01551564

Component

Bikeshare programs are an increasingly popular means for cities to provide alternative transportation for their residents and visitors. In Spring 2014, San Francisco’s Bay Area Bikeshare and numerous other American bikeshare systems released comprehensive rental records, generally spanning several months and hundreds of thousands of trips, which allow researchers to study system use in more detail than is often possible with urban bicycling. Bay Area Bikeshare’s data release covers the first six months of the system’s operation and formed the basis of this research. This paper seeks to differentiate between the different general use patterns that emerged from the bikeshare data by analyzing rental start times, aggregated trip azimuths, and logit regression. The results suggest that most San Francisco bikeshare usage falls into one of two categories: weekday commute travel focused on transit stations and office buildings, and mid-day and weekend leisure travel that was much less restricted by time and focused on areas with denser and more diverse opportunities. Additionally this paper finds that overage fees, which correspond closely to trips by non-subscribers, account for a large share of bikeshare system revenue.

This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values.

01550057

15-0183

English

0000-0001-6324-6380

0000-0003-4007-7048

20p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Bicycle commuting; Bicycle travel; Bicycles; Data analysis; Logits; Recreational trips; Revenues; Travel behavior; Vehicle sharing

San Francisco (California); San Francisco Bay Area

Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-0183

TRIS, TRB, ATRI

Dec 30 2014 12:12PM