Hacknight #476
From Bacteria to Bikes – Quantitative Cycling Research in Toronto
with Madeleine Bonsma-Fisher
Recording
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After a PhD in biophysics, Madeleine Bonsma-Fisher turned her hobby into her job as a data scientist quantifying the impacts of cycling infrastructure in Canadian cities. Join her to discuss advocacy, citizen science, and the latest research on cycling in Toronto.
Speakers
Madeleine Bonsma-FisherDr. Madeleine Bonsma-Fisher is a Data Sciences Institute Postdoctoral Fellow at the University of Toronto studying how safe cycling networks influence the destinations people can access by bicycle in Canadian cities. She is a co-founder of UofT Coders, a group for graduate students to teach each other programming skills in a supportive peer environment.
Post Presentation Notes:
- I mentioned open code to calculate Level of Traffic Stress yesterday - Madeleine’s python code that calculates LTS using Open Street Map data https://github.com/mbonsma/LTS-OSM/.
- My code is modified from Bike Ottawa’s great LTS map, and they also have a route planner based on LTS: https://maps.bikeottawa.ca/planner/web/
- People For Bikes in the US uses a version of Level of Traffic Stress to do their city rankings: https://cityratings.peopleforbikes.org/about/methodology