Recently, mass transit ridership has been declining at a worrying rate in the US, (see this
video about the solutions to ridership declines in London), partially due to economic growth and the increase in car ownership, and recently due to the emergence of new mobility alternatives. This is forcing agencies and operators to reconsider what can be done about ridership, forcing a hard look at what determines public transit ridership, from on-time performance, to trip volumes and routes.
Ridership is complex and is influenced by many factors. In 2019 new technologies utilizing big data will help improve transit networks by making them more efficient while reducing the costs. Deriving insights from big data utilizing AI will improve on-time performance and the entire rider experience, from better on-time performance
to changing routes, new service offerings etc. These efforts can and will grow ridership, and cities that will invest in these initiatives will see the numbers turn around. 2018 saw few US cities grow ridership; we predict that 2019 will see more such cities.