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Analyse bicycle network using network measures #18
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@Liyubov I'll try not to do this too much, but ... network centrality measured using
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I just put here the data from the article https://github.com/CorrelAid/paris-bikes/blob/main/data/odmatrix_p_distances_final.zip article link is here https://www.sciencedirect.com/science/article/pii/S2590198222001099?via%3Dihub#appSB |
There are hourly count data at https://opendata.paris.fr/explore/dataset/comptage-velo-donnees-compteurs/ which can be used to calibrate cycling estimates throughout the network. The dataset is huge (just over 1GB), and contains counts from 98 stations, each one having an average of < 10,000 hourly counts. The data seem to be updated daily, with the version downloaded 17 Aug 22 finishing yesterday, and starting on 25-01-2021. That spans 537 days, making 12,888 hours, so not quite full hourly coverage from all stations, but close enough. |
I've finally managed to get an interactive map of cycling flows up at https://urbananalyst.github.io/paris-bikes/. It's just a proof-of-principle on an arbitrary scale from 0 to 5, but now that I've got that, I can easily start to include more realistic cyclilng behaviour and update as i go. |
Hey @mpadge this looks interesting. Can you tell us more about what we are seeing? You mentioned you are writing a blogpost about it. Is it ready yet? :) |
@mpadge Any news on that blog post? :) |
@operte Not yet, sorry. I aim to have it up by end of October, and will ping here when it's done. |
@dietrichsimon I remember that you looked into the network of bike lanes already
We can estimate the network centrality here
https://networkx.org/documentation/
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