The NCST produces two-page Policy Briefs to help summarize and synthesize findings from its research and to highlight the policy and/or practice implications in an easy-to-understand, accessible style and format.
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.
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 studied methods and web-based mapping and quantitative analysis tools available to regional and local governments to evaluate the land use efficiency and equity of their policies and plans. The team reviewed 11 web-based tools on their incorporation of VMT, gentrification, equity, land use, and tool accessibility.
By 2030, the state is targeting 90% of passenger miles traveled on TNCs to be fueled by electricity. To support this objective, UC Davis researchers developed an online tool to help gig drivers understand their potential cost savings from EVs.
Traffic congestion is a significant problem in major metropolitan areas in the United States. According to the Urban Mobility Report, in 2019 commuters on average lost about 54 hours in traffic congestion. The researchers developed three approaches to rideshare routing and evaluated their effectiveness in combating traffic congestion.
Rural residents face significant mobility challenges because travel destinations are far, opportunities like jobs and access to essential needs are limited, and rural roadways are more dangerous than their urban counterparts. UC Davis researchers used US Census microdata and conducted interviews to describe socioeconomic and mobility characteristics of carless households and residents in rural California to understand barriers to access and travel adaptations among individuals with limited access to a vehicle.
This policy brief summarizes the key findings and policy implications of recent research from UC Davis that assesses the landscape for freight automation and its potential labor impacts in the freight and warehousing sector.
This research brief summarizes the project report which proposes Talent Pipeline Management solutions that CSU campuses can facilitate in a transformational skills paradigm—a time in which entrants and incumbents need accelerated training and education to acquire the in-demand KSAs of today’s working standards.
The researchers synthesized their findings into a set of best practices for science communication and considered how scientific reputation affects engagement in the policy process.
Researchers at the University of California, Davis reviewed the empirical research on induced travel to understand the likely effects of adding roadway capacity in a variety of contexts.
With Calculator use increasing, the UC Davis researchers initiated a project to update the Calculator and improve its functionality based on recent data and empirical research.
The proliferation of digital devices and online services over the past decades has changed how people travel, enabling new mobility options and offering greater opportunities for e-commerce and telework. With the onset of the COVID-19 pandemic, the researchers modified their plan to understand new trends, such as increased remote work, online/virtual meetings, and e-shopping, as well as changes in travel.
Researchers at UC Davis combined aggregate historical crash data analysis and micro transportation simulation to examine the safety impacts of four different intelligent vehicle technologies.
The researchers assessed whether the LCA framework was useful in identifying whether a complete street delivered, or was likely to deliver, the intended performance and benefits, and the social and health conditions of the neighborhoods receiving the benefits.
Researchers at the University of California, Davis developed a forecasting model to quantify the potential impacts of future e-commerce on emissions and transport activity under different scenarios with assumptions about penetration levels of various technologies (e.g., electrification, rush deliveries, crowdshipping, and automation/efficiency improvements).
Researchers at the University of Southern California developed a distributed algorithm for offering incentives to organizations to make socially optimal routing decisions designed to lower the traffic flow of congested roads without creating new congestion in other parts of the road network.
Researchers at the UC Davis surveyed households and bike-share users in the Sacramento region and used both behavioral modeling and market segmentation approaches to identify opportunities for increasing demand while improving access for low-income groups.
This brief discusses studies highlighting the institutional challenges the Port of Los Angeles and Port of Long Beach face while working with a multitude of stakeholders and regulatory bodies to address both environmental sustainability and economic competitiveness.
Researchers at the University of California, Davis surveyed California residents about their personal attitudes and preferences, lifestyles, travel patterns, vehicle ownership, adoption and use of new mobility services, and personal and household characteristics, and this brief summarizes the results of multiple studies that have used this dataset to generate insights into the impact of ridehailing services on the use of other travel modes and on car ownership prior to the COVID-19 pandemic.
Researchers at the University of California, Davis reviewed 10 recent studies of the total cost of ownership of battery-electric trucks, now and in the future, compared to a baseline diesel truck to derive general findings that are robust across all the studies.
