policy brief

Partially Automated Vehicles Are Increasing Vehicle Miles Traveled

Abstract

Research is beginning to show that vehicle automation will encourage more driving because it substantially reduces driver workload, making driving more relaxing and less stressful. This will have environmental sustainability implications, given that vehicle electrification alone will not be sufficient to meet state and federal greenhouse gas reduction targets without reductions in vehicle miles traveled (VMT). Research on the effects of vehicle automation has been somewhat speculative because fully automated vehicles are not yet commercially available. But many automakers are already incorporating automated features such as adaptive cruise control and lane keeping assist into their vehicles. These features assist in driving tasks and reduce the “cost” of driving in much the same way fully automated vehicles promise to do. Researchers at UC Davis surveyed owners of partially automated electric vehicles in California to understand the impact of partial automation on VMT. The survey asked respondents about their use of partial automation systems including BMW Driving Assistant, Ford Co-pilot360, Honda Sensing, Nissan ProPilot Assist, Tesla Autopilot, and Toyota Safety Sense. The results of this study show that partial automation has the potential to cause large increases in VMT.

policy brief

Do Electricity Prices Affect Electric Vehicle Adoption?

Abstract

The operational costs of electric vehicles are lower than those of gas-powered vehicles. This advantage is often cited by manufacturers, advocates, and policy-makers as a significant benefit of driving electric vehicles. Yet, the question of how consumers value operational costs when purchasing an electric vehicle is largely unexplored. While prior research has suggested that gasoline prices are an important factor for conventional vehicle buyers, consumers may not have the same awareness of electricity prices as they do for salient gasoline prices. The question of whether consumers accurately assess the costs and benefits of using electricity as a transportation fuel has important implications for electric vehicle adoption and for achieving deep decarbonization of the transportation sector through electrification.

research report

A Quantitative Investigation into the Impact of Partially Automated Vehicles on Vehicle Miles Travelled in California

Abstract

This project investigated changes in travel behavior by owners of partially automated electric vehicles. Partial automation can control vehicle speed and steering using sensors that monitor the external environment. The researchers used review results from survey responses including 940 users of partial automation, of which 628 who have Tesla Autopilot and 312 with systems from other automakers. Autopilot users report using automation more than users of other partial automation systems. Autopilot has the largest impact on travel, notably 36% of Autopilot users reporting more long-distance travel. Respondents who are younger, have a lower household income, use automation in a greater variety of traffic, roads, and weather conditions, and those who have pro-technology attitudes and outdoor lifestyles are more likely to report doing more long-distance travel. The project used propensity score matching to investigate whether automation leads to an increase in respondents’ annual vehicle miles traveled. For simplicity, the researchers focused only on the impact of Tesla Autopilot and found that automation results in an average of 4,884 more miles being driven per year.

research report

Homelessness in Transit Environments Volume II: Transit Agency Strategies and Responses

Abstract

Transit settings represent sites of visible homelessness, especially since the advent of COVID-19, for many of the over 500,000 Americans unhoused each night. This report seeks to understand the scale of homelessness in transit and how transit agencies are responding to the problem. Part I describes the extent of homelessness in transit in several areas by using count data and synthesizing prior research. The research team finds that transit serves as shelter for a high, though quite variable, share of unsheltered individuals, who are more likely than their unhoused peers elsewhere to be chronically unhoused and structurally disadvantaged. Part II provides detailed case studies of strategies taken by transit agencies around the country: hub of services, mobile outreach, discounted fares, and transportation to shelters. The team summarizes each strategy’s scope, implementation, impact, challenges, and lessons learned. Reviewing these strategies, the research team finds value in collecting data more systematically, fostering external partnerships, keeping law enforcement distinct from routine homeless outreach, educating the public, and training transit staff—all in the context of a broader need for more housing and services.

research report

Integrating Traffic Network Analysis and Communication Network Analysis at a Regional Scale to Support More Efficient Evacuation in Response to a Wildfire Event

Abstract

As demonstrated by the Camp Fire evacuation, communications (city-to-city, city-to-residents) play important roles in coordinating traffic operations and safeguarding region-wide evacuation processes in wildfire events. This collaborative report across multiple domains (fire, communication, and traffic), documents a series of simulations and findings of the wildfire evacuation process for resource-strapped towns in Northern California. It consists of (1) meteorological and vegetation-status dependent fire spread simulation (cellular automata model); (2) agency-level and agency-to-residents communication simulation (system dynamics model); and (3) dynamic traffic assignment (spatial-queue model). Two case studies are conducted: one for the town of Paradise (and the surrounding areas) and another for the community of Bolinas. The data and models are based on on-site visits and interviews with local agencies and residents. The integrated simulation framework is used to assess the interdependencies among the natural environment, the evacuation traffic, and the communication networks from an interdisciplinary point of view, to determine the performance requirements to ensure viable evacuation strategies under urgent, dynamic wildfire conditions. The case study simulations identify both potential traffic and communication bottlenecks. This research supports integrating fire, communication, and traffic simulation into evacuation performance assessments.

presentation

Invited Expert Testimony in 2021 on the California ”Heavy Duty Vehicle Sector” to the Joint Informational Hearing of the California Senate Committee on Transportation and Senate Budget Subcommittee 2 on Resources, Environmental Protection, and Energy, on The California Energy Commission’s Clean Transportation Program and California’s Zero Emissions Vehicle Deployment Strategy

research report

Do Electricity Prices Affect Electric Vehicle Adoption?

Abstract

This report presents evidence that gasoline prices have a larger effect on demand for battery electric vehicles (BEVs) than electricity prices in California. A spatially-disaggregated panel dataset of monthly battery electric vehicle registration records was matched to detailed records of gasoline and electricity prices in California from 2014-2017, and the matched data was used to estimate the effect of energy prices on battery electric vehicle demand. Two distinct empirical approaches (panel fixed-effects and a utility-border discontinuity) yield remarkably similar results: a given change in gasoline prices has roughly four times the effect on battery electric vehicle demand as a similar percentage change in electricity prices.

policy brief

Hot Mix Asphalt - Local government Model Specification

policy brief

Driving California’s Transportation Emissions to Zero

Abstract

California has long been a global leader in clean energy and climate policy, and it has demonstrated how industrial economies can reduce greenhouse gas (GHG) emissions while supporting strong economic growth and promoting equitable and just outcomes. In September 2018, Executive Order B-55-18 set a target for the state to achieve carbon neutrality by 2045. The University of California Institute of Transportation Studies (UC ITS) produced the first comprehensive research report analyzing the policy options that could put California’s transportation sector on a path to be carbon-neutral by 2045 while also centering equity, health, and workforce impacts. The report, summarized in this brief, presents a study conducted by 23 researchers from the four branches of the UC ITS located at UC Berkeley, UC Irvine, UC Davis, and UCLA.

policy brief

The Extent of Homelessness on Transit: What We Know

Publication Date

April 1, 2021

Author(s)

Abstract

In the U.S., more than 500,000 people lack a stable roof over their heads on any given night. With few other places for unhoused individuals to turn, transit settings such as buses, train cars, bus stops, and train stations often represent sites of visible homelessness in U.S. cities, especially since the advent of the COVID-19 pandemic.As policymakers, transit operators, and other stakeholders consider strategies for responding to homelessness on transit, they must first ascertain its extent. Unfortunately, there are currently little data and few prior studies that explore this basic question. While people experiencing homelessness use transit regularly, both for shelter and transportation, transit operators and other institutions generally do not have accurate data — or often even estimates — of the scale of homelessness on their systems.To address this, the researchers surveyed 115 U.S. and Canadian transit operators regarding homelessness on their systems, obtained data from those few that collect counts, and interviewed select agency staff working on homelessness response.