Due to the current COVID-19 pandemic, many of our usual frequent riders have stopped taking the MBTA. As a result, until service and ridership have begun to return to normal, we will be reporting customer satisfaction differently.
Because service disruptions can be complex and tend to unfold over time, there is a constant trade-off between the timeliness of sending the alert and the accuracy of the estimated length of impact to service. We discovered through customer feedback, including in our monthly satisfaction survey, that our passengers were relatively dissatisfied with our approach.
In collaboration with the Boston Area Research Initiative, the MBTA is holding a data challenge to see how students and researchers can creatively use the survey data to answer research questions. The winners of the data challenge will be invited to present their work at the BARI Spring 2018 conference on April 27th, 2018.
How to measure equity on high ridership bus routes.
Explaining how a "perfect" chart came together.
This article is a comparison of month to month usage of ridership across multiple modes.
An analysis of frequency and convenience of transit for overnight service.
An analysis of frequency and convenience of transit for overnight service.
A survey of overnight bus service using customer behavior and preferences.
Analysis of why the commuter rail has the lowest satisfaction rates compared to buses and light rail.