====== Bikes ======

  * [[https://github.com/BetaNYC/Bike-Share-Data-Best-Practices/wiki/Bike-Share-Data-Systems|List of Bike Share data portals / GitHub]]
  * [[https://bikedataproject.org/|Bike data project]]
  * Bay Area Bike Share: [[https://www.kaggle.com/benhamner/sf-bay-area-bike-share|San Francisco Bay Area - Kaggle challenge]], [[http://www.bayareabikeshare.com/open-data|Open data]], [[https://www.kaggle.com/c/bike-sharing-demand|challenge]]
  * Hubway: [[http://hubwaydatachallenge.org/|Boston - data challenge]]
  * [[https://www.citibikenyc.com/system-data|New York]], [[http://toddwschneider.com/posts/a-tale-of-twenty-two-million-citi-bikes-analyzing-the-nyc-bike-share-system/|Analysis / GitHub]], [[https://github.com/toddwschneider/nyc-citibike-data|Data]]; [[https://www.ocf.berkeley.edu/~adityakh/2015/11/16/bike-stations-in-new-york/|Stations]], [[https://www.ocf.berkeley.edu/~adityakh/2015/12/14/analysis-of-the-new-york-city-bike-share-system/|Analysis]]; [[https://www.fastcoexist.com/1682698/how-were-visualizing-new-yorks-new-bike-sharing-system|Vis]]
  * Divvy: [[https://www.divvybikes.com/data|Chicago]], [[https://www.divvybikes.com/resources|Info]]
  * Indego: [[https://www.rideindego.com/about/data/|Philadelphia]]
  * Capital: [[https://www.capitalbikeshare.com/trip-history-data|Washington, D.C.]]
  * Healthy Ride: [[https://healthyridepgh.com/data/|Pittsburgh]]
  * Budapest: [[https://dms.sztaki.hu/bubi/#/app/home|Challenge]], [[https://dms.sztaki.hu/bubi/#/app/dataset|Dataset]] (not available), [[https://www.balabit.com/blog/the-mol-bubi-public-bike-sharing-system-analytics-challenge/|group]]
  * [[https://uclab.fh-potsdam.de/cf/|London, Berlin]]
    * [[https://tfl.gov.uk/info-for/open-data-users/|London]]; [[https://vartree.blogspot.si/search?updated-max=2014-10-17T10:13:00%2B01:00&max-results=3|Blog]], [[https://github.com/j-siddle/barclay-viz|GitHub]], [[https://tfl.gov.uk/info-for/open-data-users/our-open-data?intcmp=3671|open data]]
    * [[https://www.callabike-interaktiv.de/|Berlin]]
  * [[http://blog.revolutionanalytics.com/2013/07/bike-sharing-in-100-cities.html|Bike sharing in 100 cities]],[[http://ramnathv.github.io/bikeshare/|Visualizing Bike Sharing Networks]], [[https://github.com/ramnathv/bikeshare|GitHub]]
  * [[http://nabsa.net/|North American Bikeshare Association (NABSA)]], [[http://nabsa.net/international-bike-share-database/|Database]], [[https://github.com/NABSA/gbfs|gbfs - open standard]]
  * [[https://data.gov.uk/dataset/cycle-routes|Description of the cycle path network, UK]]
  * [[http://toddwschneider.com/posts/analyzing-1-1-billion-nyc-taxi-and-uber-trips-with-a-vengeance/|Taxi and Uber]]

  * Shin Chin: [[http://blog.nycdatascience.com/student-works/detecting-anomolous-events-in-washington-dc-bike-sharing-dataset/|Detecting Anomolous Events in Washington DC Bike Sharing Dataset]], 2016
  * [[http://urbanspatialanalysis.com/origins-destinations-visualizing-bike-share-trips/|Urban spatial analysis]], [[http://urbanspatialanalysis.com/portfolio/project-one/|Predict]]
  * [[http://www.comeetie.fr/projects.php?| Etienne Côme: Projects]]

  * [[http://velo-citta.eu/news/|Velo-citta / news]]
  * L Zhang, S Tang, Z Yang, J Hu, Y Shu. Demo: Data Analysis and Visualization in Bike-Sharing Systems. 2016
  * Vogel, Patrick: [[http://www.springer.com/gp/book/9783319277349|Service Network Design of Bike Sharing Systems]], 2016
  * [[http://oobrien.com/bikesharemap/|Maps]]; [[http://www.scribblelive.com/blog/2013/08/28/visualizing-bike-share-programs/|Vis1]]
  * [[http://mescal.imag.fr/membres/nicolas.gast/news/2014/10/10/intership-BSS/index.html|Internship]]; [[http://humnetlab.mit.edu/wordpress/teaching/|Transportation systems]]; [[http://vlsstats.ifsttar.fr/|Analysis]]
  * [[https://arxiv.org/pdf/1908.09440.pdf|Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models]]
  * [[https://www.researchgate.net/publication/336173053_Study_on_Clustering_of_Free-Floating_Bike-Sharing_Parking_Time_Series_in_Beijing_Subway_Stations|Study on Clustering of Free-Floating Bike-Sharing Parking Time Series in Beijing Subway Stations]]
  * [[https://sustainabledevelopment.un.org/content/documents/4803Bike%20Sharing%20UN%20DESA.pdf|Bike sharing]]
  * https://github.com/BuzzFeedNews/bikeshares
  * https://github.com/BuzzFeedNews/bikeshare-data-sources


===== Data URLs =====


  * https://github.com/BetaNYC/Bike-Share-Data-Best-Practices/wiki/Bike-Share-Data-Systems
  * https://github.com/BetaNYC/Bike-Share-Data-Best-Practices
  * https://www.kaggle.com/datasets/ajohrn/bikeshare-usage-in-london-and-taipei-network
  * https://www.kaggle.com/datasets/imakash3011/rental-bike-sharing
  * https://www.kaggle.com/datasets/sujan97/citibike-system-data
  * https://www.kaggle.com/datasets/lakshmi25npathi/bike-sharing-dataset
  * https://www.kaggle.com/datasets/ioexception/london-cycles
  * https://www.kaggle.com/datasets/contactprad/bike-share-daily-data
  * https://www.kaggle.com/datasets/archit9406/bike-sharing
  * https://www.kaggle.com/datasets/kyle007hendricks/cyclisticdata
  * https://www.kaggle.com/datasets/dominikdownarowicz/cyclistic-bike-share-data-112021-112020
  * https://www.kaggle.com/datasets/trnguyen1510/cylistic-trip-data
  * https://www.kaggle.com/datasets/marikakuprava/cyclistic-bikeshare-datasets-1120-1021
  * https://www.kaggle.com/datasets/shelvigarg/rental-bike-demands-on-hourly-and-daily-basis
  * https://www.kaggle.com/datasets/kevinbi/city-of-toronto-cycling-traffic-and-bikeway-data
  * https://www.kaggle.com/datasets/fesdywilleam/case-study-cyclistic-bikeshare
  * https://www.kaggle.com/datasets/sylviaawuor/cyclistic-bikeshare
  * https://www.kaggle.com/datasets/zhinanli/cyclisticbikeshare-divvytripdata-202011202110
  * https://www.kaggle.com/datasets/infomanier/bike-sharing-dataset
  * https://www.kaggle.com/datasets/victorsalim/how-does-a-bikeshare-navigate-speedy-success
  * https://www.kaggle.com/datasets/marioazevedo/cyclistic-bikeshare
  * https://www.kaggle.com/datasets/marklvl/bike-sharing-dataset
  * https://www.kaggle.com/datasets/geometrein/helsinki-city-bikes

  * https://www.kaggle.com/datasets/mateuscco/sao-paulo-transportation-service
  * https://www.kaggle.com/datasets/agam250/delhi-metro-network-map-data
  * https://www.kaggle.com/datasets/gregorkrz/szdelays
  * https://www.kaggle.com/datasets/bvc5283/dc-taxi-trips
  * https://www.kaggle.com/datasets/asjad99/rome-taxi-data-subset