multimodal

Comparing REAP and AHSC: State-defined versus regionally-defined funding strategies for affordable housing linked to multi-modal transport

  • Principal Investigator Elisa Barbour, Ph.D.
  • University of California, Davis
This research project will compare key elements of program design, administration, and projected benefits from the Regional Early Action Planning (REAP) and Affordable Housing and Sustainable Communities (AHSC) programs, with the aim of considering how and whether a state-led strategy (AHSC) differs from regionally-designed strategies (through REAP), in furthering SB 375 goals through funding that allocated for similar specific purposes.
Project Status
In Progress

Implementing and Evaluating Machine Learning Algorithms for Bikeshare System Demand Prediction

  • Principal Investigator Mehdi Azimi, Ph.D.
  • Texas Southern University
This research project will develop models for Houston bikeshare system demand prediction at the station level by leveraging data on station activities. Accurate prediction of bikeshare demand has the potential to transform the way these systems are managed and integrated into urban transportation networks, leading to improved efficiency, customer satisfaction, and sustainability.
Project Status
In Progress

Intercity Travel for Metropolitan Access in Northern New England

  • Principal Investigator Muriel Adams
  • University of Vermont
This project studies travel behavior between non-metropolitan areas and large metropolitan centers, considering impacts on quality of life, multimodal planning, and rural economies. The project focuses on residents of northern New England traveling to Boston, New York City, Philadelphia and Washington, DC.
Project Status
Complete

Intercity Travel for Metropolitan Access in Northern New England

Research Product Type
Research Report
This project studies travel from home locations in northern New England (Vermont, New Hampshire, Maine, and Massachusetts, excluding the Boston-Cambridge-Quincy Metropolitan Statistical Area), going to Boston, New York City, Philadelphia, and Washington, DC. The goal of the project was to perform more advanced spatial data re-tabulation to generate new mode-specific predictor variables, especially measures of air access using Federal Aviation Administration datasets.

Lessons Learned on Mobility as a Service (MaaS): Exploring Opportunities and Barriers for the U.S. Context

  • Principal Investigator Giovanni Circella, Ph.D.
  • University of California, Davis
This project will review Mobility as a Service (MaaS) experience from abroad and investigate the lessons learned on the way MaaS works, the various levels of integration possible on the MaaS platform, the type of transportation services that are offered, and the way (bundle) payments and fare integration are handled.
Project Status
In Progress

Modeling for Local Impact Analysis

Research Product Type
Research Report
Researchers developed traffic simulation models that allowed them to evaluate the impact of new traffic flow control systems, vehicle routing, and other technologies on the efficiency of the transportation system.

Multi-Modal Travel in Yosemite Valley

Research Product Type
Research Report
In this study, the researchers examined traffic volumes and patterns in Yosemite Valley, the heart of Yosemite National Park.