Ability to Meet Basic Needs

Measuring percent satisfaction with public transportation.

This indicator measures percent satisfaction with public transportation.Explore the data
percent
Current
60percent
Dec 2020 Target
Goal Period ended December 2020

            What is this indicator?

            Santa Monica’s award-winning bus line, the Big Blue Bus, provides a convenient and affordable public transportation option for Santa Monica residents and visitors. In addition, the second phase of the Metro Exposition Line is projected to open in early 2016, providing light rail service between Santa Monica and Downtown Los Angeles. Availability of transit is only one part of the equation; satisfaction and perception of transit as a viable alternative to solo driving determines its effectiveness at removing cars from the road.

            This goal is measured by the percent of Santa Monica residents who are satisfied with the city’s public transportation services.

            Why is it important?

            Many of our environmental challenges are related to transportation. Improving satisfaction with public transportation, and thus encouraging ridership can have local and global environmental implications. Riding public transportation reduces traffic, improves air and water quality and saves riders money on car expenses.

            How are we doing?

            Survey results show that 64% of residents are satisfied with the city’s public transportation alternatives, such as the Big Blue Bus, and only 9% are dissatisfied (22% have a neutral view and 5% are uncertain). While this is a promising review, it is down from 74 percent satisfied in 2011, the first year this data was collected. The city aims to improve satisfaction rates by 2020 and ultimately to encourage more residents to ride the bus rather than adding to congestion and pollution by driving their cars.

            What can I do?

            Take public transit! Look up your public transit options on the Big Blue Bus.

      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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