Blog Feature

Big Data | Mobile | Transportation

Using Big Data to Design Bike Shares

June 21, 2016

Bike shares are riding a wave of popularity in the intermodal transit planning community. They are great because they help address several hot-button urban challenges simultaneously; for example, congestion, air pollution, “last mile” transit gaps, and even sedentary lifestyles. From 2004 to 2015, the number of bike share systems worldwide grew from 14 to 855 – that’s over 6,000% growth!1

However, there are still only 54 bike share systems1 across America’s 486 urbanized areas.2 That means there is plenty of room for expansion in the U.S. We wanted to find out how Big Data could play a role in this expansion.


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