United States Department of Transportation
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Evaluating the Effects of Complete Streets on Mode Choice, A Case Study in the Baltimore-Washington Area
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2021-12-01
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[PDF-5.23 MB]
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Edition:SPR-B Final Report (November 2019 – September 2021)
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Abstract:The goal of this project is to enhance regional travel demand modeling capability of MDOT SHA by developing data-driven mode choice models that incorporates bicycling and walking among the modes so that impacts of Complete Street projects and plans can be forecasted in the future. To accomplish the project goals and objectives, a Stated Choice Experiment (SCE) in which respondents are asked to evaluate different alternatives (including walking, biking and other) characterized by attributes related to trips made in a CS context is completed. The data set is used to estimate discrete choice models to explain the preferences for bike and walk modes in a CS context. Considering the implementation of the model in MSTM, we estimated the models by income and trip purposes consistent with MSTM, and we calculated both direct and cross elasticities from the coefficients obtained. We utilized calculated elasticities to update motorized-share table input used in MSTM where each modeling zones are assigned an average LTS value. We developed an Excel spread-sheet tool to update the motorized share input to MSTM and tested it on two scenarios. The scenario results demonstrated that the methods and tools we developed in this project can successfully reflect the potential impacts of CS within a statewide transportation model, i.e., MSTM, albeit requiring further refinement and validation.
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