bike-share | National Center for Sustainable Transportation

American Micromobility Panel (Part 2): Transit Connection, Mode Substitution, and VMT Reduction

Research Product Type

Research Report

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.

Annual Investigation of Nationwide Mobility Trends: “The Pulse of The Nation” on the 3 Revolutions

Principal Investigator Giovanni Circella, Ph.D.
University of California, Davis

The study will shed light on the evolving impacts of new mobility options on various components of travel behavior and vehicle ownership, how these solutions expand travel options and the circumstances under which travelers increase travel multimodality and may reduce their reliance on the use of private vehicles.

Project Status

Complete

Bicycling as a Solution to Yosemite Valley Traffic

Principal Investigator Susan Handy, Ph.D.
University of California, Davis

Yosemite National Park attracts 4.5 million visitors a year, 60% of whom spend at least some time in Yosemite Valley where many of the park’s natural wonders are found. Bicycles have been a popular travel alternative within the valley. The purpose of this project is to explore the potential for bicycling to play a larger role in the effort to manage Yosemite Valley traffic and reduce environmental impacts.

Project Status

Complete

Bikeshare Destination Choices and Accessibility Among Disadvantaged Communities

Research Product Type

Associated Publication

There is a lack of understanding of trip destination choices and behaviors for bikeshare users from disadvantaged communities, which are usually underrepresented in bikeshare users’ profiles.

Bikesharing and other micromobility services can improve connectivity between affordable housing communities and transit

Research Product Type

Policy Brief

A team at the University of California, Davis, conducted a case study in Sacramento, California, to explore bikesharing as an option for connecting affordable housing residents with transit services. This brief summarizes the findings from that research and provides implications for the field.

Can Emerging Micromobility Enable More Car-Light Sustainable Lifestyles?

Principal Investigator Hossain Mohiuddin
University of California, Davis

This project proposes to explore how micromobility (i.e., bike-share and scooter-share) services are enabling individuals toward a car-light lifestyle.

Project Status

In Progress

Dataset: Dock‐based and dockless bikesharing systems: analysis of equitable access for disadvantaged communities

Research Product Type

Data

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.

Dataset: Optimizing bikeshare service to connect affordable housing units with transit services

Research Product Type

Data

The dataset for this study was collected from various sources including Affordable Housing Communities Data, demographic information from the American Community Survey, OpenStreetMap road network, Points of Interest (POIs) data, General Transit Feed Specification (GTFS) data, and Longitudinal Employer-Household Dynamics (LEHD) data.

Dataset: Sacramento bike share surveys

Research Product Type

Data

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

Do Dock-based and Dockless Bikesharing Systems Provide Equitable Access for Disadvantaged Communities?

Research Product Type

Policy Brief

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”.