policy brief

Why is Public Transit Falling in the San Francisco Bay Area, and What Might be Done About It?

research report

Rapid Reporting of Vehicle Crash Data in California to Understand Impacts from COVID-19 Pandemic on Traffic and Incidents

Abstract

In 2015, the Road Ecology Center at UC Davis developed a web-based method to collect all incident data that appear on the CHP real-time incident-reporting website (https://cad.chp.ca.gov/). These data are assembled into a database called CHIPS, the California Highway Incident Processing System. Previous analyses suggest that these data are more spatially accurate than other state resources (e.g., the Statewide Integrated Traffic Records System (SWITRS)). Because they are collected and organized in real time, they can also be shared and queried more easily. The current project developed a web portal that supports queries for counties and specific highways (https://roadecology.ucdavis.edu/resources/covid19- traffic). The results shown make apparent the reduction in crashes and traffic during the summer 2020 peak of the COVID-19 pandemic.

research report

Generalized Costs of Travel by Solo and Pooled Ridesourcing vs. Privately Owned Vehicles, and Policy Implications

Abstract

The emergence of “3 Revolutions” in transportation (automation, electrification, and shared mobility) presents a range of questions regarding how consumers will travel in the future, and under what conditions there may be rapid adoption of various services. These include individual on-demand taxi-style services, shared mobility in pooled services, and use of public transit, all with or without drivers. There is now enough data and estimates on the costs of these service combinations, and in some cases ridership data, to consider how consumers are making choices and could do so in the future as things evolve. This project involved: (a) reviewing existing literature and data on consumer mode and vehicle choice; (b) developing new “generalized cost” estimates that combine monetary and non-monetary (e.g., hedonic) components of travel choice, notably incorporating the value of time; and (c) conducting a comparison of the monetary and generalized trip cost for a range of trip types across travel options in the near term (2020) and longer-term (2030-35). Three main travel options were considered: privately owned vehicles, ridesourced solo trips, and ridesourced pooled trips. Consideration of internal combustion vs. battery electric and, in the longer term, automated technology was also core to the analysis. The trips considered include urban and suburban types in the San Francisco metro area, using actual trip characteristics. The results suggest that in the near term, solo ridesourcing is likely to be perceived as significantly more expensive (in terms of monetary and time costs) than pooled ridesourcing or solo private vehicle trips except for those with a very high value of time. Solo ride-sourcing does better in dense, slow, urban trips than in faster suburban trips. In the longer term, with automated driverless vehicles, solo ride-sourcing could become the cheapest mode for many travelers in a range of situations. This report includes an initial consideration of the implications of these policies for affecting travel choices, presumably to push choices toward pooled ride-sourcing as a sustainable option. Vehicle-miles Traveled-based pricing, pricing that could be adjusted with vehicle occupancy, and parking-related approaches are described. A large price signal might be needed to shift travel, given some of the differences in generalized cost found in this analysis.

research report

Uncertainty, Innovation, and Infrastructure Credits: Outlook for the Low Carbon Fuel Standard Through 2030

Abstract

California’s low carbon fuel standard (LCFS) specifies that the state’s transportation fuel supply achieves a 20% reduction in carbon intensity (CI) below 2011 levels by 2030. Reaching the standard will require substantive changes in the fuel mix, but the specifics and the cost of these changes are uncertain. The research team assesses if and how California is likely to achieve the standard, and the likely impact of infrastructure credits on this compliance outlook. The team begins by projecting a distribution of fuel and vehicle miles demand under business-as-usual economic and policy variation and transforms those projections into a distribution of low carbon fuel standard net deficits for the entire period from 2019 through 2030. The researchers then construct a variety of scenarios characterizing low carbon fuel standard credit supply that consider different assumptions regarding input markets, technological adoption over the compliance period, and the efficacy of complementary policies. In the baseline scenario for credit generation, low carbon fuel standard compliance would require that between 60% and 80% of the diesel pool be produced from biomass. The research team’s baseline projections have the number of electric vehicles reaching 1.3 million by 2030, but if the number of electric vehicles reaches Governor Jerry Brown’s goal of 5 million by 2030, then low carbon fuel standard compliance would require substantially less biomass-based diesel. Outside of rapid zero-emission vehicle penetration, compliance in 2030 with the $200 credit price may be much more difficult. New mechanisms to allow firms to generate credits by building electric vehicle charging stations or hydrogen fueling stations have minor implications for overall compliance because the total quantity of infrastructure credits is restricted to be relatively small.

research report

Automatic Generation of School Bus Routes in Los Angeles

Publication Date

February 1, 2020

Author(s)

Cu Hauw Hung, David J Spencer, Mason Porter

Abstract

The goal of the project is to automatically generate school bus routes for the Los Angeles Unified School District (LAUSD). The research team examined four algorithms, including two from the existing literature and two new ones that the team developed. A major focus of the researcher’s work was the construction of “mixed-load routes,” which transport students from multiple schools. Based on the measurements (whose imperfections were discussed), three of the four algorithms perform at least as well as the existing route plan and one of those three performs better than the existing route plan. The research team also delivered a user-friendly routing program to LAUSD that uses one of these algorithms, and the software was publicly available. The research team’s insights and results are also applicable to other school districts that permit mixed-load routing.

research report

The Opportunity Cost of Parking Requirements: Would Silicon Valley be Richer if its Parking Requirements were Lower?

Abstract

We estimated the off-street parking supply of the seven most economically productive cities in Santa Clara County, California, better known as Silicon Valley. Using assessor data, municipal zoning data, and visual inspection with aerial imagery, we estimated that about 14 percent of the land area in these cities is devoted to parking and that over half the average commercial parcel is parking spaces. This latter fact suggested that minimum parking requirements, if binding, could depress Silicon Valley’s commercial and industrial densities, and; thus, its productivity. In an exploratory empirical exercise, we simulated a reduction in parking requirements from the year 2000 forward and showed that under conservative assumptions, the region could have added space for an additional 12,886 jobs, which is 43 percent of the actual job growth that occurred during that time. These additional jobs would be disproportionately located in the region’s highest-wage zip codes, further implying a large productivity gain.

presentation

STEPS+ Deep Dive Webinar

Publication Date

January 1, 2020

presentation

Caltrans Planning Horizons Webinar

presentation

3 Revolutions Policy Webinar Series