mobility (shared)

This paper examines bike-share users’ willingness-to-walk to pick up a bike or drop off a bike at some distance from their origins or destinations if rewarded and to identify characteristics influencing willingness-to-walk.

This data is from the project, Dynamic Routing for Ridesharing. The data is randomly generated within grids where each unit of the grid represents a 1-mile by 1-mile square. It is used to generate the origins and destinations of passengers.

The dataset is generated as the outcome of the research project - Emissions Impact of Connected and Automated Vehicle Deployment in California.

This dataset includes model results on trips, VMT, and emissions for California, generated as the outcome of the research project, "Emissions Impact of Connected and Automated Vehicle Deployment in California".

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.

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

This tabular dataset describes the travel behavior and travel mode related attitudes of residents and bike-share users in the greater Sacramento region.