Divvy.Vision is an open-source viewer of 2014 origin and destination trips of Chicago's Divvy bike share program, and an entry for the Divvy Data Challenge 2015.
It aims to better understand rider mobility by visualizing trips between stations with hourly height curves representing trip length, and daily flow from a selected neighborhood with a map-coupled chord diagram.
Major features of the visualization are outlined below:
1) Find 2014 daily & hourly origin-destination trip data with the sliders. Taller curves = longer trips.
2) View daily frequency of trips between two neighborhoods with the chord diagram to the right.
3) Highlight neighborhoods to see flow from a selected neighborhood. Brightness = more trips.
This visualization uses a dockerized Cassandra database for storage and querying, Cesium for 3D GIS mapping, CartoDB Positron for basemap tiling, d3 for chord diagrams, jsTween for sliders, Nodejs for serving of content, and Turf for server-side GIS operations.
Try out the visualization yourself at Divvy.Vision or learn more about at the github repository here: github.com/mattshax/divvyvision