A lack of reliable and affordable transportation options exacerbates socioeconomic inequities for low-income individuals, especially people of color. Universal basic mobility (UBM) programs are a new approach to alleviating financial barriers to travel. These programs provideindividuals with funds to pay for a variety of mobility options such as transit and shared modes (e.g., scooter share, bike share, ridehail). Early results suggest that UBM programs can have a range of positive impacts.
Our research chronicles the emergence of eight UBM programs in the US. Portland, Oregon, was the first to launch a UBM program in 2017 and has hosted two additional UBM programs over the years. There are, or have been, UBM pilots and/or programs in the California cities of Sacramento, Oakland, Los Angeles, and Stockton as well as in Pittsburgh, Pennsylvania. To compare these programs, our research team conducted interviews with city representatives and stakeholders and reviewed reports and other published materials.
Many small, resource-strapped communities located in areas vulnerable to wildfire don’t have resources to conduct dedicated evacuation studies and many do not consider the impact of background traffic (i.e., normal traffic rather than evacuating traffic) on evacuation. In response, we explored the performance of several generalizable evacuation strategies with background traffic for representative communities in Marin County, including the Ross Valley, Woodacre Bowl, Tamalpais Valley, and an area near Highway 101 and Ignacio Boulevard in Novato (hereafter referred to as ‘Novato Neighborhood’). The strategies we explored include vehicle reduction (i.e., evacuees share a vehicle), phased evacuation (i.e., evacuees in different zones have different departure times), and off-street parking (i.e., street parking is prohibited on a high-fire Red Flag Day to increase overall road capacity in the event of an evacuation). We then tested each strategy using a wildfire-traffic simulation framework.
Shared micromobility (bikesharing and scooter sharing) experienced market growth since 2021, rebounding from the pandemic across markets in the US, Mexico, and Canada. In partnership with the North American Bikeshare and Scootershare Association (NABSA) and Toole Design, researchers at the Transportation Sustainability Research Center (TSRC) at UC Berkeley have collaborated on the data collection and analysis of the shared micromobility industry metrics through a series of annual reports beginning in 2019. This includes a series of operator and agency surveys.1 Most recently, TSRC researchers collaborated on an Operator Survey (n=29) and an Agency Survey (n=52), distributed between January 2023 and June 2023, of all known shared micromobility operators and agencies as part of the 2022 state-of-the-industry report. Similar surveys were deployed in January 2022 and May 2022. These surveys include questions about shared micromobility systems2 operating within those agency jurisdictions and operator markets.
The increasing reliance on transportation network companies (TNCs) and delivery services has transformed the use of curb space. The curb space is also an important interface for bikeways, bus lanes, street vendors, and paratransit stops for passengers with disabilities. These various demands are contributing to a lack of parking, resulting in illegal and double-parking and excessive cruising for spaces and causing traffic disturbance, congestion, andhazardous situations.
This brief explores how shared micromobility (bikesharing and scooter sharing) has evolved since the pandemic. Primary data for this report were collected through four surveys: An Operator Survey (n=25) and an Agency Survey (n=52) distributed between January 2022 and May 2022 to all known shared micromobility operators and agencies and included questions about the attributes of shared micromobility systems1 operating within those agency jurisdictions and operator markets; and a similar Operator Survey (n=29) and an Agency Survey (n=52) distributed between January 2023 and June 2023 to all known shared micromobility operators and agencies.
Commuter rail is known to have a “first- and last-mile” problem (i.e., a lack of options for getting commuters to and from a rail station). The first- and last-mile dilemma creates inequalities in access. For example, high-income commuters drive to work (forgoing transit altogether), middle-income commuters drive to a rail station and pay to park, and low-income commuters rely on feeder buses or walking to reach a rail station. Transportation network companies (TNCs), like Uber and Lyft, are a viable option for connecting travelers to rail stations, especially for those who don’t own a car, however, their high fares make them attractive only to higher-income travelers. To close this equity gap, subsidies could be provided for TNC rides that connect travelers to commuter rail. To explore this concept further, we developed idealized (but physically realistic and rational) models to describe communities in the San Francisco Bay Area, and simulated the effects of various subsidization policies (i.e., providing subsidies for TNC rides to and from rail stations, increasing rail stations parking fees) using real-world data representative of Bay Area commuter populations.
The onset of the COVID-19 pandemic in 2020 sparked conversations about how to best avoid large waves of airborne infections. A solution could save lives and avert an overwhelmed hospital system. Nonpharmaceutical interventions (NPIs) may be implemented early-on to reduce infections before pharmaceutical interventions such as vaccines are available. This study evaluated the effectiveness of NPIs including cloth masks, N95 masks, antigen testing, and reductions in contact intensities. It also compared the effectiveness of interventions implemented during all activities to only high-risk work activities.
