At the beginning of 2021, we took a broad look at ridership throughout 2020 to identify some of the changing trends we were seeing due to the COVID-19 pandemic. We wanted to do this at the end of 2021 as well, but just as things seemed to be reaching a steady state, the rise of... Continue reading Ridership in Review: 2021 and Early 2022
Thank you for taking our second Station Prints Quiz! Let’s take a look at the answers to see which station matched which prints.
Here on the Data Blog, we previously posted a station prints quiz where readers were given daily ridership graphs for anonymous stations and tasked with identifying which station the graph belonged to (we also provided the answers). With new travel patterns emerging because of the pandemic, we would like to put our readers’ subway knowledge... Continue reading MBTA Station Prints Quiz 2
The COVID-19 pandemic has greatly impacted transit use, changing trends that were previously well-established and static over time. These circumstances have necessitated a new look at our data to investigate transit changes in a thoughtful way. This post will focus on how we’re thinking about changing ridership trends...
At the onset of the pandemic, the MBTA lost a vast majority of its ridership (and therefore a large portion of its revenue) yet played a critical role in transporting the essential workers that kept the Boston area running. We’ve talked about some general patterns in COVID-era MBTA ridership on the data blog previously (see... Continue reading Regression Analysis of Pandemic Ridership
In our review of the impacts of the COVID-19 pandemic on ridership, we showed the following charts that display average entries at gated stations over the day. This shows us how ridership during the pandemic has been not only lower in volume, but also less focused on the traditional peak times around 8 AM and 5 PM... Continue reading Just How “Peaky” are (Pre-Pandemic) Peaks in Demand?
In the past two posts, we’ve given an overview of how ridership changed during the pandemic, both over the course of the year and spatially throughout the system. In this post, we’ll take a look at how patterns of ridership changed temporally on a weekly and daily level.
Ridership on the MBTA and public transit in general has dropped dramatically as a result of the COVID-19 pandemic. For this series of posts, we wanted to take a longer look at the year to review how ridership changed in three dimensions: by mode, over time, and by location.
In 2020 Ridership In Review: Part 1, we took a broad look at ridership on the MBTA in 2020, and dove into the details on which types of passengers continued to ride the system. In this post, we’ll examine where passengers rode the system and how that changed from the patterns we typically see.
While ridership remains far from normal, the return to fare collection provided a natural experiment for learning more about how the system is being used and how passengers respond to fares.