Thank you for taking our second Station Prints Quiz! Let’s take a look at the answers to see which station matched which prints.
OPMI is proud to release the first-ever MBTA Service Delivery Policy Annual Report.
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
Greater Boston's makeup has changed significantly in recent years, with shifting demographics, emerging employment districts, increasing traffic congestion, and changing travel patterns. Meanwhile, up until recently, much of the MBTA bus network had not seen any changes since the 1960s. To remedy this, the MBTA created the Bus Network Redesign, an initiative that aims to... Continue reading Creating a Road Map of “Busable” Streets
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...
Starting in March 2020, the COVID-19 pandemic resulted in a catastrophic drop in ridership – and correspondingly in revenue – for the MBTA. Even as trips began to return on the system during the summer of 2020, the MBTA continued to contend with low levels of ridership and associated budget shortfalls. During the fall of... Continue reading Developing the “Transit Criticality” Metric
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.