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Title:

Linking Bikeshare Trips to Light Rail Use in the Minneapolis–St. Paul Region

Accession Number:

01660038

Record Type:

Component

Abstract:

Bikeshare systems have frequently been cited as a way to increase transit use by providing transit users with a convenient means to access their final destinations. This study focuses specifically on the Minneapolis-St. Paul, Minnesota, light rail system and the Nice Ride bikeshare system. Data from the 2016 bikeshare season and actual train arrival information from Metro Transit was used to examine how the number of bikeshare checkouts changes in relation to the time since the last train arrival at both a primary group of bikeshare stations, located near light rail stations, and a control group of bikeshare stations. This study fits a negative binomial model for the number of bikes checked out with month, day of week, station, and time since last train arrival as categorical predictor variables and time of day as a continuous predictor variable. Including time since last train arrival as a categorical variable improved the model fit over the baseline model and this variable demonstrated a significant and positive effect on the number of bikes checked out, particularly in the first four minutes since the last train arrival. These effects were not observed in the control group, indicating that time since last train arrival is correlated with the number of bikes checked out. This study highlights the potential of using a data-driven approach to understanding the relation between bikeshare and light rail use, further informing planners and engineers of their synergistic benefits.

Supplemental Notes:

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

Report/Paper Numbers:

18-04711

Language:

English

Authors:

Barber, Eric
Kopca, Cole
Starrett, Rochelle

Pagination:

5p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Identifier Terms:

Uncontrolled Terms:

Subject Areas:

Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Policy; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04711

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:09AM