Divvy bike-sharing is a complement to Chicago's existing transport system as well as a new transportation network. How are people using it as such?
This project takes the median travel time of Divvy trips taken in 2014 between every possible station pair and compares it to the same trip by public transportation. In most cases, Divvy trips are faster than public transportation, suggesting that its riders could be saving time replacing train, bus, or walking trips with Divvy trips.
Roll over a circle to see travel time/distance, the number of trips, and a map of the station pair. Select a station from the list to see only trips to and from that station.
Data Collection & Assumptions
Only station pairs with 10 or more trips and a savings of more than -10 minutes are displayed. This is to reduce the size of the dataset and remove outliers (e.g. lengthy tourist trips).
Transit trip duration and steps were calculated using Google Directions API between the latitude/longitude of station pairs. Transit directions are calculated for noon on a Monday. Walking directions are provided if Google could not find a faster trip by public transport.
Bicycle trip duration and distance is calculated as the median trip duration of all trips between the two listed stations. Trips by Divvy are generally longer than non-Divvy trips, as calculated by the Google Directions API.
Median travel times are more favourable than averages due to large disparities in trip duration between annual Divvy members and 24-hour passholders, who are assumed to be more recreational (tourist) users who ride more slowly. Calculating the median prevents outliers (people taking very long trips) from skewing the data.
Originally submitted for the 2nd Annual Divvy Data Challenge. Fork on GitHub.