sustainability

This set of planning tools comes from a project that studied land use, transportation planning, and smart growth/sustainable communities strategies in California.

This project focuses on the problem of error detection and data recovery of partially malfunctioning sensors that could provide valuable information. The results of three network examples with different scales demonstrate the applicability of the proposed method in a large variety of scenarios. This research improves fundamental knowledge on transportation data analytics as well as the effective management of data and information infrastructure in transportation practice.

This study provides an overview of the academic literature related to vehicle pricing, examines case studies of locations where pricing has been implemented, and investigates the design choices for programs that would address each of three major externalities related to vehicle use: road damage, emissions (both greenhouse gases and local pollutants), and congestion.

To inform the optimal design of programs to price road use/damage, emissions, and congestion, researchers at UC Davis reviewed published studies, examined existing programs, and investigated potential design choices for such programs. This policy brief summarizes the findings from that study.