Researchers at the University of California, Davis utilized existing research to propose updates to current quantification methods and potential new methods for estimating greenhouse gas (GHG) emission reductions from transportation projects funded by California Climate Investments programs. The reports listed in the tables below present research outcomes to inform potential updates to the California Air Resources Board’s (CARB) existing methodologies and the development of new methodologies for estimating GHG emission reductions at the project level.
The results of the research are presented in two papers for each topic area: a summary report and a detailed technical documentation report.
Note: These reports present research findings on quantification methods for California Climate Investments programs and are not intended for use in other programs.
Description: Researchers propose several updates to factors used in existing methods for estimating vehicle miles traveled (VMT) reductions from new bike paths, lanes, and cycle tracks, and propose a new method using bicycle count data in lieu of average daily traffic.
Description: Researchers propose several updates to average trip length and adjustment factors used in existing methods for estimating VMT reductions from car share, bike share, and scooter share services.
Description: Researchers evaluated and provided recommendations for improvement of emission factors related to manure deposition and solids separation, including time budgets for cows and manure deposition locations, solid separators, weeping wall systems, aerobic treatment (lagoons), and gasification systems.
Description: Researchers propose several updates to factors used in existing methods for estimating VMT reductions from new pedestrian facilities, and propose a new method using pedestrian count data in lieu of average daily traffic.
Description: Researchers propose several updates to factors used in existing transit and connectivity (TAC) methods. The first, an “A” factor, is used to account for transit dependency in estimating ridership gains. The second, an “L” factor, is a required input for the estimated length of an average unlinked transit passenger trip associated with the proposed project.