Ricardo Zapata

Transportation & Geospatial Data Science

Hi I’m Ricky, I’m passionate about Mobility Justice and using the tools of data science to tell compelling stories about transit and equity! I’m nearing the end of my graduate school career and I’m excited to start showcasing my skills in transportation modeling, GIS & CyberGIS, data analytics & visualization, interactive visualization, and machine learning.

This is work from the Fall of 2021 but I hope to add more web-oriented dashboards and visualizations this spring as I continue to develop my skills and gain familiarity with web development.

Email: rzapat4@illinois.edu

Resume

Here I use K-nearest neighbors, Local Moran’s I, and Geographic Weighted Regression to explore the determinants of Pandemic rail ridership levels and their variation across the city

Here I collect and explore various Census Bureau datasets to talk about the potential mobility justice issues surrounding the City of Chicago’s Invest South/West initiative.

Subsetting a large dataset of all rideshare trips made in Chicago since 2018 , I explore the higher-than-average per capita usage starting and ending in a lower-income neighborhood on Chicago’s West side, a sign that continued in-person work and transit service disruptions could have resulted in a financial burden in the form of rideshare spending

A paper I’m honored to be a part of with my advisor Julie Cidell and my co-advisees José Acosta-Córdova and Andrea Pimentel Rivera