TDM23: The Boston Region’s Travel Demand Model

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The Boston Region MPO staff have maintained a travel demand model for the Boston region for over four decades. Transportation and land use planners use travel demand models to quantify demand for our transportation network, now and in the future, and assess the impacts of alternative projects, policies, and programs to guide long-range planning. Travel demand models are purpose-built tools and require contextual knowledge and application experience to be used correctly.

The newest regional travel demand model is TDM23, built to support Destination 2050, the Boston Region MPO's current Long-Range Transportation Plan. Some key features of TDM23 that differ from previous versions of the model include the representation of rideshare services, work-from-home behavior, and the ability to conduct sensitivity testing and exploratory analysis.

Contact

Marty Milkovits, Director of Modeling and Analytics
Sabiheh Faghih, Program Manager
model.support@ctps.org

Current Applications

Destination 2050

TDM23 was developed to support analysis of the planning scenarios in the Boston Region’s Long-Range Transportation Plan, Destination 2050. The results of the analysis include projections related to congestion, greenhouse gas emissions, and disparate impacts on equity populations.

Allston Multimodal Project

The Allston Multimodal Project will significantly improve Interstate 90 and its abutting interchange and create a new stop on the Worcester/Framingham commuter line. MPO staff are utilizing TDM23 to help project stakeholders understand the transportation impacts and opportunities of the project by producing forecast data on highway volumes, transit volumes, and mode splits in the study area.

Resources

Request Access to TDM23

TDM23 was built to be shared with the travel demand modeling community and is publicly available. To request access to the model inputs and scripts for the current version (TDM23.1.0), please contact model.support@ctps.org with information about your organization and intended use.