The processes in the pavement life cycle can be defined as: material extraction and production; construction; transport of materials and demolition; the use stage, where the pavement interacts with other systems; the materials, construction, and transport associated with maintenance and rehabilitation; and end-of-life. Local governments are increasingly being asked to quantify greenhouse gas emissions from their operations and identify changes to reduce emissions. There are many possible strategies that local governments can choose to reduce their emissions, however, prioritization and selection of which to implement can be difficult if emissions cannot be quantified. Pavement life cycle assessment (LCA) can be used by local governments to achieve the same goals as state government. The web-based software environmental Life Cycle Assessment for Pavements, also known as eLCAP has been developed a project-level LCA tool. The goal of eLCAP is to permit local governments to perform project-level pavement LCA using California specific data, including consideration of their own designs, materials, and traffic. eLCAP allows modeling of materials, transport, construction, maintenance, rehabilitation, and end-of-life recycling for all impacts; and in the use stage it considers the effects of combustion of fuel in vehicles as well as the additional fuel consumed due to pavement-vehicle interaction (global warming potential only). This report documents eLCAP and a project that created an interface for eLCAP that is usable by local governments.
Transportation access is a significant issue in low-income, rural, and otherwise underserved communities in the US, with few affordable and reliable alternatives to car ownership. Carsharing is one promising alternative to improve access among marginalized communities. Grant programs in California have funded pilot electric carshare services. But little is known about the long-term financial sustainability of these services and how their costs and revenues compare those of transit. In this study, a financial model was used to estimate the net operating income (fare revenue minus costs) for Míocar, an electric carsharing service in marginalized suburban and rural communities. The estimated net operating income per month was −$1561, under current operating conditions, and ranged from −$1255 to −$1623 depending on simulated changes to fleet size, pricing, and usage rates. These negative net operating incomes correspond to a shortfall (or need for subsidies) of 68% to 92% of operational costs. Míocar could achieve a higher ratio of fare revenues to operational costs (13%) than existing transit (3 to 8%). To minimize required subsidies, electric carshare operators and prospective carshare communities should carefully consider hub locations (which can affect usage rates), the number of vehicles per hub, and the expected demand over time.
Post-collision travel behavior and effects on road safety perception are not well-understood. To quantify the ways thatcrash-related experiences shape the way individuals think about travel, we conducted four focus group discussions with people who had been involved in a crash or near miss or whose relatives or friends experienced one. Several themes emerged from the discussions. Participants changed their travel behavior after experiencing a collision by modifying their travel mode, travel frequency, trip purposes, or vehicle types. Participants developed an enhanced awareness about potentially unsafe behaviors of other road users and road environments and adopted more cautious attitudes toward their own travel. Many participants experienced long-term stress as a result of the incidents, including fear, behavior modification, or travel avoidance. Participants offered several recommendations, including the need for safer infrastructure, improved road user visibility, a shift in media narratives, educational programs, and policy changes focused on land use and transportation synergies.
Charging-as-a-Service (CaaS) is an innovative electric vehicle (EV) charging station model that allows customers access to EV chargers through a contract with a provider responsible for design, deployment, operations, and maintenance. Little is known about the motivations and experiences of stakeholders involved in CaaS operations, including providers, electric utilities, and customers. A grey literature review identified CaaS services, provider-described benefits, and utility-provided CaaS and charging services. Then, we conducted semi-structured interviews with 13 stakeholders to identify critical themes on interactions between stakeholders and the perceptions, challenges, and opportunities of the CaaS business model in addressing charging station needs in California. CaaS may have structural benefits to customer-owned chargers and could improve charger reliability, provide scalable solutions, and reduce customer fatigue with EV charging deployment. However, CaaS faces the same challenges present in the broader charging industry. The findings in this study can guide policymakers in supporting maintenance-related workforce development and streamlining and crafting EV charging infrastructure-informed subsidy programs. Additionally, stakeholders recommend municipal-led EV infrastructure planning and funding for chargers in disadvantaged communities. These interviews clarify the role of CaaS within the EV charging industry and confirm the need for engaged policymaker support to clear roadblocks, support investment, and educate customers about decision-making, which benefits all EV charging stakeholders.
Reducing vehicle miles traveled (VMT) is a central plank of climate policy in California. VMT, however, has proved stubbornly resistant to policies to reduce it. While urban growth has become more compact and public transit service levels have been maintained or increased, these positive trends have not translated into less driving. This report argues that substantial reductions in vehicle travel in congested urban regions can only be achieved through reducing road capacity. It may be difficult to achieve substantial reductions in vehicle travel by relying solely on public transit, walking and cycling, and land use planning for compact, mixed-use development without an equal emphasis on limiting road capacity expansions, and even reducing current capacity.
Personal safety concerns continue to be one of the most critical issues among transit riders and women and gender minorities in particular. These safety concerns stem from the experience of sexual harassment that people who identify as women face frequently. While harassment can be a common occurrence, the vast majority of these experiences go unreported to transit agencies, leaving agencies without information about the magnitude of this problem on their system. This report details work with the San Francisco Municipal Transportation Agency (SFMTA) in their efforts to understand and address this problem. The SFMTA, working with two UCLA graduate students, designed a survey that drew from previous survey efforts and was tailored to address their interests and needs. This report documents the process of developing and deploying the questionnaire, in an effort to help other agencies take the first steps to better understanding rider safety and harassment. Through breaking down SFMTA’s approach, this report intends to inspire andinform similar efforts at other agencies.
Bicycle level of service (BLOS) is an essential performance measure for transportation agencies to monitor and prioritize improvements to infrastructure, but existing measures do not capture the nuance of facility differences on the state highway system. However, with the advancements in virtual reality (VR) technology, a VR bicycle simulator is an ideal tool to safely gather user feedback on a variety of bicycling environments and conditions. This research explored the benefits and limitations of using a VR environment to assess individuals’ bike infrastructure preferences. We conducted a bicyclist user experience survey in person on SafeTREC’s VR bicycle simulator and online and compared the results. The online survey consisted of showing participants pairs of VR videos of biking scenarios and asking them to choose the one that they preferred. To validate the online survey responses, we conducted in-person experiments with a VR bike simulator using the same pairs of videos. Our analysis indicates that 63 percent of the responses were consistent while a smaller percentage of responses (37 percent) changed after the simulator ride due to better perception provided by the simulator virtual environment. The outcome of this study helped to validate the online survey responses of the study.
The COVID-19 pandemic forced transit agencies to quickly adapt to new challenges, with service reductions as part of the response to reduced ridership, rising fiscal pressures, and staffing shortages. However, approaches to service adjustment varied significantly across agencies. While pandemic research often focuses on ridership impacts, less attention has been given to how transit service changes affected accessibility and equity. This study examines the impacts of pandemic service adjustments made by three major San Francisco Bay Area transit agencies on accessibility and equity, which is important to address given the absence of formal requirements for equity evaluation of temporary service changes. Using publicly available transit schedule and census data, metrics for transit service levels, job accessibility, and accessibility inequality were developed and used to trace changes from 2020 to 2023. The findings reveal distinct approaches to service reduction and restoration, with agencies prioritizing service differently based on travel needs and racial/ethnic minority populations. While equity briefly improved for some agencies during thepandemic, these changes were temporary, with all agencies returning to their pre-pandemic states of inequity. These insights can guide transit agencies in developing equitable service adjustment strategies and highlight the need for decision-making tools to help transit operators balance competing needs and respond flexibly to disruptions.
The aviation sector in California is facing increased pressure to reduce its carbon footprint, leading to a growing interest in alternative fuel aviation (AFA) technologies such as sustainable aviation fuel (SAF), as well as electric- and hydrogen- powered aircraft. The report develops a California Aviation Energy Model (CAVEM), examining various AFA technologies and analyzing possible policy options. The analysis emphasizes the importance of SAF in the short term, with projections indicating sufficient supply for intrastate flights and capped vegetable oil-based fuel consumption. Long-term efforts are focused on electric and hydrogen-powered aircraft, which remain in the early stages of development. Electrification of intrastate flights is deemed feasible, with estimated electricity consumption amounting to a small percentage of overall electricity generation. The report highlights the necessity for additional policy incentives (such as tax exemptions) and a comprehensive policy framework to effectively promote sustainable aviation in the long run.
Recent studies suggest that there could be significant value to electric vehicle (EV) drivers and power companies from incorporating EVs into the state’s electrical power grids, known as Vehicle-Grid Integration (VGI). However, the benefits could be highly variable depending on the location of the utility territory, vehicle type and battery capacity, the relevant timeframe, and whether the connection involves only managed charging or includes bidirectional charging permitting vehicle to grid (V2G) power transfer, and other factors. Various studies conducted to date generally conclude that the opportunities for V2G could have two to three times the value of managed (or “smart”) charging. However, there are considerable additional complications for grid integration, including variable and site-specific implementation costs. Some savings such as deferring distribution system upgrades can be very significant but are also site-specific and depend on the level of curren and projected demands for electric power on the individual distribution feeder lines, and are therefore difficult to predict.
