WORK PROGRAM
MBTA Heavy Rail Capacity Analysis
December 4, 2025
The Boston Region Metropolitan Planning Organization (MPO) votes to approve this work program.
Not listed in federal fiscal year (FFY) 2026 UPWP
Massachusetts Bay Transportation Authority (MBTA)
Client Supervisor: Sandy Johnston
Principal: Rose McCarron
Manager: Joe Delorto
MassDOT-directed planning funds
Schedule and budget details are shown in Exhibits 1 and 2, respectively.
This studyis supported in full with non-MPO funding. Committing MPO staff to this project will not impinge on the quality or timeliness of MPO-funded work.
The MBTA’s recently released service priorities initiative, Full T Ahead, lays out long-term service priorities for the MBTA system. Full T Ahead sets ambitious goals for more frequent, all-day transit service that serves evolving regional needs. As the MBTA plans for a future where transit is the preferred mode of travel in the Boston region, it will be critical to ensure that the transit system has sufficient capacity to serve a growing number of trips. To that end, this study aims to identify areas of the heavy rail network where excess capacity may exist or where the network may be capacity-constrained, both currently and under a variety of future service and ridership scenarios.
Staff will explore MBTA heavy rail ridership data and trends to inform their approach to this study. Staff will assess the capabilities of various tools, such as the TDM23 travel demand model and the MPO’s new Simplified Trips-on-Project Software (STOPS) model, to support an analysis of current and future heavy rail system capacity. With this knowledge, staff will establish a methodology of measuring capacity on the heavy rail network according to the MBTA’s Service Delivery Policy, rolling stock considerations, and infrastructure constraints.
List of available data sources
Proposed methodology for analyzing rapid transit system capacity
In collaboration with the MBTA, staff will define a set of future scenarios to be analyzed. These scenarios will vary by land use, ridership, and the amount of transit service provided. Service scenarios should be feasible with existing, committed, or planned upgrades to heavy rail infrastructure.
List of scenarios to be analyzed
Using the data, tools, and methodology defined in Task 1, staff will model the scenarios defined in Task 2. For each scenario, staff will identify areas where excess capacity may exist on the heavy rail network and areas where the network may be capacity-constrained. The analysis will focus on the heavy rail system (Red, Orange, and Blue Lines) because of data quality but may also explore analysis of the Green Line, time and capacity permitting. Bus rapid transit is out of scope for this study.
Analysis of heavy rail system capacity for each scenario
Staff will produce a technical memorandum detailing the findings of Tasks 1–3 and any necessary materials to support the application of this analysis.
Technical memorandum
|
Task |
Month | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
|
1.
Explore Data and Define Methodology
|
From Month 1, Week 1 to Month 2, Week 2.
|
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|
2.
Define Scenarios
|
From Month 2, Week 3 to Month 4, Week 2.
|
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|
3.
Analyze System Capacity
|
From Month 4, Week 3 to Month 8, Week 2.
|
||||||||
|
4.
Documentation
|
From Month 8, Week 3 to Month 9, Week 4.
Deliverable
A
Delivered by Month 9, Week 4.
|
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|
Task |
Person-Weeks by Pay Grade |
Direct
Salary |
Overhead
(122.59%) |
Total
Cost |
||||
|---|---|---|---|---|---|---|---|---|
| G-9 | G-8 | G-6 | G-5 | Total | ||||
|
1.
Explore Data and Define Methodology
|
0.1 | 0.4 | 4.2 | 0.0 | 4.7 | $7,537 | $9,240 | $16,776 |
|
2.
Define Scenarios
|
0.0 | 0.4 | 5.0 | 0.0 | 5.4 | $8,470 | $10,384 | $18,854 |
|
3.
Analyze System Capacity
|
0.0 | 0.4 | 5.8 | 0.0 | 6.2 | $9,737 | $11,937 | $21,674 |
|
4.
Documentation
|
0.2 | 0.2 | 4.0 | 0.5 | 4.9 | $7,950 | $9,746 | $17,696 |
|
Total
|
0.3 | 1.4 | 19.0 | 0.5 | 21.2 | $33,695 | $41,307 | $75,000 |
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