Bike Facilities

Maintain Bike share usage above 15000 Total Trips through December 2016

This goal is measured by tracking Bike share usage in Total Trips.Explore the data
Total Trips
Final
15,000Total Trips
Dec 2016 Target
Goal Period ended December 2016

            What is this indicator?

            Breeze is the City of Santa Monica’s new public bike share program built to empower personal mobility, heighten livability, augment existing transit, stimulate economic growth, and promote an active and healthy lifestyle for residents and visitors in Santa Monica. The 500-bike system launched in November, 2015 and includes 75 hubs in convenient locations through the city. This indicator measures bike share usage by the number of trips.

            Why is it important?

            Getting around by bike offers many health, environmental and community benefits:

            • A quick and convenient way to get around the city.
            • A healthy and sustainable form of transit that is friendly to the environment.
            • A great way for visitors to experience the oceanfront vistas and shopping corridors that make our city a great place to live, work and play.
            • A fun way to embrace an active lifestyle.
            • A means to reduce traffic congestion, mitigate traffic and enliven commutes.

            How are we doing?

            Over 4,200 members of the new Breeze Bike Share logged more than 15,800 trips in the first month and a half of the program (November 12-December 30, 2015) – saving an estimated 35,116 lbs of carbon emissions. As of December 30, 2015, Breeze users had ridden over 34,000 miles and burned an estimated 1.6 million calories. These numbers are projected to rise as more residents become active members, and more visitors opt to experience Santa Monica via bike rather than car. The 2020 target is an annual increase in Bike share usage (total trips per year).

            How can I get involved?

            Become a member of Breeze and start riding! santamonicabikeshare.com/#memberships

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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