Modeling Station Placement for the Bay Area Bike Share System

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Modeling Station Placement for the Bay Area Bike Share System PROJECT OVERVIEW Bay Area Bike Share is a regional bicycle sharing system located in five cities: San Francisco, Palo Alto, Redwood City, Mountain View, and San Jose. The San Francisco Municipal Transportation Agency (SFMTA) is interested in understanding what factors are most influential in determining individual station usage within San Francisco. Improved efforts in station planning will help users access a station where and when they want to. If access to the system is improved, other non-users may be attracted to the system and ridership can potentially increase.

EXISTING CONDITIONS Number of Trips Beginning from Each Station in San Francisco Number of Trips Beginning at Each Station in San Francisco Bottom 5 stations with fewest check-outs & Top 5 stations with most check-outs

!

0

0.125

0.25

0.5 Miles

Embarcadero at Sansome

San Francisco City Hall Washington at Kearney

925

!

Bottom 5 stations with least check-ins & Top 5 stations with most check-ins

[

!

Golden Gate at Polk

1,248

Yerba Buena Center of the Arts

Yerba Buena Center of the Arts

1,673

Davis at Jackson

1,674

Market at Sansome

!

!

! Market at Sansome

!

3,667

!

!

4,031

Golden Gate at Polk

!

!

San Francisco Caltrain

5,203

San Francisco City Hall

1,636

Market at Sansome

!

Powell Street BART

Market at Sansome

!

4,999

!

Powell Street BART

!

Golden Gate at Polk

!

5,249

!

San Francisco Caltrain

5,607

Embarcadero at Sansome

5,629

! !

!

!

4,097

!

!

!

!

!

!

Yerba Buena Center of the Arts

!

!

!

San Francisco City Hall

!

!

!! San Francisco Caltrain (Townsend at 4th)

6,467

!

!

!

! Harry Bridges Plaza

!

!

Harry Bridges Plaza (Ferry Building)

!

!

!

! Harry Bridges Plaza

1,555

Washington at Kearney

Yerba Buena Center of the Arts

San Francisco City Hall

4,794

Clay at Battery

!

!

San Francisco Bay Area

Clay at Battery

!

!

! Embarcadero at Sansome

1,522

[

!

!

!

0.5 Miles

!

1,196

Washington at Kearney

!

!

!

!

!

Market at 4th

Market at 4th

!

!

Washington at Kearney

0.25

1,082

Harry Bridges Plaza (Ferry Building)

Golden Gate at Polk

0.125

!

Davis at Jackson ! !

0

Embarcadero at Sansome

San Francisco Bay Area

! 1,128

Number of Trips Ending at Each Station in San Francisco Number of Trips Ending at Each Station in San Francisco

!

!

!

San Francisco Caltrain (Townsend at 4th)

!

Jennifer Wong March 7, 2014

Jennifer Wong March 7, 2014

Trips Taken: From August to November 2013, over 80,000 trips have been made using Bay Area Bike Share and 70,000 of those trips originated in San Francisco. Average daily trips per month are within the range of 500 and 900. When spread across the 34 bike share stations in San Francisco, each station serves between 18 and 25 daily trips. When spread across the number of bicycles in service, which varies day to day, each bicycle serves between 1 and 2 daily trips. Trip Duration: From August to December 2013, the average length of bike share trips by time has decreased, perhaps as people adjusted to the system’s pricing strategy and became more aware of their personal travel time. Time of Day Traveled: People are using bikeshare at all hours of the day, but more people tend to use it during the morning and evening commute periods on weekdays. On weekends, ridership peaks at noon.

RESEARCH QUESTIONS

• How can planners locate bikeshare stations in San Francisco to maximize ridership? • What demographic, built environment, and bike sharing network characteristics are most influential in affecting individual station usage?

RESEARCH DESIGN Review of Strategies for Bicycle Sharing Suitability and Station Siting Review of Bicycle Sharing Demand Indicators (population, non-white population, median income, bikeways, colleges, parks, bus stops, etc.)

TAKEAWAYS • Future research may be improved by incorporating user survey results, network effects, and/or using different sets of independent variables. • Models may be constrained by data availability. • Moving stations may ultimately not be feasible due to streetscape and roadway constraints. • Cities have adapted bike share systems to the match their local context. San Francisco has unique characteristics that sets it apart from other cities, even the four other cities within the regional Bay Area Bike Share system.

Model for Station Ridership (multivariate regression)

Jennifer Wong University of California, Los Angeles Client: San Francisco Municipal Transportation Agency Faculty Chair: Brian D. Taylor April 2, 2014


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