01623033

Component

Bikesharing has grown in popularity around the world in recent years. While some have studied the determinants of trip generation at bikesharing stations, little is known about the types of trips that users make. This paper examines the frequency of trips between origin-destination pairs during three months in 2015 on New York City’s Citi Bike system. Findings suggest considerable variation across user types, across months, and across times of day. Principal findings indicate that bikesharing is used for transit access and egress during rush hours, and that stations located along the same high-quality bicycle route see far more trips than do other station pairs. Casual users complement subscribers’ usage by using bicycles more frequently during midday and the evening, and between stations characterized by nearby recreational land uses. Loop trips to and from the same station also occur and are likely recreational trips. The data analyzed is essentially a form of “big data”. That is, large data sets that are ubiquitously collected. The analysis suggests that in this case, “big data” that lacks the socio-economic data commonly collected and used in travel analysis can provide insights useful to planners.

This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation.

01618707

17-00716

English

17p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Bicycles; Origin and destination; Travel behavior; Trip purpose; Vehicle sharing

Citi Bike

Big data

New York (New York)

Pedestrians and Bicyclists; Planning and Forecasting

Transportation Research Board Annual Meeting 2017 Paper #17-00716

TRIS, TRB, ATRI

Dec 8 2016 10:09AM