presentation

Getting Back on Track, Policy Solutions to Improve California Rail Transit Projects

policy brief

New Metrics Are Needed to Understand the Environmental Benefits of Micromobility Services

Abstract

Micromobility services (e.g., conventional and electric bikeshare programs and electric scootershare programs) hold great potential for reducing vehicle miles traveled and greenhouse gas emissions if these services are used as substitutes for car travel and/or to access public transit. But estimating these environmental effects is challenging, as it requires measuring changes in human behavior—that is, the choice of what transportation mode to use. While many cities collect various micromobility usage metrics to regulate services, these metrics are not sufficient for calculating the sustainability benefits of these services.

research report

Micromobility Trip Characteristics, Transit Connections, and COVID-19 Effects

Abstract

While micro-mobility services (e.g., bike-share, e-bike share, e-scooter share) hold great potential for providing clean travel, estimating the effects of those services on vehicle miles traveled and reducing greenhouse gases is challenging. To address some of the challenges, this study examined survey, micromobility, and transit data collected from 2017 to 2021 in approximately 20 U.S. cities. Micromobility fleet utilization ranged widely from 0.7 to 12 trips per vehicle per day, and the average trip distance was 0.8 to 3.6 miles. The median (range) rates at which micro-mobility trips substituted for other modes were 41% (16–71%) for car trips, 36% (5–48%) for walking, and 8% (2–35%) for transit, 5% (2–42%) for no trip. In most cities, the mean actual trip distance was approximately 1.5 to 2 times longer than the mean distance of a line connecting origin to destination. There was a weak and unclear connection between micro-mobility use and transit use that requires further study to more clearly delineate, but micro-mobility use had a stronger positive relationship to nearby rail use than to nearby bus use in cities with rail and bus service. The COVID-19 pandemic led to more moderate declines in docked than in dockless bike-share systems. Metrics that would enable a better assessment of the impacts of micro-mobility are vehicle miles traveled and emissions of micro-mobility fleets and their service vehicles, and miles and percentage of micro-mobility trips that connect to transit or substitute for car trips.

policy brief

Electrifying Ridehailing: A Cross-Sector Research Agenda

Abstract

Electrifying ridehailing services provided by transportation network companies (TNCs) such as Uber and Lyft can reduce greenhouse gas emissions and air pollution) and provide cost savings on fuel and maintenance to TNC drivers. Policy levers have emerged to nudge the industry in this direction. California’s Senate Bill 1014 establishes a “Clean Miles Standard” requiring that an increasing percentage of ridehailing services be provided by zero-emissions vehicles. However, the path to achieving this goal is unclear. This brief is the last in a series on TNC electrification. It presents a research agenda identified by government and industry stakeholders, articulating what they believe are the most important questions to address to find the path to TNC electrification. This brief also highlights which perceived research needs are shared broadly and which differ across government and industry stakeholders. The aim is to facilitate a shared understanding for better research, policy, and business practices.

policy brief

Electrifying Ridehailing: Segmenting Transportation Network Company Drivers Based on Their Electric Vehicle Charging Practices

Abstract

Electrifying ridehailing services provided by transportation network companies (TNCs) can reduce greenhouse gas emissions and air pollution while providing fuel and maintenance cost savings to TNC drivers. Policy levers have emerged to nudge the industry in this direction. California’s Senate Bill 1014 establishes a “clean miles standard” requiring an increasing percentage of ride-hailing services be provided by zero-emissions vehicles, such as plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs)—together referred to as plug-in vehicles (PEVs). In spring 2019, researchers at UC Davis surveyed 732 TNC drivers in the US who already use a PEV, to understand their use and charging of their PEV. This is the second in a series of briefs highlighting the results of the survey. There is limited understanding of how drivers’ charging practices affect the potential benefits of electrifying TNCs. This research identifies segments of TNC-PEV drivers based on their vehicle charging practices (i.e., location, level, and time of day) to inform infrastructure planning.

policy brief

Electrifying Ridehailing: Drivers’ Charging Practices and Electric Vehicle Characteristics Predict the Intensity of Electric Vehicle Use

Abstract

Electrifying ridehailing services provided by transportation network companies (TNCs) can reduce climate-altering emissions and air pollution and provide cost savings on fuel and maintenance to TNC drivers. Policy levers have emerged to nudge the industry in this direction. California’s Senate Bill 1014 establishes a “clean miles standard” requiring an increasing percentage of ride-hailing services be provided by zero-emissions vehicles such as plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs)—together referred to as plug-in vehicles (PEVs). This can be achieved by increasing the number of TNC drivers using BEVs and PHEVs, and by increasing the electric miles PHEV drivers travel.

policy brief

Electrifying Ridehailing: Characteristics and Experiences of Transportation Network Company Drivers Who Adopted Electric Vehicles Ahead of the Curve

Abstract

Electrifying ridehailing services provided by transportation network companies (TNCs) such as Uber and Lyft can reduce greenhouse gas emissions and air pollution and provide cost savings on fuel and maintenance to TNC drivers. Policy levers have emerged to nudge the industry in this direction. California’s Senate Bill 1014 establishes a “clean miles standard” requiring that an increasing percentage of ridehailing services be provided by zero-emissions vehicles such as plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs)—together referred to as plug-in electric vehicles (PEVs). Because TNC drivers operate their personal vehicles, government and industry must accelerate PEV adoption among TNC drivers to achieve this goal.

research report

Life Cycle Assessment of Environmental and Economic Impacts of Deploying Alternative Urban Bus Powertrain Technologies in the South Coast Air Basin

Abstract

To aid in addressing issues of air quality and greenhouse gas (GHG) emissions in the South Coast Air Basin, local transit agencies are considering a shift to battery electric buses (BEBs) and hydrogen fuel cell electric buses (FCEBs). Each of these options varies in their overall effectiveness in reducing different emission types over their life cycle, associated life cycle costs, ability to meet operational needs of transit agencies, and life cycle environmental footprint. This project carried out a lifecycle-based analysis and comparison of the GHG emissions, criteria pollutant emissions, and other environmental externalities associated with BEBs and FCEBs, taking into account their ability to meet the operational constraints of the Orange County Transportation Authority. From an environmental footprint perspective, this study found the following. First, both FCEBs and long-range BEBs have comparable impacts on global warming potential and particulate matter formation but when the FCEBs were fueled using renewable hydrogen. Second, using electricity from the current California grid mix to drive electrolysis to produce hydrogen for FCEBs produced only marginal benefits compared to current natural-gas-fueled vehicles due to the low supply chain efficiency of this pathway. Third, the mining of precious metals is a major contributor to environmental footprint categories for both BEBs and FCEBs. Fourth, both FCEVs and long-range BEBs provide significant reductions in environmental footprint compared to conventional diesel and natural gas buses. From a cost perspective, this study found the following. First, with current-day cost inputs, FCEBs and BEBs have comparable total costs of ownership, but both have slightly higher costs than diesel and natural gas buses. Second, FCEBs have an equivalent total cost of ownership to BEBs when the electricity rate for charging is $0.24/kWh. Higher values render FCEBs as the cheaper option and lower values render BEBs as the cheaper option. Second, the total cost of ownership of these technologies is highly sensitive to electricity costs, and the rapid evolution of the electricity system has strong implications for the economic comparison between BEBs and FCEBs. Overall, this study finds that while both FCEBs and BEBs provide life-cycle environmental benefits, further cost reductions in electricity rates and initial purchase costs are needed to achieve total cost of ownership parity with conventional bus powertrains. With the rapid evolution of the electricity system and falling costs for renewable electricity resources, these cost reductions may occur in the near future.

research report

Using Automated Vehicle (AV) Technology to Smooth Traffic Flow and Reduce Greenhouse Gas Emissions

Abstract

Passenger and heavy-duty vehicles make up 36% of California’s greenhouse gas (GHG) emissions. Reducing emissions from vehicular travel is therefore paramount for any path towards carbon neutrality. Efforts to reduce GHGs by encouraging mode shift or increasing vehicle efficiency are and will continue to be, a critical part of decarbonizing the transportation sector. Emerging technologies are creating an opportunity to reduce GHGs. Human driving behaviors in congested traffic have been shown to create stop-and-go waves. When waves form, cars periodically slow down (sometimes to a stop) and then speed back up again; this repeated braking and accelerating leads to higher fuel consumption, and correspondingly increasing GHG emissions. Flow smoothing, or the use of specially designed adaptive cruise controllers to dissipate these waves, can reduce the fuel consumption of all the cars on the road. By keeping all vehicles at a constant speed, flow smoothing can minimize system-wide GHG emissions. This report presents the results of flow smoothing when used in simulation, discusses current work on implementing flow smoothing in real highways, and presents policy discussions on how to support flow smoothing.

research report

How to Evaluate and Minimize the Risk of COVID-19 Transmission within Public Transportation Systems

Abstract

During the COVID-19 outbreak, serious concerns were raised over the risk of spreading the infection on public transportation systems. As the pandemic recedes it will be important to determine optimal timetable design to minimize the risk of new infections as systems resume full service. In this study, the research team developed an integrated optimization model for service line reopening plans and timetable design. The model combines a space-time passenger network flow problem and compartmental epidemiological models for each vehicle and platform in the transit system. The algorithm can help policymakers to design schedules under COVID-19 more efficiently. The report develops an optimized timetable for the Bay Area Rapid Transit system. The team found that if passengers choose other modes of transportation when closing part of the system or decreasing the frequency of service can prevent the spread of infections, otherwise, if passengers choose to use the closest open station, closings will lead to longer waiting times, higher passenger density and greater infection risk. The researchers found that the goal of stopping the spread of infection could be achieved by minimizing the total delay when infections were similar in different districts across the service area. Where infection rates are different in different districts, minimizing the risk of exposure can be achieved by minimizing weighted travel time where higher weights are applied to areas where the infection rate is highest.