travel demand

What factors could strengthen or discourage a microtransit adopter to continue to use it? Who are these early adopters of microtransit? Guided by the theory of planned behavior, this study aims to fill the gap by conducting a large-scale survey focus on microtransit adopters and other means of transportation users in the Sacramento area of California in 2021 to address these research questions.

This data contains the GIS information of the three study areas from the project Fighting for Curb Space, as well as the SUMO scripts.

Preliminary datasets used in the USDOT-funded project “Spatial Implications of Telecommuting in the United States” by Matthew J. Delventhal and Andrii Parkhomenko.

The research objectives of this dissertation are to develop a modeling framework within an advanced activity-based travel demand model that can be used to assess the distribution of transportation cost and benefits across communities of interest and implement a data structure and variable tracking system that can be implemented within and across various modeling tools to ensure that data needed for equity assessment transfer between models, and that outputs from combined models can be used to assess equity impacts.

This policy brief summarizes findings from research that compared results from the NCST Induced Travel Calculator to the induced travel analysis completed for five highway expansion projects' actual environmental impact assessments.

What factors could work as facilitators or barriers in their willingness to adopt microtransit? Who are the early adopters of microtransit? Guided by the theory of planned behavior, this study aims to fill the gap in knowledge by conducting a large-scale survey of microtransit adopters and users of other means of transportation in the Sacramento area of California in 2021.