Comments (7)
@operte Not yet, sorry. I aim to have it up by end of October, and will ping here when it's done.
from paris-bikes.
@Liyubov I'll try not to do this too much, but ... network centrality measured using osmnx
and networkx
will be generic, and not particularly accurate. An accurate measure of centrality of the actual bicycle network based on accurate bicycle-specific routing algorithms can be obtained with the dodgr_centrality()
function.
- Disclaimer#1: That's self-promotion of my own software π
- Disclaimer#2: It's R, and not python.
- Non-disclaimer: the algorithm is more efficient than the
networkx
version, and will easily scale to every street segment in Paris.
from paris-bikes.
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
from paris-bikes.
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.
from paris-bikes.
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.
from paris-bikes.
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? :)
from paris-bikes.
@mpadge Any news on that blog post? :)
from paris-bikes.
Related Issues (20)
- Streaming data from velib stations HOT 4
- Systematic review for best practices in cities HOT 4
- Collect citizen data on missing bike parking HOT 6
- Something like direkt.bahn.guru but for vΓ©lib HOT 6
- Using insights from recent article about improving bike infrastructure in Paris HOT 3
- Setup requirements management HOT 1
- Amsterdam bicycle planning resources HOT 1
- Collecting topics for next meeting with City of Paris HOT 2
- DVC remote isn't working HOT 5
- Calibrate variables for IRIS model HOT 3
- Create data overview for IRIS model HOT 8
- Blog article(s) for CorrelAid blog [Project outcomes for community] HOT 3
- Open Online Data Meetup [Project outcomes for community] HOT 3
- Agreeing on a deliverable (web app?) for parking demand index HOT 14
- Documentation HOT 1
- App issues to resolve until presentation HOT 14
- Host app HOT 5
- Normalize metrics by area HOT 3
- Scheduled data pipeline HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. πππ
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from paris-bikes.