accessibility

This is the replication data for a research project examines the link between job access and stop/station level transit ridership.

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.

Many gaps exist to include Complete Streets in asset management, and there is no comprehensive plan for filling those gaps. This project developed a road map to fill those gaps.

The California Integrated Travel Project aims to allow transit users to pay for transit throughout the state of California with whichever card based, or electronic means of payment they prefer. However, for some passengers some of these options are not available. In this study the research team explores how these un and underbanked passengers will be able to access open payment systems.

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

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.