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.
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.
Micromobility—transportation using lightweight vehicles such as bicycles or scooters—has the potential to reduce greenhouse gas emissions, traffic congestion, and air pollution, particularly when it is used to replace private vehicle use and for first- and last-mile travel in conjunction with public transit. The design of the built environment in and around public transit stations plays a key role in the integration of public transit and micromobility. The San Francisco Bay Area is a potential testbed for innovative and adaptive transit station design features that support micromobility, since it has relatively high public transit and shared micromobility usage, as well as high micromobility usage rates for trips to and from transit. The region’s Bay Area Rapid Transit (BART) heavy rail stations are in the operation zone of seven shared micromobility operators.
Connected and automated vehicles (CAVs) willrevolutionize the way we travel; however, what impact this revolution will have on advancing broader societal goals is uncertain. To date, the private sector technology rollout has emphasized the automation side of CAVs and neglected the potentially transformative possibilities brought by a more collaborative notion of connectivity. This may have significant downsides from a broader societal perspective. For example, CAVs (including those on the road today) collect a vast amount of data gathered through onboard systems (e.g., radar, lidar, camera), however, this data is not typically shared with other vehicles, roadside infrastructure, or public transportation agencies. This lack of collaboration will likely make traffic worse and forfeit the opportunity to manage traffic at the systems-level, which is where significant gains can be made in terms of improving traffic flow and safety, reducing greenhouse gas emissions and vehicle energy use, and more.
Researchers at the University of California, Irvine, are looking into what may become the “new normal” in work and work-related travel and the consequences that could have on traffic conditions, efforts to address climate change, and the future of our urban areas, as well as our daily lives. They find, for instance, that current research is largely equivocal about the consequences of telecommuting on where individuals choose to live, their day-to-day travel, and urban/metropolitan development. Equally unclear is how increased telecommuting may impact efforts to create more sustainable and inclusive communities. In light of this uncertainty, they suggest planners and researchers need to pay more attention to the changing nature of urban commuting and how it can play an important role in shaping a more desirable future.
