accessibility

This project is to investigate how accessibility of city blocks is quantified through the transport systems and real traffic flow data from the Los Angeles Metropolitan Area. The authors investigate the reachability problem and provide a solution with a functional system that is capable of visualizing the reachability map (isochrone)

This study evaluates differences in travel burdens and the factors that drive them in rural and urban contexts in the United States. Using the 2017 National Household Transportation Survey, the authors first evaluate differences in travel burdens across rural versus urban communities, including i) the magnitude of travel burdens, ii) who experiences travel burdens, and iii) the individual and environmental factors that are associated with travel burdens.

This research project examines the link between job access and stop/station level transit ridership.

The researchers designed a bikeshare station (BSS) location optimization tool that aims to alleviate the impacts of this spatial divide through bikeshare services.

Using the 2017 National Household Travel Survey, this study quantifies and compares travel burdens in rural versus nonrural communities in the United States.

Researchers at the University of California, Davis and the Technical University of Berlin evaluated questions around the impacts of automated vehicles by simulating three scenarios in the Westside Cities area using an open-source, dynamic, agent-based travel model called MATSim, then calculated the benefits of each scenario compared to the base case for various income groups.