electric bicycle (eBike)

This study focuses on family users of electric bikes, including electrified cargo bikes to learn how e-bikes are substituted for a family car.

This study examined the sustainability of shared micromobility services using data from 48 cities in the US using a 21-day smartphone travel diary and survey data.

This report presents preliminary findings from the American Micromobility Panel, the largest study of shared micromobility services in the United States incorporating riders from multiple major operators.

Using San Francisco and Los Angeles as case studies, the research team quantified 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.

This dataset includes the data used for the regression analysis of the associated project. Variable names are listed in the top row, as well as more detailed definitions in variable definition worksheets.

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. 

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.

As yet, little is known about the efficacy of e-bike incentive programs in changing travel behavior. To understand the potential of these programs in this area, UC Davis researchers analyzed survey data from rebate recipients in Northern California and evaluated rebate programs for effects of e-bike ownership on travel behavior.