Measuring the Quality of Local Transit Connections to GO Rail Stations in the Toronto Area.
Slides to be posted.
See more at: https://github.com/EddyIonescu/gtfs-connect
I'm uniquely experienced in transit planning and software engineering.
I'm a recent Computer Science graduate from the University of Waterloo with a passion for transit. I have experience making big data and experimentation more accessible at Yelp and RideCo having worked on such internal tools on their software engineering teams.
As a Transit Planner at Metrolinx and the TTC I developed metrics and tools that helped planners gain more context and insights into route crowding, performance, and connectivity, many of which continue to be used and maintained. I presented some of my work at TransitData 2020, which you can see below.
You can reach me at eddyionescu@gmail.com
Measuring the Quality of Local Transit Connections to GO Rail Stations in the Toronto Area.
Slides to be posted.
See more at: https://github.com/EddyIonescu/gtfs-connect
Using APC and PRESTO Data to Drive GO Bus into the Future. See the slides here: http://eddyionescu.com/go-bus.pptx
And try out the Transify application for yourself at http://transify.ca/demo
Fare Integration Proposal winner of MTC Request for Transformative Projects alongside SPUR and Seamless Bay Area.
Submitted in August 2018 the Fare Integration component of Move Bay Area was a finalist alongside SPUR and Seamless Bay Area. In February 2020 the Fare Integration proposal we joinly submitted in November 2018 was chosen as the winner of the competition: https://www.masstransitmag.com/technology/fare-collection/press-release/21126584/metropolitan-transportation-commission-mtc-mtc-announces-integrated-transitfare-system-earns-nod-as-top-transformative-project
You can read more about Move Bay Area and the maps I developed for it here:
https://medium.com/@eddyionescu/envisioning-the-future-of-bay-area-transit-be2731978331