Got a Ride? — Analyzing the Equity of Ridesharing in Chicago
Link to the (Interactive!) Project
Fall 2021
Intro to Urban Data Informatics
Columbia GSAPP
Link to the (Interactive!) Project
Fall 2021
Intro to Urban Data Informatics
Columbia GSAPP
Ridesharing apps like Uber and Lyft have been a game-changer in the transit functions of cities. Being a booming business in Chicago, with the number of registered vehicles used for companies like Uber and Lyft quadrupling over a three-year stretch (Wisniewski, 2018), ridesharing has become an important part of the transportation landscape.
But are these facilities distributed across the city in an equitable manner?
A possible hypothesis is that many of these services are offered at a higher extent in high-income and perhaps predominantly white neighborhoods. The Chicago Transportation Network Providers (TNP) dataset is a comprehensive dataset consisting of data from all the rideshare companies in Chicago. This study analyses this dataset to test the hypothesis.
But are these facilities distributed across the city in an equitable manner?
A possible hypothesis is that many of these services are offered at a higher extent in high-income and perhaps predominantly white neighborhoods. The Chicago Transportation Network Providers (TNP) dataset is a comprehensive dataset consisting of data from all the rideshare companies in Chicago. This study analyses this dataset to test the hypothesis.
Project by Kirthi Balakrishnan
Course by Professor Boyeong Hong