WORK PROGRAM
Understanding Demographic and Ridership Changes in the MBTA Region
April 17, 2025
The Boston Region Metropolitan Planning Organization (MPO) votes to approve this work program.
Agency and Other Client Transportation Planning Studies and Technical Analyses
Massachusetts Bay Transportation Authority
Client Supervisor: Sandy Johnston/Janet Baker
Principal: Rose McCarron
Manager: Joe Delorto
FFY 2025 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.
This study seeks to provide the Massachusetts Bay Transportation Authority (MBTA) with a data-centered framework for analyzing demographic changes across its service area and ridership. Supported by demographic, land use, and ridership data from across the MBTA system, this framework will help guide the MBTA’s long-term thinking about service priorities. This may include high-level recommendations for (1) how the MBTA could evaluate investment in new or improved service or infrastructure and (2) navigating potential trade-offs between its various values and goals. These recommendations may be based on populations or geographies that appear underserved or locations where there are opportunities to generate ridership and mode shift. This work supports the MBTA’s “Full T Ahead” service priorities initiative and will generate data and frameworks to support the upcoming Program for Mass Transportation.
Synthesize qualitative and quantitative data to provide a potential evaluation framework for developing long-term service priorities in light of ridership and demographic shifts.
Staff will review available research and conduct targeted outreach to peer agencies to determine how other transit agencies study, track, and continually respond to ridership and demographic shifts in their service areas.
Summary of current practices and research.
List of peer contacts for MBTA staff.
Staff will conduct exploratory data analysis with various data sources and analytical tools to understand the possible analyses that can be performed with the available data, identify gaps in data availability, and understand what types of data could be further developed.
Summary of available data sources and analytical tools.
List of future data needs for further analysis.
Staff will engage with internal and external stakeholders and solicit diverse perspectives on ridership changes and demographic shifts in the MBTA’s service area to inform the analysis and final report.
Summary of stakeholder perspectives.
Staff will use various data products, including the US Census and the American Community Survey, the MBTA Rider Census, and land use data, to determine where and how ridership and demographic patterns have changed in the MBTA’s service area over the past 20–30 years and explore ways to anticipate how demographics might change in the future.
Staff will measure the relationship between demographic characteristics and transit ridership behavior, as well as how changes in ridership demographics reflect broader demographic changes over time.
Staff will use analytical tools to understand how land use and demographic characteristics can inform service planning.
Statistical analysis of demographic changes in the MBTA service area and MBTA ridership.
List of metrics that may indicate a need for service changes in a given area.
Staff will synthesize data from previous tasks into a framework to guide MBTA staff in how to consider prioritizing service in light of demographic changes. This framework will help define potential trade-offs in long-term service planning, such as investing in service that shifts more trips to transit versus investing in services that have more potential to reduce regional vehicle miles travelled.
Written report detailing the research performed in Tasks 1–4 and ideas to inform long-term service priority evaluation frameworks.
Task |
Month | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | |
1.
Literature Review
|
From Month 1, Week 1 to Month 2, Week 4.
|
|||||||||||
2.
Exploration of Available Data and Tools
|
From Month 2, Week 3 to Month 4, Week 4.
|
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3.
Qualitative Research
|
From Month 3, Week 3 to Month 7, Week 4.
|
|||||||||||
4.
Quantify Ridership Changes
|
From Month 5, Week 1 to Month 9, Week 4.
|
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5.
Develop Framework
|
From Month 9, Week 1 to Month 12, Week 4.
A
Deliverable
Delivered by Month 12, Week 4.
|
Task |
Person-Weeks by Pay Grade |
Direct
Salary |
Overhead
(120.3%) |
Total
Cost |
|||||
---|---|---|---|---|---|---|---|---|---|
G-9 | G-8 | G-7 | G-6 | G-5 | Total | ||||
1.
Literature Review
|
0.0 | 0.3 | 1.4 | 3.6 | 0.0 | 5.3 | $8,867 | $10,667 | $19,534 |
2.
Exploration of Available Data and Tools
|
0.0 | 0.2 | 3.2 | 3.8 | 0.0 | 7.2 | $12,465 | $14,996 | $27,461 |
3.
Qualitative Research
|
0.0 | 0.3 | 1.2 | 4.0 | 0.0 | 5.5 | $9,070 | $10,912 | $19,982 |
4.
Quantify Ridership Changes
|
0.0 | 0.4 | 3.4 | 7.8 | 0.0 | 11.6 | $19,288 | $23,204 | $42,492 |
5.
Develop Framework
|
0.2 | 0.4 | 1.6 | 5.8 | 0.4 | 8.4 | $13,859 | $16,672 | $30,531 |
Total
|
0.2 | 1.6 | 10.8 | 25.0 | 0.4 | 38.0 | $63,550 | $76,450 | $140,000 |
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