Traviz —LA

Data-driven News App

Traviz was a year-long collaboration beginning in 2017 between USC Annenberg School of Journalism and USC Viterbi School of Engineering and Computer Science

 

Together with a team of data scientists, news designers, and a few reporters, I built a data-driven news application to predict Los Angeles’s traffic.

 

The tool's objective was to help Los Angelinos plan their trips in advance to avoid frustrating LA traffic jams, while also providing new insight into street data collected by the city of Los Angeles.

 

Through data exploration, data modeling, UX interviews, reporting, and design research, we developed a functional platform that became the foundation for what is now the data-driven journalism project Crosstown.

My role in the project:

  • User Interviews

  • Data analysis

  • Data visualizations 

  • UX interviews

  • Data-driven Reporting

Year:

2017/2018​

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You can dive deep into this project by reading the following blogs:

Looking at journalism from a different perspective

Breaking Down the Silo Mentality

Crosstown

If you are interested in the code, here is the github repo

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