mobility (general) | National Center for Sustainable Transportation

Building Stocks of Experience: How Beliefs About How You Can, Ought, and Like To Travel Influence Youths’ Current and Future Travel Behavior

Principal Investigator Calvin Thigpen, PhD
University of California, Davis

This dissertation studies how individual experiences and skills can inform one's attitudes and adoption of different travel modes. Specifically, the researcher focuses on how childhood bicycling experiences and teenage driver's license delays impact adult travel behavior.

Project Status

Complete

Changing Markets for Commuter and Suburban Rail

Principal Investigator Kari E. Watkins, Ph.D.
University of California, Davis

The goal of this project is to understand barriers to potential ridership including a dearth of first- and last-mile connections, reliability of service, bicycle and pedestrian facilities near stations, cost, changes in attitudes, changes in demand for travel (induced by work from home preferences), and station level amenities including parking.

Project Status

In Progress

Dataset: A Survey of Agencies on Mitigating Extreme Heat Exposure through Novel Materials and Improved Pedestrian Infrastructure Design

Research Product Type

Data

This is the dataset of the National Center of Sustainable Transportation (NCST) project titled A Survey of Agencies on Mitigating Extreme Heat Exposure through Novel Materials and Improved Pedestrian Infrastructure Design.

Dataset: Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors

Research Product Type

Data

The data used in the creation of a cost model of travel choices (e.g. deciding to own, ride in, and drive a private vehicle or use pooled or solo ridesourcing) that individuals make related to urban vehicle travel. The project involved convening focus groups and administering a pilot survey of professionals.

Dataset: Incentive Systems for New Mobility Services

Research Product Type

Data

Data for the project Incentive Systems for New Mobility Services, including all the resulting code for offering incentives.

Dataset: Ridehailing, uncertainty and sustainable transportation

Research Product Type

Data

This study investigates how stakeholders throughout the state of California view the potential impacts of ridehailing services such as Uber or Lyft, to transportation systems, and how to address su

Dataset: Survey and analysis of transportation affordable programs in California

Research Product Type

Data

This is the dataset for project "Improving Access and Efficiency to Transportation Affordable Programs in California" (UCD-CT-FAST-079). This study explores opportunities for improving access to transportation affordable programs by gathering insights from existing income-qualified transportation benefits.

Dataset: Synthetic vehicle trajectory dataset for the metropolitan city of Los Angeles using DDTG

Research Product Type

Data

The analysis of trajectory datasets has numerous applications ranging from urban planning to human mobility understanding, but to protect the privacy of individuals trajectory datasets are rarely released to researchers. The team uses their proposed, and recently published at IEEE BigData 2022 conference, Data-Driven Trajectory Generator, dubbed DDTG, to generate a synthetic vehicle trajectory dataset in the metropolitan city of Los Angeles.

Dataset: VISSIM and real-world eco-approach and departure comparison

Research Product Type

Data

This data are output from PTV VISSIM via application programming interfaces (APIs). The files are in .csv format. The contents of each file include vehicle ID, vehicle speed (in mph), MOVES estimate of fuel consumption (in grams), and CMEM estimate of fuel consumption (in grams) on the basis of one simulation time step (1 Hz).

Design and Evaluation of Dynamic Mobility Management Systems

Principal Investigator David Oswald
University of California, Riverside

The goal of this project is to design and evaluate a Dynamic Mobility Management System (DyMMS) to address traffic congestion, which leads to more fuel consumption, significant greenhouse gas (GHG) emissions, and poor air quality.

Project Status

Complete