multimodal | National Center for Sustainable Transportation

Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in California

Research Product Type

Associated Publication

The paper contributes to the literature on millennials’ mobility by rigorously classifying various forms of travel multimodality through the analysis of a rich dataset that includes individual attitudes and preferences.

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.

Millennial Travelers Are More Multimodal than Older Travelers, but This Trend Might Change as They Age

Research Product Type

Policy Brief

This policy brief informs policymakers’ efforts to encourage more sustainable travel modes for millennials and sheds light on how millennials might respond to policy interventions.

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.

Smart Growth Trip Generation

Principal Investigator Susan Handy, Ph.D.
University of California, Davis

The goal of this project is to develop and disseminate data and a method that practitioners can use to estimate multimodal trip-generation rates for “smart growth” land use development projects proposed in California.

Project Status

Complete