zip file contained all of raw data such as GPS coordinates and phone log files collected from an annoymous Uber user SG00124. Data analysis was done based on this.
The main program filtered dirty data, unpacked useful data, converted pick-up and drop-off addresses of Uber trips into latitude and longitude coordinates via the Google Maps Geocoding API to call the Google Maps Directions API for suggested routes, and created visual representations of geospatial trajectories.
The sample output returned by requesting Google Maps API, used for testing purpose.