Smart Mobility Group
I had end-to-end control of a data analysis project that studied the use of Uber and Lyft
Research
In this position, I worked with a PHD student to study the Uber and Lyft habits of Northeastern students, Faculty, and Staff. I found a grant for this project, obtained the necessary funding, created a survey, marketed it and amassed 2,000 responses. We then took this data and analyzed it to produce a paper describing our findings.
Key Findings
-We proved that younger people, those with more income, and less access to cars or bikes tend to use Uber/Lyft more.
-We found that older people, those with less income, and those with less access to cars or bikes use Uber/Lyft less.
-I used a GIS system to visualize where people in the Northeastern Community go when traveling by uber and Lyft.
-We studied the reasons people choose Uber and Lyft and were suprised by how many use it for regularly for everyday activities.
This is the poster that I presented to Northeastern at an undergraduate research fair.
And this is the paper we submitted to the TRB for the presentation in DC which we presented in Jan 2020.