====== Transport Flows ======

[[http://flows.transport.opendata.ch/]]

[[http://flows.transport.opendata.ch/|{{http://opendata.ch/wp-content/uploads/2012/04/flows.transport.opendata.ch_2-300x193.jpg}}]]


===== Project =====

The idea is to map public transportation flows in Switzerland. The focus is on visualizing the network of SBB CFF (trains, S-Bahn). This visualization was later animated and published by the NZZ: [[http://www.nzz.ch/aktuell/inland-sommerserie-schweizer-karten-interaktiv/sbb-fahrplan-pulsierender-verkehr-1.18129777|Die Eisenbahn, die nie ganz schläft]].

===== Purpose of the project  =====

  - Learning: Facts about the train network are revealed that are not obvious and surprise the consumer
  - Aesthetics: the result is visualized in a creative and innovative way and shows the dynamic of the train network
  - The visualization allows user interactions to have a deeper look into some details



===== Team =====
  * Benjamin Wiederkehr
  * Joel Bez
  * Sylke Gruhnwald
  * Dagmar Muth
  * Patrick Stählin
  * Patrick Zahnd
  * Ilya Boyandin
  * Thomas Preusse
===== Inspiration =====
  * www.swisstrains.ch
  * www.villevivante.ch
  * http://zugmonitor.sueddeutsche.de/#/30.03.2012-17:17/
  * http://www.newsorator.com/what-is-a-credit-card/

===== Data =====
swisstrains. The data consists of train-schedules and a mapping from single trains to tracks on a map. As the track-data has been traced from Google Imagery we don't consider this data Opendata. Getting the tracks from OpenStreetmap would be a nice project for another Hackday.


===== Solution =====

Demo: http://flows.transport.opendata.ch/

Source: https://github.com/interactivethings/swiss-transport-flows/

Resource: http://www.fixithere.net/dvla-contact-number/


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{{:project:transport:2012-03-31_1515_transportation_flows_top_cities.png?nolink|}}

{{:project:transport:2012-03-31_1506_transport_biggest_cities.png?nolink|}}

===== The following parameters were of interest for us =====
Time
  * Departure
  * Arrival
  * Speed: average speed and speed changes on a train’s track
Track
  * A train’s track on the map
  * Stops per track
Train capacity
  * Degree of capacity utilized (is the train crowded or not?)
  * Length of trains => number of passengers
Stations
  * Degree of tracks occupied (per hour, per day)
  * Stations as intersections (how important is a station for the network?)
Train types
  * Different types: IC, S-Bahn, Interregio etc.
  * Name of a specific train (IC123)
Delays
  * Per train
  * Per track
  * Waiting times of trains in a station

{{tag>status:live transport dataviz}}