These data stem from a project that developed a powerful and user-friendly web-based version of the Integrated Transport and Health Impact Model tool for the Sacramento Area Council of Governments (SACOG) six county region
The purpose of this study is to develop an analytical framework for assignment of individual vehicular trips into viable carpooling pairs under a constrained set of reasonable restrictions, such as temporal and spatial bounds/limits and user preferences.
This dissertation presents a unified framework for understanding plug-in electric vehicle (PEV) usage, with special focus on household factors, user preferences, and PEV technologies. The researcher also looks at energy, emissions, and infrastructure-related factors.
This study explores the factors that affect the use of ridehailing services as well as the adoption of shared (pooled) ridehailing using data collected in California in fall 2018 using a cross-sectional travel survey.