travel demand

This paper proposes an algorithm to reduce traffic congestion and improve routing efficiency via offering (personalized) incentives to drivers.

Researchers at the University of California, Davis conducted a review of practices in curbside management, and they conducted simulations to evaluate the impact of different management and design strategies on travel time, congestion, vehicle travel, and emissions in residential, commercial, and mixed-use neighborhoods in San Francisco.

The dataset includes maps for two test cases used in the study.

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 is the dataset for the project "Youth Cruz Free: Bus Ridership Behavior Among Santa Cruz County Teens" (UCD-DOT-1007).

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

This is the dataset for the project "Fuel and Emissions Calculator (FEC) Version 4.0".

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

Research performed in this supplemental NCST study improved model algorithms to increase analytical efficiency and to integrate ridership demographics, so that energy use impacts could be assessed across demographic groups for use in social sustainability analysis.