We wonder if admin ♀️♂️ in the @CityofEdmonton's Infrastructure & @YEGclimate divisions or Urban Planning Cmtte have read this paper: "Data-driven strategies for optimal bicycle network growth" (Royal Society Open Science). royalsocietypublishing.org/doi/10.1098/rs… #yegbike #change4climate
Some key take-aways:
1) Data-driven algorithms can show how/where to consolidate bicycle network components (eg; disconnected/fragmented bike lanes) into connected networks to improve efficiently sustainable 🚲 transportation. /2
1) Data-driven algorithms can show how/where to consolidate bicycle network components (eg; disconnected/fragmented bike lanes) into connected networks to improve efficiently sustainable 🚲 transportation. /2
2) Their bike infrastructure algorithms rapidly improve connectedness & directness of a 🚲 network. Compared with baselines, the research shows value of growing a 🚲network on a *city-wide scale* rather than randomly adding local bicycle infrastructure. /3
3) Here's the 🗝️ if a City Manager wants more bang for their $, while reducing carbon footprints (@YEGclimate):
Improving the *connectivity* of bicycle routes improves not only the network itself, but *also promotes the use of bicycles as means of transportation in a city*. /4
Improving the *connectivity* of bicycle routes improves not only the network itself, but *also promotes the use of bicycles as means of transportation in a city*. /4
Finally, kudos to researchers Orozco, Battiston et al, for making their data & code #OpenAccess:
•Code in GitHub: github.com/nateraluis/bic…
•Code archived in Zenodo: doi.org/10.5281/zenodo…
•Data in Harvard Dataverse: doi.org/10.7910/DVN/GS…
🚲📊🌐 /5/end
•Code in GitHub: github.com/nateraluis/bic…
•Code archived in Zenodo: doi.org/10.5281/zenodo…
•Data in Harvard Dataverse: doi.org/10.7910/DVN/GS…
🚲📊🌐 /5/end
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