travel behavior

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.

These datasets contain the raw data collected from the two separate but related surveys to explore the potential of automated parcel lockers as an alternative for residence deliveries.

This dataset is from a usability survey with vehicle cost calculators (VCC) users who tested three VCCs and provide feedback on their usability.

This study explores the impacts of latent attitudes, socio-demographic characteristics, and neighborhood effects on consumers’ current vehicle fuel type choice and their interest in purchasing or leasing an alternative fuel vehicles in the future.

Researchers at the University of California, Davis analyzed the difference in service levels among dock-based and dockless systems in the cities of San Francisco and Los Angeles and analyzed the spatial distribution of service areas, availability of bikes and bike idle times, trip statistics, rebalancing, and other metrics to understand how well or poorly these systems serve designated “communities of concern”.

A research team at the University of Southern California collaborated with Lime, an e-scooter company, to analyze Slow Streets programs in the cities of Oakland, San Francisco, Los Angeles, and Portland. Using two statistical approaches, they examined dockless e-scooter travel at four different times of day and overall weekly and monthly averages of dockless e-scooter trips. 

Researchers at UC Davis used the publicly available 2012 CHTS and 2017 NHTS California add-on data to examine the impact of methodological differences on the changes in mode shares over this five-year period and conducted a preliminary investigation into the role of demographic and other factors in these changes.

Using San Francisco and Los Angeles as case studies, the research team quantifies bikeshare service levels for communities of concern (CoCs) by analyzing the spatial distribution of service areas, available bikes and bike idle times, trip data, and rebalancing among the dock-based and dockless systems.